Bioinformatics Jobs

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 The Bioinformatics Scientist I, with limited guidance from more experienced scientists, works individually and in collaboration with others on multiple projects which are moderate to complex in scope. The Bioinformatics Scientist I plays an active role in planning of projects and analyses and is often the bioinformatics lead responsible for the successful execution of the project. This position involves independently making detailed observations, analyzing data and interpreting results. Working in a team setting, the Bioinformatics Scientist I, will primarily be involved in Research and Development projects serving as a technical lead in translating research ideas and concepts into the product development pipeline towards development of diagnostic assay products. Essential Duties Include, but are not limited to, the following: • Conduct analyses within several product or technology areas and identify problems and discrepancies. • Independently plan and analyze results of bench level experiments within several product or technology areas. • Manage bench-generated data and bioinformatics outputs within high performance computing (HPC) or cloud computing environment. • Utilize and apply methods or technologies effectively and provide ideas for new techniques, when appropriate. • Maintain knowledge of technological industry developments that could assist in completion of an assignment or aid in the development of new processes or procedures. • Provide technical input and participate in decisions affecting project planning and experimental design. • Prepare and provide information and data for scientific abstracts/conferences/project meetings/publication. • Generate, document, and communicate development plans for critical aspects of a project. • Participate in the development of research plans and experimental outlines. • Prepare detailed technical procedures, protocols, and reports. • Evaluate impact of nonconforming data to product or process. • Identify and address trends in study data. • Prepare and approve written reports. • Lead identification of areas for process improvements. • Maintain lab notebook in a clear, complete, and consistent manner, following all legal, ISO, and QSR requirements. • Prepare reports and documentation providing the analysis or summarization of results, outcomes and next steps to supervisor, technical teams/groups, or project teams. • Present results and defend scientific ideas and findings at data meetings, group meetings, project team meetings, and/or departmental meetings; provide technical input as needed. • Demonstrate technical proficiency and knowledge, scientific creativity, collaboration with others, and independent thought and ability to provide insights and defend scientific ideas. • Work on problems of diverse and complex scope in which analysis of data requires evaluation of identifiable factors. • Exercise judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions. • Work on individual assignments and with project team members as appropriate to meet department and project objectives. • Work within project timeframes that are established collaboratively by team members. • Act as technical leader for one or more projects that are moderate to complex in scope. • Exercise discretion and independent judgement within broadly defined practices and policies in: selecting methods, techniques and evaluation criteria for obtaining and interpreting results; analyzing data and presenting findings in a professional and knowledgeable manner. • Promote an open, collaborative environment built on trust to foster positive teamwork. • Assist in planning and recommendation of activities that account for prioritization of organizational and department goals. • Ability to train and mentor bioinformatics associates. • Ability to organize, present, and convey moderate problems or issues. • Ability to communicate clearly with supervisor and group members. • Demonstrate excellent presentation. • Ability to collaborate, work effectively and contribute within team, department, and cross functional teams. • Demonstrate strong attention to detail skills. • Ability to effectively work on several varied projects at one time, with frequent changing priorities. • Demonstrate excellent analytical, problem solving and decision-making skills. • Apply sound technical knowledge and ability gained through experience and/or learning. • Apply previous knowledge and outcomes to new and valuable problems (able to make predictions based on a deep understanding of the fundamental nature of the inputs into a decision or action). • 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. • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day. • Ability to work on a computer and phone simultaneously. • Ability to travel 5% of working time away from work location, may include overnight/weekend travel. Minimum Qualifications • PhD in bioinformatics, computational biology, computer science, mathematics, or related field; or Master's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 4 years of experience in lieu of a PhD; or Bachelor's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in lieu of PhD. • 1+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry. • Extensive experience in Linux-based HPC or cloud computing environments and associated tools. • Ability to write custom code in at least three programming or scripting languages. • Knowledge of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics. • Working knowledge of statistical and mathematical methods in biology/genetics/genomics, including experience with statistical software, such