Bioinformatics Jobs

Pay Grade: N Click HERE for Video Who we are. We protect lives. The Georgia Department of Public Health is the lead agency entrusted by the people of Georgia to proudly protect lives and promote healthy lifestyles in diverse communities statewide. We are committed to preventing disease, injury, and disability; promoting health and well-being; and preparing the State of Georgia for responding to disasters. What we offer. As a member of the Georgia Department of Public Health team, you will join a passionate group of individuals who are dedicated to making an impact. No matter your role, you will individually contribute to protecting the lives of all Georgians while receiving a wide range of benefits, so you can: • Make a Professional Impact – Build your career where it matters and protect lives in the community where you live, work, and play • Enjoy Workplace Flexibility – Experience flexibility in how you work so you can be your best self for you and Georgia Residents • Work with a Dynamic and Diverse Team– Collaborative and inclusive way of working where employees share ideas and leverage collective strengths • Achieve Career Longevity – Countless opportunities for continuous learning/development that support a long-term career • Take Part in a Hands-on Working Culture – Unique culture of active engagement and problem-solving, no matter your role • Feel Pride in Where you Work – Be part of making an impact in public health alongside dedicated people just like you As an accredited public health department, we're seeking a highly qualified candidate for the position of Bioinformatics Data Specialist to join the Division of Medical-Clinical Services, Public Health Laboratory located in Decatur, GA. The Georgia Public Health Laboratory (GPHL) seeks a qualified candidate to serve as Bioinformatics Data Specialist in the Division of Bioinformatics to support outbreak investigations and surveillance activities for pathogens of public health concern in the State of Georgia. The selected candidate will report to the Director of Bioinformatics and work closely with team members to develop, evaluate, and apply bioinformatics pipelines for the analysis of second- and third-generation sequencing datasets associated with high-risk pathogens from both clinical specimens and environmental samples. The Data Specialist will also track, review, and submit sequence data to public data repositories such as NCBI and GISAID, will interface with federal, state, academic and industrial partners to perform quality analysis and support data visualizations for genomic surveillance activities. The candidate will also provide quality assurance and quality monitoring of bioinformatics applications, supporting bioinformatics operations and training GPHL laboratory scientists in data management and processing. This is a GRANT FUNDED position and is subject to available grant funds. • Considerable knowledge of the theory and application of molecular biology, pathogen genomics, and bioinformatics in public health. • Ability to compile and formulate data, draw conclusions, and provide interpretations of data. • Proficiency in at least one scripting language (PERL, Python, Java, Nextflow, etc.) and Unix/Linux operating systems. • Capable of developing, testing, and implementing complex bioinformatics pipelines to analyze large sequencing data sets from various sequencing platforms. • Able to troubleshoot and resolve issues associated with databases and bioinformatics pipelines in high-power computing and AWS environments. • Experience with the development and validation of new methods. • Good project and data management skills and capacity to manage multiple projects simultaneously. • Effective oral and written communication skills. Fulfill bioinformatician responsibilities and other job-related duties as required. • Able to implement dashboards for pathogens of public health concerns. • Work successfully as an independent and in a team environment. To collaborate with laboratory, epidemiology and informatics teams for developing standard operating procedures (SOP) documentation for analytical protocols and script and bioinformatics pipeline development. • Able to generate figures, graphs and tables based on data analysis outputs for the quarterly and annual progress reports, conference posters and manuscripts. Bachelor's degree from an accredited college or university with coursework in computer science or management information systems AND Two years of related experience. • Academic transcripts are required* Please upload a copy of all relevant transcripts to this application. Preferred Qualifications • Master’s degree and/or doctoral degree in Bioinformatics, Computational Biology, or Computer Science and 2-4 years of related experience. Candidates with Master’s degree and/or doctoral degree in Microbiology, Molecular Biology, Microbial Genetics, or related field with strong programming knowledge also be considered. • Knowledge and experience with computerized laboratory information management systems (LIMS). • Experience serving as a data specialist with the ability to prioritize, schedule and coordinate the work of others. • Knowledge and experience with CLIA regulations and audits. Georgia Department of Public Health Commissioner and leaders encourage all employees to engage in regular wellness activities and to make lifestyle choices that promote health and well-being. The use of wellness breaks during the workday is authorized to support this philosophy and assist employees in meeting their wellness goals. A maximum of 30 minutes in a given workday may be used to engage in wellness activities, generally in the form of two 15-minute breaks or one 30-minute break. Employment Information All approved teleworking employees must reside within the state of Georgia and depending on the responsibilities of the position, must live within reasonable driving distance of the agency’s primary worksite and be able to report to the office when required. Current State employees are subject to State Personnel Board rules regarding salary. DPH accepts educational credential recognized by the Council for Higher Education Accreditation (CHEA) and/or the US Department of Education (DOE) will be considered. DPH will contact educational institutions to verify degree, diploma, licensure, etc. The candidate selected for this position may be subject to pre-employment drug screening and a criminal background check. Relocation assistance will not be provided. As an employee of DPH, in the event of an identified emergency you may be required, as a term and condition of employment, to assist in meeting the emergency responsibilities of the department. If you require accommodations under the American Disability Act (ADA), email request by the closing date of this announcement to: DPH-HR@dph.ga.gov. DPH is an Equal Opportunity Employer Due to the volume of applications received, we are unable to provide information on application status by phone or e-mail. All qualified applicants will be considered, but may not necessarily receive an interview. Selected applicants will be contacted by the hiring agency for next steps in the selection process. Applicants who are not selected will not receive notification. This position is subject to close at any time once a satisfactory applicant pool has been identified.

