Bioinformatics Jobs

Payroll Title: BIOINFORMATICS PROGR 1 Department: PEDIATRICS Hiring Pay Scale $69,500.00 - $96,500.00 / Year Worksite: La Jolla Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 Hour Shifts, Monday - Friday #136064 Bioinformatics Programmer 1 Filing Deadline: Tue 8/5/2025 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 7/24/2025 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 8/05/2025. Eligible Special Selection clients should contact their Disability Counselor for assistance. 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. Under the direct supervision of the PI, the incumbent will perform programming and/or assist in design and analysis of systems to decipher the role of genetic variation on human traits. Projects will focus on investigation of structurally complex regions of the genome associated with human diseases using a variety of techniques including graph-based genome representations. The incumbent will be responsible for maintaining computational pipelines for processing, analyzing, and visualizing large volumes of whole genome sequence data and analysis of large biobanks. Pipelines will consist of open source as well as custom software. The incumbent will also assist with the development and maintenance of web applications. Assists with packaging custom software as open source tools. 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. 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. Familiarity with C/C++, Python, R with the ability to work comfortably in a Linux environment. • 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. Demonstrated interpersonal, written and verbal communication skills and ability to interact effectively and tactfully with individuals and groups, both within and outside the University. • 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. • Demonstrated ability to maintain high level of confidentiality in handling files and data and clear understanding of the Universities data privacy and acceptable use policies and procedures. • Ability to assist with virtual machines and designing and creating web applications in HTML, CSS, and Javascript. • Ability to assist with HPC, including job submission and resource management. • Familiarity with Github or a related platform for code maintenance and collaboration. PREFERRED QUALIFICATIONS • Understanding of whole genome sequencing using various technologies (e.g. short and long reads) and data structures including pangenome graphs. • Demonstrated ability to work in cloud computing environments, such as Amazon Web Resources. SPECIAL CONDITIONS • Employment is subject to a criminal background check. 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. The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. 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.

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 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 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. In this role, the successful candidate is responsible for collaborating with Principal Investigators (PI) and working independently within the scientific framework of the PI's laboratory. NYU Langone Health Medical Center, 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 a highly motivated, enthusiastic individual to join the Villanueva Lab at the Perlmutter Cancer Center. The successful candidate will be responsible for genome analysis, algorithm development, and innovative cutting-edge cancer research for biomarker development in liver cancer. Job Responsibilities: • Analyze high-throughput sequencing data (e.g., RNA-seq, WGS, WES, ChiP-seq, Single-cell RNAseq and Spatial genomics). • Develop and maintain bioinformatics pipelines for data processing and analysis. • Provide analytical support to other members of the Liver Cancer Program at PCC. • Assist in the design, implementation and execution of novel algorithms in lab centered and collaborative research projects. • Integrate and visualize multi-omics datasets to support biomarker research and discovery.Integrate and visualize multi-omics datasets to support biomarker research and discovery. • Contribute to publications, grant proposals, and presentations. • Design, manage, and maintain databases to ensure data integrity, accessibility, and security. • Able to work independently. • Other duties as assigned. 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. Preferred Qualifications: Strong biostatistical foundations (regression, survival analyses, longitudinal data analysis, biomarker development and calibration. Experience with common genomics tools (bwa, samtools, bcftools, bedtools, Genomic Ranges) and file formats (bam, vcf, bigwig, bed, etc.). Experience working with clinical or health-related data. Experience working with RedCap. Familiarity with data standards such as CDISC, SDTM, or ADaM. Expertise in meta-analyses. Experience in version control (Git). Experience with bioinformatics tools and databases (e.g., BLAST, GATK, Bioconductor, Ensembl). Experience with relational databases (e.g., MySQL). 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. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal. 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 - $76,404.80 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