as JMP or R. • Basic computer skills to include Internet navigation, Email usage, and word processing. • Proficient in Microsoft Office to include Excel, Word, and PowerPoint. • Demonstrated ability to perform the essential duties of the position with or without accommodation. • Authorization to work in the United States without sponsorship. Preferred Qualifications • 2+ years of industry or academic experience, post doc. • Experience in an FDA-regulated environment, ideally in medical device development. • Experience in a biotech manufacturing environment, preferably in an GMP and/or ISO environment. Salary Range: $93,000.00 - $149,000.00 The annual base salary shown is for this position located in US - CA - San Diego on a full-time basis. In addition, this position is bonus eligible, and is eligible to receive company stock upon hire as well as annually. 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 . 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This Position is Grant Funded School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Bioinformatician I Summary We are looking for a talented and motivated individual to work with teams of Researchers and Scientists providing bioinformatics expertise, consulting, application development, and support as part of the Duke Predictive Modeling Center (PMC), an NHGRI-funded center with the Impact of Genomic Variation on Function (IGVF) Consortium. Work performed • Contribute to the design, development, adaptation, implementation, and testing of neural networks that are used for predictive modeling of genomic data. (30%) • Train predictive models using machine learning approaches and technologies. This might include not only writing new code but repackaging and documenting existing scripts to make them reusable and easy to maintain. Work will include training models and will require navigating dynamic computing environments. (25%) • Collaborate and consult with researchers individually or in small groups to analyze problems, recommend technology-based solutions, and design computational strategies for a wide range of biological research. Initiate interdisciplinary collaborations with other centers or departments within the Duke PMC and in collaboration with other research teams with the IGVF consortium. (20%) • Recommend new methods, strategies, and improvements to incorporate into existing models. Try latest tools and analysis methods for new non-conventional genomic data (e.g. CRISPR screens), evaluating their fit and gradually incorporating them into existing analysis pipelines. (15%) • Provide training on bioinformatics-related concepts, applications and tools to researchers across the PMC and relevant teams within the IGVF. Design and participate in hands-on workshops to teach scientists how to use predictive models and associated neural networks so that these resources are accessible to other groups. (10%) Skills • Experience working with high throughput sequencing datasets (e.g. RNA-seq, ChIP-seq, ATAC-seq, etc.). • Strong and demonstrable programming skills in Python, Tensorflow, and/or R. • Experience with collaborative development environments, including management of shared repositories (github). • Good communication skills; run and deliver results in a clear and precise way. • Familiarity with High Performance Computing clusters (e.g. SLURM, PBS), including computing environments constructed with CPUs and GPUs. • Familiarity with workflow languages (e.g. CWL, WDL). Education This position requires a B.S. in Bioinformatics or the Biological Sciences with demonstrable computational skills; or a B.S. in Computer Science with a strong interest in Biology/Genomics. M.S. preferred. Experience Strong expertise with programming required. Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values. Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essentialjob functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.

The Senior Bioinformatics Research Scientist performs data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Provides bioinformatics analysis for investigators and communicates analytical process and results. The Center for Applied Bioinformatics (CAB) at St. Jude Children's Research Hospital is seeking a highly motivated Senior Bioinformatics Research Scientist to join the Transcriptomics Group. CAB is an institutional shared resource dedicated to providing state-of-the-art bioinformatics services to St. Jude investigators. Our Center collaborates with lab scientists and physician-scientists at multiple stages of their research, from study design, data analysis to preparation for presentations, grant proposals, and co-authoring manuscripts. We uphold the highest level of scientific rigor by carefully vetting and documenting all bioinformatics methods and pipelines. The successful candidate will develop and apply innovative analytical approaches to analyze & interpret new and existing multi-omic datasets obtained from both clinical and basic research lab, including bulk tumor/normal, single-cell/nucleus, and spatial-omic profiles. These analyses will contribute to understanding the underlying mechanisms driving pediatric cancers and other human diseases. The candidate will work closely with other bioinformatics personnel within CAB, playing an integral role in exciting research partnerships both within St. Jude and with external collaborators. He/she will contribute to establish the pipelines and best practice to characterize bulk or single cell RNA isoforms and noncoding RNA transcripts with long read sequencing technologies. He/she follows and adheres to best practices in structured transparent project management by tracking