The Bioinformatics Research Scientist is responsible for designing, developing, improving, modifying, and operating data analysis pipelines. Manages projects and coordinates other efforts related to analysis and infrastructure as directed. The Bioinformatics Research Scientist is responsible for modifying and operating data analysis pipelines under direct supervision. Works closely with senior scientists to generate/provide analysis results and reports, project reports and perform requested custom analyses. Job Responsibilities: • Evaluate data for quality assurance and mine relevant (e.g., bioinformatics, biomedical, cheminformatics) databases. • Perform comprehensive NGS sequencing (including bulk and single-cell RNA-seq/ATAC-seq and ChIP-seq) analysis, algorithm implementation, programming, and quality check on data to be loaded into biomedical database. • Adopt new and improved tools and web-based applications from literatures. Learn necessary biology knowledge to facilitate bioinformatic analysis. • Assist in the evaluation of products and solutions pertaining to St. Jude's technology needs, in maintaining databases or data warehouse and project reports. • Work with stakeholders (e.g., HPFC, IS, vendors) to ensure tools are up to date and maintain databases. • Perform other duties as assigned to meet the goals and objectives of the department and institution. • Maintains regular and predictable attendance in person. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 6+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 4+ years of relevant post-degree experience (OR) PhD with no experience. • Experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $86,320 - $154,960 per year for the role of Bioinformatics Research Scientist. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). As part of this groundbreaking national research consortium, you will help unravel the molecular mechanisms underlying the benefits of physical activity. Under the supervision of co-PIs Dr. Euan Ashley and Dr. Matthew Wheeler, you will play a crucial role in shaping the future of personalized exercise science and public health. Dr. Euan Ashley's research interests focus on the application of genomics and other omics data to improve clinical care, with an emphasis on cardiovascular disease and personalized medicine. Dr. Matthew Wheeler's research centers on the integration of large-scale molecular and clinical data to understand the genetic basis of cardiovascular diseases and to develop novel therapeutic strategies. By joining our team, your proficiency in applying advanced statistical methodologies, such as multivariate analysis, machine learning, and Bayesian approaches, will be essential for uncovering novel insights and driving innovation in our research efforts. Your strong statistical background and expertise in analyzing large biological datasets. experience in handling diverse omics data will contribute significantly to our understanding of complex biological systems and the development of personalized medicine. You will also contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within MoTrPAC. This innovative project integrates large volumes of clinical and densely time-sampled molecular data, pushing the boundaries of biomedical data analytics. Our portal (https://motrpac-data.org) will push the boundaries of biomedical data analytics to provide insight into the basic and translational science of exercise. Working alongside our multidisciplinary team, you will be at the forefront of understanding how physical activity preserves and improves health, ultimately making a lasting impact on human well-being. To find out more about our studies, you can check our recent publication in Nature and other journals about the endurance exercise training in rats (visit https://motrpac-data.org/publications). To be considered, please submit a resume and a cover letter that describes your interest in this position, and what skills you would bring to this role. Responsibilities: As a Bioinformatics Engineer II, you will contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within the MoTrPAC project. Your primary responsibilities will include: • Collaborate with a multidisciplinary team of scientists and engineers to analyze and interpret large-scale multi-omics data. • Develop and implement innovative bioinformatics tools and methods to further our understanding of molecular mechanisms underlying the effects of physical activity. • Prepare reports and presentations to communicate findings with the team and the larger scientific community. Qualifications: To be successful in this role, you should possess an advanced degree (Ph.D. or M.S.) in a field such as statistics, biomedical informatics, engineering, or computer science along with a minimum of two years of relevant professional experience. They should have expertise in the analysis, execution, and development of pipelines and bioinformatic tools for various omics data and be proficient in programming languages like R and/or Python, as well as Linux bash scripting. Familiarity with pipeline languages, container systems, code management platforms, and systems biology approaches for data integration is also essential. Candidates should demonstrate experience in large-scale data analysis (with emphasis on genomics, transcriptomics, epigenomics datasets), biological domain knowledge, bioinformatics, and software development team-based projects. Additionally, they should be willing to work in a highly collaborative environment, be able to adapt quickly, possess strong communication skills, and have the capacity to work independently. Due to extensive teamwork needed, this is a mostly on-site position. Why Join Us? • Work on a highly exciting and innovative multi-omics project with the potential to revolutionize our understanding of physical activity and health. • Be part of a world-class research team