Senior Scientist – Computational Biology and Bioinformatics, Kellogg Lab Be at the forefront of the gene editing revolution and contribute to developing next generation therapies for children. Top-tier compensation and benefits, supportive and collaborative team environment with unique opportunities and exciting potential for career advancement. Job Description Overview As part of the Structural Biology Department at St. Jude Children’s Research Hospital, the Kellogg lab seeks a talented computational biologist who is looking to make high-impact contributions on exciting challenges at the scientific frontier of genome-editing. The Kellogg lab uses cutting edge genetics, cryo-electron microscopy, machine-learning, and protein design to develop novel transposon-based genome-editing tools. Located on the 6th floor of the new Inspiration4 Advanced Research Center (opened in 2021), the Kellogg lab leads the forefront of research in understanding the biology of CRISPR-associated transposons (Science, 2023, Molecular Cell, 2023, Science, 2023, Nature, 2023, PNAS, 2022, Science, 2021, and more) and is well supported by the NIH, Pew Biomedical Foundation, and the Cystic Fibrosis Foundation to develop novel approaches to engineer programmable transposons for clinical gene replacement therapy. The Kellogg lab is a highly interdisciplinary scientific environment, routinely working with generously supported St. Jude research core facilities: Cryo-EM Center, the Protein Technology Center, the Single-Molecule Imaging Center, the Center for Advanced Genome Editing, and the Cell & Tissue Imaging Center. The Kellogg lab is a scientifically enriching environment with regular CRISPR supergroup discussions with Dr. Shengdar Tsai. In addition, the Kellogg lab is an active member of RosettaCommons and the Rosetta community. In this position, the candidate will be exposed to multiple, cutting edge techniques spanning cryo-electron microscopy, computational protein design, machine learning, and advanced genomics in a world class research environment aimed at advancing cures for genetic disorders. About you The successful candidate will be an independent learner with strong critical thinking skills and excellent communication skills. We are looking for someone with an outstanding independent track-record and stellar academic background. The ideal candidate is passionate about research and committed to developing tomorrow’s cures for children with devastating genetic disorders. Our ideal candidate has extensive experience in one of the following (or more): bioinformatic analyses (metagenomic mining is a major plus), reconstructing evolutionary trajectories, mining transposable element databases, etc.. Scientists are expected to operate independently by leading new research directions in the Kellogg lab. The candidate will be mentored in manuscript preparation and be given opportunities for career advancement via conference attendance and oral presentation sponsorship. Responsibilities: • Develop new research directions under close mentorship of Dr. Kellogg. • Stay up to date with latest CRISPR and transposon literature, conduct regular literature reviews in collaboration with Dr. Kellogg and other Kellogg lab members. • Collaborate with other Kellogg lab members to design & clone large DNA libraries using state of the art machine learning methods • Map phylogenetic relationships of transposons and associated systems to map functional interactions. • Develop innovative sequence profile machine-learning based protein design pipelines in collaboration with Dr. Kellogg • Collaborate with Kellogg lab members to develop novel tools/assays to collectively advance lab research goals. • Mentor Kellogg lab members in executing internally developed computational analyses and pipelines. • Prepare manuscripts and present research at relevant conferences, including but not limited to: CRISPR, transposon evolution, or genome-engineering conferences. Opportunities for Professional Growth • The candidate will be given opportunities to participate in interdisciplinary scientific research and be mentored in developing leadership skills. • The candidate will be given opportunities to develop new skills in collaboration with Kellogg lab members. • The candidate will be given opportunities to attend diverse scientific conferences in the areas of computational protein design (including the Rosetta community), machine learning, genome-editing, and transposon biology. • The candidate will be given opportunities for oral presentations at local and national venues as well as opportunities to develop independent research directions. St Jude Children’s Research Hospital is consistently named as one of Fortune magazine’s “Best Companies to Work for” and top 10 “Best Places to Work in Academia” by the Scientist Magazine. St Jude is located in Memphis, Tennessee, the 28th most populous city in America. Memphis is a historic city with an affordable cost of living along with world class dining and strong cultural tradition in music and theater. Memphis enjoys a mild, sunny climate year-round and has some of the largest outdoor green spaces of any big city. St. Jude Employees receive: • Competitive compensation packages commensurate with experience. • Excellent healthcare plans with zero to low health premium costs. • Generous retirement benefits with contributions from St. Jude • Onsite health clinic, pharmacy, and exercise facilities. • Paid parental leave and adoption assistance. • Immigration Services • Tuition Reimbursement The Kellogg lab is committed to building a lab culture that is based on respect, diversity, and inclusion which contributes to a dynamic, innovative, and creative scientific environment that is fundamentally based on empathy and intellectual curiosity. The Kellogg lab is known for their rigor and fast pace, consistently aiming for ambitious goals that greatly expand the boundaries of human knowledge. The Kellogg lab is proud to be home to ambitious, curious, and fun-loving scientists of all nationalities and backgrounds. Minimum Education Ph.D. in a relevant scientific field is required. Minimum Experience • At least one first author publication from a reputable journal. • Strong candidates from a related field (evolutionary biology, ancestral sequence reconstruction, or mining metagenomic databases) are encouraged to apply. This Position May be Ideal For: • Scientists who love doing science and mentoring junior scientists but hate looking for stable sources of funding. • Scientists who love the curiosity-driven environment of academia and the resources and support that come with industry • D.s with post-degree experience looking to expand in ambitious new directions in a translationally focused environment. • Experienced Computational Biologists looking for a stimulating, collaborative, and interdisciplinary lab environment committed to creating tomorrow’s genome-editing tools. To virtually meet Dr. Kellogg, check out The Plunge, a Cryo-EM Podcast she and two colleagues hosted. Dr. Kellogg was also recently featured on Cryo-Talk to talk about her life & work. Click on website link to apply or email us to learn more! Tagged as: Data Science, Life Sciences