progress, identifying roadblocks, and proposing solutions, developing specific milestones for each research goal, and providing informative progress reports and summaries to principal investigators. The Center provides a highly interactive environment with collaborative opportunities across basic and clinical departments. You'll have access to high performance computing clusters, cloud computing environments, innovative visualization tools, highly automated analytical pipelines, and mentorship from experienced scientists. Members of this Center have the opportunities to publish high profile papers with prominent authorship depending on their intellectual contributions. The ideal candidate should have: · A PhD and extensive post-PhD experience in bioinformatics, computational biology, and data science. · A strong CV that includes high-profile publications in the field of computational biology, cancer genomics, and/or single-cell genomics. · Experience analyzing some/all the following platforms: whole-genome/exome sequencing, RNA-seq. ATAC-seq, ChIP-seq/CUT&RUN, single-cell/nucleus RNA-seq, CITE-seq, single cell multiome (ATAC+GEX), spatial transcriptomics, and long-read sequencing (e.g., PacBio and Oxford Nanopore) · Proficiency in relevant programming languages such as R and Python, preferably in a High-Performance Computing (HPC) environment. · Proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow), and version control (e.g., git). · Proficiency in tool development, including examples documented in public repositories. · Extensive expertise in data integration and harmonization. · Proven problem-solving skills and collaborative nature in fast-paced environment. · Excellent communication and presentation skills. Job Responsibilities: • Provide research support and deliver high-quality results by formulating an efficient analytical approach with the available data. • Deliver data files, and document the analytical process. May participate in manuscript preparation at project's conclusion. • Assist with establishing and documenting protocols or best practices for common research tasks, and in the formulation of analytical plans that use the best approach to address challenging data analysis questions. • Assist in the evaluation and testing of new methods and technologies. • Contribute ideas to automate or improve existing analysis methods. Implement the improvement or work with others to do so. • Participate in the department's developmental projects and interdepartmental team projects. • Perform other duties as assigned to meet the goals and objectives of the department and institution. • Maintains regular and predictable attendance. 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 7+ 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 5+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience. • Significant 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 $104,000 - $186,160 per year for the role of Senior 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.

WHY PATIENTS NEED YOU Pfizer's purpose is to deliver breakthroughs that change patients' lives. Research and Development is at the heart of fulfilling Pfizer's purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world. POSITION SUMMARY Pfizer is seeking a talented, self-motivated Scientist (Bioinformatics) with background in developing analytical algorithm, data processing pipeline to support mRNA vaccine data analytics and next generation sequencing efforts in vaccines R&D team at Pearl River. Responsibilities will be driving therapeutic innovation through contributing to the vaccine development. You will apply analytical skills and develop bioinformatics tools used for whole genome sequencing, targeted sequencing, RNA sequencing and single cell sequencing. You will analyze sequence data and provide bioinformatics and data science support to various mRNA vaccines program. Work and documentation are to be done in a compliant manner according to relevant SOP guidelines and cGLP guidelines where appropriate. You will be part of a dynamic team and should possess a strong work ethic and collaborative spirit. POSITION RESPONSIBILITIES • Develop and manage automated next generation sequencing (NGS) pipelines to support pathogen or host genome sequencing projects • Implement various open source bioinformatic pipelines and interpret analytical results to support mRNA vaccines' preclinical and clinical programs • Experience and knowledge about bulk RNAseq, single cell RNAseq, TCR profiling, and BCR profiling • Develop novel algorithms and workflow for the analysis of vast amount data spanning different data types and provides scientific insights to guide vaccine design. • Present analytical results and review of literature at group meetings as needed. Maintain laboratory notebooks in compliance with the Pfizer Laboratory Notebook Policy. • Collaborate extensively with those from other scientific disciplines from within the group, from other subdivisions of Vaccines R&D, from other divisions of Pfizer MINIMUM QUALIFICATIONS • Degree in computer science, bioinformatics, data science, computational biology or related field is required. • Bachelor's degree with 8~10 years of experience or master's degree with additional 6-8 years of related experience is preferred. This is NOT a PhD position. • Extensive experience in analyzing multi-omics next generation sequencing data (e.g., genetics, bulk RNA-seq, single-cell RNA-seq, spatial omics, proteomics, etc.) for biomedical research. • Proficient coding/scripting in Python, R. Familiar with Biopython, Tidyverse, Bioconductor, scikit-learn • Familiar with Linux environments, high-performance computing and/or cloud computing environment and broad experience with open-source bioinformatics tools to generate scientific insight. • Must be comfortable with fast-paced environment handling multiple projects simultaneously with different priorities and timelines. Strong motivation, passion and commitment to interdisciplinary science and techniques. PREFERRED QUALIFICATIONS • Familiar with various sequencing platforms: Ion Torrent, Illumina, PacBio, Nanopore, 10x genomic • Familiar with public resources: GISAID, NCBI, EMBL, UniProt, PDB • Knowledge about vaccine development and immunology Job Location: On premise with relocation support available The annual base salary for this position ranges from $74,900.00 to $124,800.