at Stanford University, led by Dr. Euan Ashley, a pioneer in personalized medicine. • Contribute to groundbreaking research with a significant impact on public health and the prevention of diseases. • Enjoy a collaborative and stimulating work environment at one of the top universities in the world. If you are a passionate and dedicated professional with the required qualifications and a strong interest in advancing scientific research, we encourage you to apply for this exciting opportunity. Join us in unraveling the mysteries of physical activity and making a lasting impact on human health. A complete application will include a cover letter. Duties include: • Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. • Determine additional data collection and reporting requirements. • Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. • Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. • Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. • Serve as a resource for non-routine inquiries such as requests for statistics or surveys. • Test prototype software and participate in approval and release process for new software. • Provide documentation based on audit and reporting criteria to investigators and research staff. DESIRED QUALIFICATIONS: • Graduate degree (MS, PhD) emphasizing statistics, biomedical informatics, engineering, and computer science are preferred. • Domain expertise in analysis and running pipelines and bioinformatic tools for at least one of the following ‘omes: genomics, transcriptomics, epigenomics (ATAC-seq, RRBS). Knowledge of metabolomics and proteomics analysis is a plus. • Experience in systems biology approaches for data integration. • Proficiency in Python and/or R and Linux bash scripting. • Experience and knowledge of code management such as GitHub. • Experience with pipeline languages such as WDL, snakemake, and/or nextflow. • Proven track record of working with data and infrastructure in an HPC (High-Performance Computing) cluster or cloud computing environments like Google Cloud Platform, AWS, or Azure. • Experience with container systems such as setting up virtual machines and docker instances. • Experience in developing tools and statistical methods for large-scale data analysis is a plus. • Biological domain knowledge (exercise science is a plus). EDUCATION & EXPERIENCE (REQUIRED): • Bachelor's degree and three years of relevant experience or combination of education and relevant experience. • Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Substantial experience with MS Office and analytical programs. • Excellent writing and analytical skills. • Ability to prioritize workload. CERTIFICATIONS & LICENSES: • None PHYSICAL REQUIREMENTS*: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. WORKING CONDITIONS: • Some work may be performed in a laboratory or field setting. WORKING STANDARDS: • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/. The expected pay range for this position is $104,358 to $128,038 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: • Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. • A caring culture. We provide superb retirement plans, generous time-off, and family care resources. • A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. • Discovery and fun. Stroll through historic sculptures, trails, and museums. • Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Cell Signaling Technology, Inc. (CST) is a worldwide leader in developing and commercializing antibodies, assays, and research tools. One of our most successful community initiatives is our Summer Internship Program. By employing and training students from our surrounding communities and colleges, CST is able to provide our summer interns with a positive hands-on experience in our Bioinformatics & Data Science department, where they can learn valuable skills from a multi-disciplinary team of scientists and engineers. Many of the student interns are invited to continue their internship for consecutive years, and after completing their degrees, some return to CST as full-time employees. Our internship positions are paid positions and are full-time roles, Monday-Friday. As a Bioinformatics & Data Science Intern at CST, you will tackle real-world challenges that directly contribute to our mission of advancing biomedical research. Youll explore AI and machine learning techniques, develop innovative algorithms, and build scalable data pipelines to empower scientists in making groundbreaking discoveries. This role is designed to bolster your technical skills, enhance your problem-solving abilities, and provide true interdisciplinary experienceall while making a tangible impact on CSTs success. Responsibilities: CST interns will become key contributors to the Bioinformatics & Data Science teams, engaging in a range of impactful projects and responsibilities, including: • Analyzing and interpreting large datasets from biological experiments. • Assisting in the design, development, and maintenance of bioinformatics databases and pipelines. • Developing and applying advanced bioinformatics tools and algorithms. • Writing algorithms and scripts to automate complex data analysis tasks. • Creating clear, visually engaging representations of data and analytical results. • Collaborating with research scientists and team members across disciplines. • Preparing detailed reports and presentations to share project findings. Required Skills & Experience: Must be currently enrolled in an Undergraduate program in Computer Science, Data Science, or other scientific disciplines relating to bioinformatics or computational biology. Graduate students are not eligible for this program. • Have successfully completed a college STEM (Science, Technology, Engineering, Math) class. • Should possess a passion for technology, science and learning informatics. • Exhibit strong communication and collaboration skills. Application