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 7.5% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Research and Development

Job Title: Bioinformatics Scientist Location: Bethesda MD 20892 Duration: 3 Years to Long Term Shift: 40 Hour/Week (Mon to Fri) Teleworking Eligible: Yes Onsite: Yes This is at Federal Client Facility Overall Position Summary and Objectives • The contractor shall oversee the migration and harmonization of clinical data. • The role necessitates expertise in bioinformatics, data science, statistics, and database management to ensure the successful integration and analyses of clinical datasets. Min Education: • Master's Certifications & Licenses: • Ph.D. degree in a related discipline. • Three (3) years of specialized experience plus a Master's degree is equivalent to a Ph.D. Five (5) years of specialized experience plus a BA/BS degree is equivalent to a Ph.D. Skills: • Strong computational, bioinformatics and statistics skills with a strong clinical interest, knowledge, and background. • Ability to learn how to use new software and quickly become expert in its use, critical thinking, problem-solving abilities, and the ability to work independently. Software: • Java • C, C++ • MS Office Suite Field of Study: • Neuroscience Statement of Work Details: • Provides programming and troubleshooting support to the Federal Government in the dissemination of research data. • Provide broad-based programming and analytic support for a wide variety of bioinformatic and research projects. • Performs computations on research data analysis. • Perform computational analysis of, and interpret results. • Works with staff on scientific programming and experimental design. • Work with staff on planning of experiments, and data analysis for internal and collaborative projects; use bioinformatics expertise to advise and help bench scientists on experimental design and trouble shooting. • Records observations and report results at weekly laboratory meetings. • Maintain proper and detailed documentation of the analysis performed and report results at lab meetings. • Provides statistical support / analysis on research data. • Perform data processing and data analysis with existing computational and statistical methods.

SHIFT: Day (United States of America) Seeking Breakthrough Makers Children’s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation. At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career. CHOP’s Commitment to Diversity, Equity, and Inclusion CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children. We strongly encourage all candidates of diverse backgrounds and lived experiences to apply. A Brief Overview The Bioinformatics Scientist III position is an intermediate level position for a PhD level professional and a final stage position for those with high experience without a PhD. The focus of the position is collaboration-level application of bioinformatics tools and methods to bench and clinical research problems in various biomedical domains. The position allows for a wide variety of activities described within the job responsibilities and encompasses positions within both research and clinical environments. Activities occur with a low degree of supervision with expectation for highly independent judgment, development of bioinformatics workflows and processes, and presentation of results. The Bioinformatics Scientist III will apply best practices in collaborative science as a bioinformatics domain scientific collaborator. Academic output is a focus of this position and is expected with a low degree of supervision. The Bioinformatics Scientist III is primarily focused on taking a lead, proactive scientific role in teams and projects as a bioinformatics domain expert. The Bioinformatics Scientist III must be able to perform all responsibilities listed in the Bioinformatics Scientist II job description. All responsibilities listed in this description are additional. What you will do • Pre-Analysis (10%): Actively participate in the development of application portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provide efficient data management support. • Lead development of additional pipeline functionality and changes by providing knowledge of both collaboration-specific requirements and bioinformatics discipline advances • Coding (10%): Code and generally support code and applications on behalf of collaborative project and/or team. • Master best practices for project-based code development, QC, and execution consist with the expectations of specific collaborations • Lead peer-to-peer code reviews by participating in informal and formal critical code reviews • Data Analysis (30%): Analyze data of high complexity by applying sound statistical and commonly accepted bioinformatics methods to -omics data primarily under the direction of the collaborative project team • Lead regular peer-to-peer review of analysis plans in both informal and formal settings • Develop multiple specialty analytical areas that serve one or more collaborative teams • Lead adoption of best practices in specialty analytical or biomedical areas by the bioinformatics group and peers • Collaboration (30%): Lead bioinformatics portion of scientific collaborations as the primary bioinformatics resource • As bioinformatics point, assume management role for projects of low-to-moderate complexity, including all aspects of timelines, risk identification and mitigation strategies, and communication mechanisms • Directly manage all elements of project satisfaction and performance relative to scientific project aims • Promote continual objective, hard discussions about overall health of project and relationship • Develop new collaborations with moderate degree of supervision • Academic Output (20%): Lead project-based presentations, grant sections, and manuscript sections with subsequent review by peers and mentors • Regularly coordinate and write bioinformatics-focused manuscripts and publications • Regularly coordinate and lead podium presentations and posters • Proactively contribute to entire bioinformatics and other sections of grant and award proposals Education Qualifications • Master's Degree Required • Doctorate biological or computational discipline Preferred Experience Qualifications • At least five (5) years experience in applied bioinformatics, genomics, and computational work. This experience can be inclusive of a relevant PhD dissertation. Required Skills and Abilities • Ability to, under supervision, conceive of, plan, implement, validate, and disseminate entire research projects is required. • Ability to assume principal investigator or similar role in academic research is preferred. • Strong UNIX/LINUX expertise required. • Proficiency in R or similar commonly used bioinformatics language required • Experience with Python, Perl, or other languages required. • Experience with pipeline or workflow development frameworks preferred. • Experience with management and analysis of complex data types required. • Proficiency in various open source and commercial bioinformatics resources and software required. • Experience with genomic/proteomic data analysis methods required. • Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture required. • Knowledge of the working mechanism of microarray, NGS, mass spectrometry, or other high-throughput technologies and awareness of their strengths and weaknesses, as well as applicability to a specific biological problem is required. • Familiarity with resources of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases is required. • Ability to correctly select and perform statistical tests for most types of genomic data, and to properly interpret their results in the scenario of a specific study is required. • Ability to leverage unique knowledge of bioinformatics, applied biostatistics, molecular biology, and measurement platforms for effective scientific discussion with biologists and clinicians is required. • Ability to determine most favorable academic output as a primary research outcome is preferred. • Ability to objectively critique results and present as valid or questionable, taking into account all aspects of study design, technical issues, and limitations of workflows is required. • Accountability and attention to timelines. • Excellent organization and communication skills with an emphasis on strong presentation skills • Ability to independently plan and execute analyses of moderate complexity required • Ability to provide objective validation of results required • Ability to work in a team environment. To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more. Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed. EEO / VEVRAA Federal Contractor | Tobacco Statement

The Molecular Profiling and Data Science Department at Regeneron is seeking an enthusiastic and rigorous scientist who values independent research in an open and collaborative work environment. In this role, a typical day might include: • The candidate will operate at the interface of dry and wet-lab environments, leading software development and bioinformatic analyses to help the Regeneron Genetics Medicines department create next-generation gene therapies (gene editing, suppression, expression, and insertion). • They will contribute to cutting-edge technologies such as AAVs, si/shRNAs, LNPs, and CRISPR-Cas9 to treat and cure diseases. • The candidate will be part of a group consisting of computational scientists with backgrounds ranging from biology to physics with knowledge in genomics and machine learning. • They will work closely with the NGS team and wet-lab scientists across Regeneron to create genetic therapies for a wide range of diseases. This role might be for you if can: • Design, generate and interpret high dimensional data from key platform technologies to support the Regeneron Genetic Medicines department develop novel genetic therapy strategies. • Develop, implement and utilize pipelines in R and/or Python to carry out a range of bioinformatic analyses on large volumes of omics data. • Set priorities and ensure project completion within pre-defined timeframes. • Present results to internal stakeholders, publish in peer-reviewed journals, participate in cross-functional meetings and external activities, and contribute to patent and regulatory filings. The ideal candidate will have a combination of: • Experience with NGS, as well as experimental wet-lab molecular biology and genetic techniques, such as cloning and CRISPR. • Experience extracting biological insights from transcriptomics, genomics, and other omics datasets at the single-cell and bulk level. • Demonstrated