Instructions: Applications will be accepted from December 16, 2024, to January 10, 2025 Applications will ONLY be accepted if they are submitted via the CST Career site and must include the following: • A Resume • A link to a YouTube Video (60-second video introducing yourself and describing how an internship at CST will contribute to your future goals) • 1 Letter of Recommendation • Copy of an unofficial transcript Returning interns should apply with an updated copy of their resume only. No other application material is needed. Graduate students are not eligible for this program. Note: Instructions on uploading videos to YouTube can be found by following this link. If needed, Letters of Recommendation and Unofficial Transcripts may be emailed to internships@cellsignal.com. We will accept Letters of Recommendation and Unofficial Transcripts until January 31, 2025. Returning interns are given priority but are not guaranteed a position. Projected Program Dates: May 27, 2025 - August 15, 2025 Cell Signaling Technology, Inc. is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, genetic information, status as a veteran or as a member of the military or status in any group protected by applicable federal or state laws.

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity, diversity, and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace diversity, inclusion, and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Bioinformatics Analyst. NYU Langone Health, a world-class, patient-centered, integrated, academic medical center, and one of the nations premier centers for excellence in clinical care, biomedical research and medical education, is seeking highly motivated, enthusiastic individual to join the Imielinski Lab at the Perlmutter Cancer Center. The successful candidate will be responsible for genome analysis, algorithm development, and innovative cutting-edge cancer research conducted in the Imielinski Lab and Perlmutter Cancer Center. Job Responsibilities: Assist in preparing concise presentations of computational results. Work with the Perlmutter Cancer Center cancer genomics team to integrate different types of genomics data. Adapt genomic data analysis pipelines in a rapidly evolving research environment. Assist in the design, implementation and execution of novel algorithms in lab centered and collaborative research projects. Assist in the design, implementation, and execution standard pipelines for routine genomics data analyses Perform robust data quality control and validation. Develop expertise in various types of sequencing data analysis (e.g. , whole genome sequencing and 3D chromatin data from short and long reads, optical mapping, and single-cell sequencing.). Other duties as assigned. Work closely with bench scientists to understand and help accomplish their research goals. Minimum Qualifications: To qualify you must have a B.S. in mathematics, biological sciences, computer science or related disciplines. Experience in Unix/Linux systems including HPC environments; Scripting languages: Python or Perl; Statistical packages: R (preferred) or Matlab. Excellent communication skills with proficiency in written and oral English. Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online. If you wish to view NYU Grossman School of Medicine's EEO policies, please click here. Please click here to view the Federal "EEO is the law" poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $67,771.14 - $71,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

Payroll Title: BIOINFORMATICS PROGR 1 Department: PEDIATRICS Hiring Pay Scale $33.29 - $46.22 / Hour Worksite: La Jolla Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 Hour Shifts, Monday-Friday #133492 Bioinformatics Programmer 1- Hybrid Filing Deadline: Wed 1/8/2025 Apply Now UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply. UCSD Layoff from Career Appointment: Apply by 12/11/2024 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 12/23/2024. Eligible Special Selection clients should contact their Disability Counselor for assistance. This position will work a hybrid schedule which includes a combination of working both onsite at Campus and remote. DESCRIPTION Department of Pediatrics is one of the largest departments within the UCSD School of Medicine with comprehensive clinical programs, extensive basic science and clinical research, and diverse educational opportunities for students, residents and fellows. The internationally renowned faculty play a major role in medical and graduate student training, providing educational and programmatic offerings that span several disciplines and provide diversity to meet the interests of a broad spectrum of students and scholars. More than one hundred trainees at the graduate student and postdoctoral level, as well as more than 300 professional, research and administrative staff who along with the department administrators interact closely with the faculty. The diverse mix of ages, backgrounds, and talents creates a robust work environment with challenging career opportunities and a commitment to continued growth potential. We constantly seek to recruit highly motivated, technologically-advanced and interested individuals to become a part of our dynamic cutting-edge research, clinical, and educational environment. The Knight lab in the Departments of Pediatrics, Bioengineering, Computer Science & Engineering, and the Halicioglu Data Science Institute uses and develops state-of-the-art computational and experimental techniques to ask fundamental questions about the evolution of the composition of biomolecules, genomes, and communities in different ecosystems, including the complex microbial ecosystems of the human body. We subscribe to an open-access scientific model, providing free, open-source software tools and making all protocols and data publicly available in order to increase general interest in and understanding of microbial ecology, and to further public involvement in scientific endeavors more generally. Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and complexity. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained. The incumbent assists with web development (JavaScript, React), Python (Django), and database creation and management (Postgres, MongoDB) and cloud-based application (AWS) technologies to develop data management and analysis workflows. Maintains software using the lab's Github account and ensures proper software development practices for in-house and shared bioinformatics analysis pipelines. This position also assists in additional analyses as needed to achieve research objectives. Performs other duties as assigned. MINIMUM QUALIFICATIONS • Four (4) years of related experience, education/training or Bachelor's degree in biological science, computational/programming. • Basic knowledge of bioinformatics methods and data structures. • Basic knowledge of applications programming and web development. • Basic knowledge of databases. • Basic project management skills. • Basic knowledge of modern biology and applicable field of research. • Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. • Ability to communicate technical information in a clear and concise manner. • Self motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills. • Basic knowledge of application and data security concepts. • Proficiency in Python, Javascript, and git version control systems. PREFERRED QUALIFICATIONS • Basic understanding of biological data (e.g., genetic sequences, evolutionary biology, epidemiology). SPECIAL CONDITIONS • Employment is subject to a criminal background check. • Remote work during evenings and weeks may be required. Pay Transparency Act Annual Full Pay Range: $69,500 - $123,500 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $33.29 - $59.15 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team! Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. UC San Diego is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the University of California’s Affirmative Action Policy please visit: https://policy.ucop.edu/doc/4010393/PPSM-20 For the University of California’s Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information. UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening. Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: • UC Sexual Violence and Sexual Harassment Policy • UC Anti-Discrimination Policy • Abusive Conduct in the Workplace

The Department of Defense (DoD) is offering a Post Bachelor's or Post Master's internship at the Walter Reed Army Institute of Research (WRAIR) located in Silver Spring, Maryland. Within WRAIR, the Multidrug-Resistant Organism Repository and Surveillance Network (MRSN) is a unique entity that serves as the primary surveillance organization for antibiotic-resistant bacteria across the Military Health System (MHS). The laboratory receives and processes (routine ID, Antibiotic Susceptibility Testing and Whole Genome Sequencing) ~1,000 new isolates of ESKAPE+ pathogens every month from military hospitals across the world, and routinely collaborates with other U.S. Government agencies, allied nations, and academic research institutions. Our work directly impacts the DoD and MHS by: • Providing real-time analysis, at the genomic scale, of the prevalence and mobility of “superbugs”, outbreak and antibiotic resistance genes. • Conducting retrospective and prospective analyses on the emergence of antibiotic resistance and bacterial epidemiology across the entire enterprise. • Assisting healthcare centers and infection control services to detect and appropriately respond to outbreaks using the most advanced and accurate molecular methods available What will I be doing? Under the guidance of a mentor and as the selected candidate, you will gain extensive experience in the following: • Performing the comparative genomic analysis of hundreds of epidemiology-linked isolates (ongoing outbreaks in military hospitals) of MDR Enterococcus spp. Staphylococcus spp., Klebsiella spp., Acinetobacter spp., Pseudomonas spp., Enterobacter spp., and Escherichia coli. • Using a variety of bioinformatic tools and software to analyze bacterial genomes for the purpose of outbreak investigations and local, national, and international bacterial epidemiology. • Collaborating extensively with internal and external researchers on the molecular genetics of antibiotic-resistant bacteria. • Analyzing and researching the global dissemination of antibiotic-resistant bacteria and participate in real-time surveillance for these organisms throughout the MHS. • Gaining hands-on knowledge of both short-read and long-read DNA sequences using the Illumina Miseq and Nextseq systems and the Oxford Nanopore MinIon platform. • Conducting analyses using the most state-of-the-art software and bioinformatics tools. • Programming experience using Linux, Python, R. Broadly speaking, you will have the opportunity to have advanced hands-on learning experiences that will greatly enhance your professional career goals. Why should I apply? Under the mentorship of WRAIR staff, you will be part of establishing a fundamental understanding of translational, military-relevant scientific research. You will be encouraged to expand your network of scientific colleagues and seek collaborations within the U.S. Department of Defense, academia, and commercial companies. Furthermore, you will be challenged to develop new and innovative methods for analyzing bacterial genomes and will have the opportunity to make significant contributions to this emerging field while conducting research in one of the most comprehensive sequencing laboratories in the USA. Where will I be located? Silver Spring, Maryland What is the anticipated start date? The WRAIR is ready to make appointments immediately. Exact start dates will be determined at the time of selection and in coordination with the selected candidate. Applications are reviewed on an ongoing basis and internships or fellowships will be filled as qualified candidates are identified. Appointment Length This appointment is a twelve-month, with the possibility to be renewed for additional research periods. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant. What are the benefits? Participants will receive a stipend to be determined by WRAIR. Stipends are typically based on the participant’s academic standing, discipline, experience, and research facility location. Other benefits may include the following: • Health Insurance Supplement. Participants are eligible to purchase health insurance through ORISE. • Relocation Allowance • Training and Travel Allowance About WRAIR The Walter Reed Army Institute of Research (WRAIR) aims to conduct biomedical research that is responsive to Department of Defense and U.S. Army requirements and delivers lifesaving products including knowledge, technology and medical material that sustain the combat effectiveness of the warfighter. WRAIR provides unique research capabilities and innovative medical solutions to a range of Force Health Protection and Readiness challenges currently facing U.S. Service Members, along with threats anticipated during future operations. See www.wrair.army.mil for more information. About ORISE This program, administered by Oak Ridge Associated Universities (ORAU) through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and DoD. Participants do not enter into an employee/employer relationship with ORISE, ORAU, DoD or any other office or agency. Instead, you will be affiliated with ORISE for the administration of the appointment through the ORISE appointment letter and Terms of Appointment. Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE. For more information, visit the ORISE Research Participation Program at the U.S. Department of Defense.

Help us change lives At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others. Position Overview We are seeking a motivated and enthusiastic summer intern to join our bioinformatics team. This internship will provide hands-on experience in testing and benchmarking start-of-art deep learning-based variant callers, contributing to cutting-edge research in genomic data analysis. The intern will work closely with our bioinformatics scientists, gaining practical skills in variant calling pipelines, data processing, and performance evaluation. Essential Duties Include, but are not limited to, the following: Set up and run deep learning-based variant calling tools including DeepSomatic on synthetic or R&D generated genomic datasets. Test and benchmark various variant callers, focusing on accuracy, speed, and resource utilization. Analyze and compare results from different tools to determine their strengths and weaknesses. Collaborate with team members to refine evaluation criteria and report findings. Document processes, results, and insights gained during testing. Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork. Support and comply with the company’s Quality Management System policies and procedures. Maintain regular and reliable attendance. Ability to act with an inclusion mindset and model these behaviors for the organization. Scheduling requirements: Ability to work designated schedule from June 2025 to August 2025. Physical requirements: Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 100% of a typical working day. Minimum Qualifications Senior Masters or Ph.D. student, majoring in Bioinformatics, Computational Biology, Data Science or a related field Have extensive experience of handling and analyzing Next Generation Sequencing (NGS) datasets. Familiarity with major bioinformatics algorithms, particularly variant calling process. Have experience with genomics data preprocessing and feature engineering. Must have a good understanding of genomics data and bioinformatic algorithm development process Experience with deep learning frameworks, concepts and techniques. Strong problem-solving skills and attention to detail. Good communication skills and the ability to work independently. Demonstrated ability to perform the essential duties of the position with or without accommodation. Authorization to work in the United States without sponsorship. #LI-AT1 Salary Range: $37,000.00 - $59,000.00 The annual base salary shown is for this position located in US - CA - San Diego on a full-time basis, and may differ by hiring location. Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits. Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here. Not ready to apply? Join our talent community and stay up to date on what’s new at Exact Sciences. We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, gender identity, national origin, protected veteran status, race, religion, sex, sexual orientation, and any other status protected by applicable local, state, or federal law. Any applicant or employee may request to view applicable portions of the company’s affirmative action program. To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know. Exact Sciences encourages you to explore our open job opportunities. In an ever-growing online society, it's important to be vigilant about providing personal information online. Job applications are processed through our Workday Careers site (URL contains "myworkdayjobs.com") and all correspondence with recruiters, hiring managers, and other company representatives will match this email format: firstinitiallastname@exactsciences.com If you are questioning any correspondence from Exact Sciences, please email hr@exactsciences.com to confirm validity. At Exact Sciences, we're helping eradicate cancer by preventing it, detecting it earlier, and guiding its personalized treatment. Learn more about how we're committed to giving everyone more time for the moments that matter.