experience with applying statistics, especially machine learning models, to answer biological questions. • Familiarity with a Linux environment, shell scripting, and high-performance computing clusters. To be considered for this opportunity, you must have the following: • A BSc + 2 years of industry experience, or an MSc in Quantitative Biology, Bioinformatics, Computational Biology, Systems Biology, or related field. • Hands-on experience developing and using bioinformatic tools to analyze omics datasets. • Ability to apply quantitative reasoning when analyzing data, with an appropriate understanding of the assumptions and models used to make inferences. • Excellent presentation and interpersonal communication skills, allowing you to engage with diverse audiences and navigate between high-level motivations and technical details. • An independent, problem-solving mindset, with the capacity to introduce novel bioinformatic pipelines and dive deep into data while balancing different internal priorities from diverse preclinical programs. Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. Salary Range (annually) $90,700.00 - $148,100.00

Strive to Bring a Profound Difference to our Patients At Avidity Biosciences, we are passionate about the impact of every employee in realizing our vision of improving people’s lives by delivering a new class of RNA therapeutics. Avidity is revolutionizing the field of RNA with its proprietary AOCs, which are designed to combine the specificity of monoclonal antibodies with the precision of oligonucleotide therapies to address targets and diseases previously unreachable with existing RNA therapies. If you are a committed, solution-oriented thinker, join us in making a difference and become part of our growing culture that is integrated, collaborative, agile and focused on the needs of patients Avidity Biosciences, Inc.'s mission is to profoundly improve people's lives by delivering a new class of RNA therapeutics - Antibody Oligonucleotide Conjugates (AOCs™). Utilizing its proprietary AOC platform, Avidity demonstrated the first-ever successful targeted delivery of RNA into muscle and is leading the field with clinical development programs for three rare muscle diseases: myotonic dystrophy type 1 (DM1), Duchenne muscular dystrophy (DMD) and facioscapulohumeral muscular dystrophy (FSHD). Avidity is broadening the reach of AOCs with its advancing and expanding pipeline, including programs in cardiology and immunology through internal discovery efforts and key partnerships. Avidity is headquartered in San Diego, CA. The Opportunity We are seeking a highly motivated bioinformatics scientist to join our group who can contribute to and help drive the expansion of our AOC platform. A successful candidate is expected to be a strong team player who will work collaboratively with cross-functional teams in both Research and Development programs to design, analyze, and interpret genomics and other multi-omics experiments. This individual should enjoy scientific discovery and collaboration in a fast-paced, interdisciplinary environment. What You Will Contribute • Support pre-clinical and clinical drug discovery activities, including siRNA library design, off-target analysis, disease model characterization, and biomarker development • Collaborate with project teams to design genomic experiments, develop analysis approaches, and independently execute bioinformatics analyses • Identify relevant internal and external data and knowledge resources and perform integrated data analyses • Document hypotheses, experimental design, analysis methods, and results in a meticulous manner • Communicate and collaborate with cross-functional teams; organize and present results concisely at regular team and cross-functional project meetings What We Seek • PhD in Bioinformatics, Computational Biology, Statistics, Biological Sciences, Genetics, Genomics, or Computer Science, with 0-3 years of pharmaceutical industry experience or MS/BS degree with 10+ years of pharmaceutical industry experience • Expertise in analyzing data from microarray, NGS, proteomics, and metabolomics • Expertise in R and/or Python, Linux, HPC, cloud computing (e.g., AWS), and version control (e.g., Github) • Knowledge of and experience with current bioinformatics trends, public genomic tools, databases, and utilities • Knowledge of text mining and data mining • Experience with open source and commercial pathway and network analysis tools • Sound knowledge of theoretical and applied statistics • Demonstrated ability to communicate with cross-functional teams, including Chemistry, Biology, Pharmacology, etc. A strong ability to understand and communicate with wet-lab scientists is highly desirable • Excellent presentation and written/verbal communication skills • Bioinformatics expertise in translational development and RNA therapeutics (e.g., siRNA library design) is highly desirable • Experience in muscle biology is a plus What We Will Provide to You • The base salary range for this role is $120,700 - $136,400. The final compensation will be commensurate with relevant experience, skillset, internal equity, and market factors. • Avidity offers competitive compensation and benefits, including the opportunity for annual and spot bonuses, stock options, RSUs, and a 401(k) with an employer match. In addition, the comprehensive wellness program includes medical, dental, vision, and LTD coverage and four weeks of time off. • A commitment to learning and development, including a variety of internal programming developed by and for Avidity employees, opportunities for job-specific training offered by industry, and an education reimbursement program.