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). As part of this groundbreaking national research consortium, you will help unravel the molecular mechanisms underlying the benefits of physical activity. Under the supervision of co-PIs Dr. Euan Ashley and Dr. Matthew Wheeler, you will play a crucial role in shaping the future of personalized exercise science and public health. Dr. Euan Ashley's research interests focus on the application of genomics and other omics data to improve clinical care, with an emphasis on cardiovascular disease and personalized medicine. Dr. Matthew Wheeler's research centers on the integration of large-scale molecular and clinical data to understand the genetic basis of cardiovascular diseases and to develop novel therapeutic strategies. By joining our team, your proficiency in applying advanced statistical methodologies, such as multivariate analysis, machine learning, and Bayesian approaches, will be essential for uncovering novel insights and driving innovation in our research efforts. Your strong statistical background and expertise in analyzing large biological datasets. experience in handling diverse omics data will contribute significantly to our understanding of complex biological systems and the development of personalized medicine. You will also contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within MoTrPAC. This innovative project integrates large volumes of clinical and densely time-sampled molecular data, pushing the boundaries of biomedical data analytics. Our portal (https://motrpac-data.org) will push the boundaries of biomedical data analytics to provide insight into the basic and translational science of exercise. Working alongside our multidisciplinary team, you will be at the forefront of understanding how physical activity preserves and improves health, ultimately making a lasting impact on human well-being. To find out more about our studies, you can check our recent publication in Nature and other journals about the endurance exercise training in rats (visit https://motrpac-data.org/publications). To be considered, please submit a resume and a cover letter that describes your interest in this position, and what skills you would bring to this role. Responsibilities: As a Bioinformatics Engineer II, you will contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within the MoTrPAC project. Your primary responsibilities will include: • Collaborate with a multidisciplinary team of scientists and engineers to analyze and interpret large-scale multi-omics data. • Develop and implement innovative bioinformatics tools and methods to further our understanding of molecular mechanisms underlying the effects of physical activity. • Prepare reports and presentations to communicate findings with the team and the larger scientific community. Qualifications: To be successful in this role, you should possess an advanced degree (Ph.D. or M.S.) in a field such as statistics, biomedical informatics, engineering, or computer science along with a minimum of two years of relevant professional experience. They should have expertise in the analysis, execution, and development of pipelines and bioinformatic tools for various omics data and be proficient in programming languages like R and/or Python, as well as Linux bash scripting. Familiarity with pipeline languages, container systems, code management platforms, and systems biology approaches for data integration is also essential. Candidates should demonstrate experience in large-scale data analysis (with emphasis on genomics, transcriptomics, epigenomics datasets), biological domain knowledge, bioinformatics, and software development team-based projects. Additionally, they should be willing to work in a highly collaborative environment, be able to adapt quickly, possess strong communication skills, and have the capacity to work independently. Due to extensive teamwork needed, this is a mostly on-site position. Why Join Us? • Work on a highly exciting and innovative multi-omics project with the potential to revolutionize our understanding of physical activity and health. • Be part of a world-class research team at Stanford University, led by Dr. Euan Ashley, a pioneer in personalized medicine. • Contribute to groundbreaking research with a significant impact on public health and the prevention of diseases. • Enjoy a collaborative and stimulating work environment at one of the top universities in the world. If you are a passionate and dedicated professional with the required qualifications and a strong interest in advancing scientific research, we encourage you to apply for this exciting opportunity. Join us in unraveling the mysteries of physical activity and making a lasting impact on human health. A complete application will include a cover letter. Duties include: • Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. • Determine additional data collection and reporting requirements. • Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. • Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. • Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. • Serve as a resource for non-routine inquiries such as requests for statistics or surveys. • Test prototype software and participate in approval and release process for new software. • Provide documentation based on audit and reporting criteria to investigators and research staff. DESIRED QUALIFICATIONS: • Graduate degree (MS, PhD) emphasizing statistics, biomedical informatics, engineering, and computer science are preferred. • Domain expertise in analysis and running pipelines and bioinformatic tools for at least one of the following ‘omes: genomics, transcriptomics, epigenomics (ATAC-seq, RRBS). Knowledge of metabolomics and proteomics analysis is a plus. • Experience in systems biology approaches for data integration. • Proficiency in Python and/or R and Linux bash scripting. • Experience and knowledge of code management such as GitHub. • Experience with pipeline languages such as WDL, snakemake, and/or nextflow. • Proven track record of working with data and infrastructure in an HPC (High-Performance Computing) cluster or cloud computing environments like Google Cloud Platform, AWS, or Azure. • Experience with container systems such as setting up virtual machines and docker instances. • Experience in developing tools and statistical methods for large-scale data analysis is a plus. • Biological domain knowledge (exercise science is a plus). EDUCATION & EXPERIENCE (REQUIRED): • Bachelor's degree and three years of relevant experience or combination of education and relevant experience. • Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Substantial experience with MS Office and analytical programs. • Excellent writing and analytical skills. • Ability to prioritize workload. CERTIFICATIONS & LICENSES: • None PHYSICAL REQUIREMENTS*: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. WORKING CONDITIONS: • Some work may be performed in a laboratory or field setting. WORKING STANDARDS: • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/. The expected pay range for this position is $104,358 to $128,038 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: • Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. • A caring culture. We provide superb retirement plans, generous time-off, and family care resources. • A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. • Discovery and fun. Stroll through historic sculptures, trails, and museums. • Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description The Bioinformatics Intern will apply broad skillsets in structural bioinformatics, statistical modeling, and machine learning algorithms to advance drug discovery projects. The candidate will integrate experimental data with genomic/structural database resources to design biologic modalities with optimized potency and developability. The candidate will work effectively in a matrixed organization with colleagues across functions to directly contribute to Takeda’s R&D pipeline. How You Will Contribute: • Build computational tools to guide the design of protein therapeutics • Perform molecular modeling to investigate the structural basis for binding interactions and functional properties of biological systems • Apply deep learning approaches such as biological language models, graph neural networks, and generative diffusion models to solve challenges in drug development • Create visualizations, interpret high dimensional data, and explain results to cross-functional teams. Prepare and present comprehensive scientific reports • Work collaboratively with scientists and engineering groups to enhance Takeda’s platform of analytics and bioinformatics tools Internship Development Opportunities: • Hands-on experience in bioinformatics and data analysis • Mentorship from experienced scientists and bioinformaticians • Exposure to real-world research projects and cutting-edge technology • Networking opportunities within the biotech industry • A collaborative and inclusive work environment Job Requirements: • This is hybrid position located in Cambridge, MA • Candidates must be currently enrolled in Masters or Doctoral program graduating December 2025 or later • Currently pursuing a degree in Bioinformatics, Computational Biology, Biology, Computer Science, or a related field • Familiarity with bioinformatics software and databases (e.g., BLAST, GenBank, UCSC Genome Browser) • Proficiency in programming languages such as Python, R, or Perl • Basic understanding of molecular biology, immunology, and statistical analysis • Strong analytical skills and attention to detail • Excellent communication and teamwork skills • Ability to work independently and manage time effectively Internship Eligibility • Must be authorized to work in the U.S. on a permanent basis without requiring sponsorship • Must be currently enrolled in a degree program graduating December 2025 or later • The internship program is 10-12 weeks depending on the two start dates (June 2nd- August 22nd) or (June 16th - August 29th) • The intern must be able to commit to one of these time frames • Able to work full time 40 hours a week during internship dates • Takeda does not provide a housing stipend or relocation support for the U.S Summer Internship Program Program Highlights: • Hands-on experience with real projects and responsibilities • Dedicated mentorship program pairing interns with experienced professionals • Networking opportunities with industry professionals and fellow interns • Internship events focused on professional and skills development • Exposure to multiple business areas or departments within a Pharmaceutical Organization Applications accepted between December 18th and January 12th Takeda Compensation and Benefits Summary We understand compensation may be an important factor as you consider an internship opportunity. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Cambridge, MA U.S. Hourly Wage Range: $21.00 - $46.00 The estimated hourly range reflects an anticipated range for this position. The actual hourly wage offered will depend on the candidate’s school year/level to be entered following completion of internship. The actual hourly wage offered will be in accordance with state or local minimum wage requirements for the job location. U.S. internship benefits vary by location and may include: • Paid sick time • Civic Duty paid time off • Participation at company volunteer events • Participation at company sponsored special events • Access to on-site fitness center (where available) • Commuter Benefit: To offset your work-commute expenses, Takeda provides U.S. employees with a fixed monthly subsidy to be used for either public transportation (transit) or parking. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Cambridge, MA Worker Type Employee Worker Sub-Type Paid Intern (Fixed Term) (Trainee) Time Type Full time Job Exempt No