• Job Type: Officer of Administration • Regular/Temporary: Regular • Hours Per Week: 35 • Salary Range: $65,000 - $75,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary We are seeking a dynamic and motivated individual to join our research team in exploring genetic and molecular variations within precision medicine. At the Center for Precision Medicine and Genomics (CPMG), our mission is to enhance disease prevention, diagnosis, and treatment through cutting-edge research. We are dedicated to integrating personalized medicine into clinical practice and establishing genetic medicine as a standard of care. The ideal candidate will be an integral part of a cohesive team composed of clinicians, research scientists, and genetic counselors, all working collaboratively on transformative projects. This role offers an engaging, interdisciplinary environment with opportunities to learn the fundamentals of genomics and precision medicine. Responsibilities Under the close supervision of the Bioinformatics Lead and the Director of CPMG, the Bioinformatics Analyst will: • Collaborate with faculty and a team of genome analysts to analyze and interpret sequence data. • Support research studies through bioinformatics and statistical analyses, including the implementation of computational models, database management, and the use of various statistical packages. • Contribute to the development of new platforms and solutions for large-scale integrative analysis of genomic data. • Assist in the evaluation and implementation of new pipelines and methods for analyzing next-generation sequencing (NGS) datasets. • Perform other related duties as necessary. Minimum Qualifications • Bachelor’s degree in a STEM discipline or equivalent education, training, and experience, plus two years of related experience. • Demonstrated problem-solving skills. • Ability to work effectively within a team. • Strong organizational and communication skills. • Willingness and initiative to learn and adopt novel tools, methods, and technologies in a rapidly evolving field. Preferred Qualifications • Strong programming skills (e.g., Python, Java, R) and experience in *NIX environments. • Solid understanding of genetics, bioinformatics, and statistics as applied to NGS datasets. • Experience in analyzing large NGS datasets. • Proven problem-solving abilities and strong organizational and communication skills, with a desire and capability to work effectively in a team environment. Other Requirements • Successful completion of applicable compliance and systems training requirements. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

POSITION RESPONSIBILITIES • Develop, implement and maintain existing and novel novel bioinformatic pipelines and tools to analyze large-scale epigenetic, transcriptomic and perturb-seq datasets. • Work closely with other lab members and collaborators in a highly collaborative research environment to actively contribute to the design, conception, and execution of molecular and cellular experiments to achieve the goals of the specific projects. • Designing and executing experiments, data management, data analysis, manuscript preparation, presenting research, contributing to grant proposals, and mentoring students. • Provide support and training on data pipelines, protocols, and database tools for all team member projects. • Coordinate and assist with implementation and improvement of data management and data processing protocols. • Prepare and submit manuscripts for publication in peer-reviewed journals, ensuring that the research findings are communicated effectively to the scientific community. • Engage in scientific communication by presenting research findings at conferences and workshops, contributing to the visibility and impact of the lab's work. QUALIFICATIONS Bachelor's Degree in Bioinformatics, Data Science, Computational Biology, or related field At least 1 year bioinformatics experience. Excellent communication and interpersonal skills, with a strong interest in working as part of a multidisciplinary team. Prior experience in any of the following relevant areas is highly desired: Experience with single cell RNA-sequencing.Experience in advanced genomics, bioinformatics and statistical analysis.Ability to develop and troubleshoot new methodologies.Ability to pursue exciting and fundamental biological questions.Excellent writing and communication skills.Strong publication record in peer reviewed journal. Minimum Salary Range USD $63,000.00/Yr. Maximum Salary Range USD $70,000.00/Yr. About Us The Soldner lab seeks applications for a Bioinformatics analyst to develop and apply methods to analyze epigenetics and functional genomic data sets, such as ATAC/CUT&Tag-seq, single cell transcriptomic and perturb-seq data set generated from human organoid and stem cell models. The focus of the Soldner laboratory is modeling human brain development and function in cell culture as a tool to systematically investigate the genetic, cellular, and molecular basis of complex neurological disorders such as Parkinson's and Alzheimer's disease. We employ an interdisciplinary approach, integrating functional genomics approaches in human pluripotent stem cell (hPSC) derived neuronal cells with population genetics and genome-scale epigenetic information to study neurodegenerative disorders in a genetically controlled and systematic manner. We have recently established a novel CRISPR functional genomics platform in monolayer and organoid neuronal cultures to quantitatively dissect how genetic, epigenetic, and environmental factors contribute to the development and progression of neurological diseases and to identify novel therapeutic targets.