Paid bioinformatics annotator internships are available at MindSpec, Inc. We are currently developing additional interactive database modules for AutDB/SFARI Gene. Interns will be trained to extract data from scientific literature using controlled vocabularies. Qualifications: We are seeking talented and motivated individuals interested in working in a multi-disciplinary team. Responsibilities include participating in the annotation of disease-related information for data mining and visualization. The position offers an opportunity to work in the rapidly evolving area of multi-factorial disease biology in a flexible, dynamic research environment. Applicants must have or be pursuing an B.S. degree or higher in Bioinformatics/Molecular Biology/Neurobiology, or related field, with a strong knowledge of genetics, animal models or neuroimaging. Applicants should also have excellent written and oral communication skills; display good ability to work with others, and the ability to conduct assignments on multiple projects under tight deadlines. How to Apply: Please send cover letter and curriculum vitae to job@mindspec.org.

Job Description We are looking for a Biology Expert to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert understanding of biology- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Microbiology, Cell Biology, Genetics, Physiology, Biochemistry, Molecular Biology, Biotechnology, Environmental Science. Benefits: • This is a full-time or part-time REMOTE position • You'll be able to choose which projects you want to work on • You can work on your own schedule • Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex biology problems and evaluate their outputs • Evaluate the quality produced by AI models for correctness and performance Qualifications: • A current, in progress, or completed Masters and/or PhD is preferred but not required • Fluency in English (native or bilingual level) • Detail-oriented • Proficient in biology and inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking. Note: Payment is made via PayPal. We will never ask for any money from you.

Overview: Join the HJF Team! HJF is seeking a Bioinformatics Programmer Analyst II to analyze, design, develop, modify, test, and implement software tools and scripts to support analysis of bioinformatic data. Reviews user needs and requests and to develop bioinformatic pipelines supporting primary analysis of clinical, proteomeand genome data. Participates in the development of and ensures adherence to project schedules. Develops custom scripts and applications, test applications, create software patches, and perform routine maintenance. This position will be in support of Gynecologic Cancer-Center of Excellence (GYN-COE) located at the Women’s Health Integrated Research Center (WHIRC) in Annandale, Virginia. The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF's support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals. Responsibilities: • Analyze, design, develop, modify, test, and implement software tools and scripts to support bioinformatic analysis of multi-omic data including clinical, proteome and genome data levels. • Creates detailed test cases and document all programming and systems changes to include flowcharts, layouts, diagrams, charts, code comments, and revision dates. • Uses a variety of technologies, including scripting languages, proprietary and open source software development tools and various data management platforms to create applications, utilities and integrations to help automate research data processing and analysis. • Evaluate and configure systems and peripherals for performance and serviceability, reliability, availability, and performs operational requirement studies within a system environment context. Recommends enhancements or changes to the system configuration to maintain optimum system performance and utility. • Arranges project requirements in programming sequence by analyzing requirements; prepares a workflow chart and diagram using knowledge of computer capabilities, subject matter, programming language, and logic. • Works with senior scientists, data analysts and Information Technology (IT) personnel to determine and design the best technical solutions. • May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role. Qualifications: Education and Experience • Bachelor's Degree in Computer Science, Computational Biology, Bioinformatics, or related field. • Minimum of 3-5 years experience required Required Knowledge, Skills and Abilities • Working knowledge of bioinformatics tools and software including R, MATLAB, Perl and Python. Experience with R Shiny desired, but not required. • Demonstrated expertise in bioinformatic data analysis that ideally includes co-authored scientific publications and conference abstracts. • Experience with one or more web client technologies, e.g. JSP, HTML, CSS, JavaScript, AJAX, jQuery, and ExtJS. • Experience with relational database application development and Structured Query Language (SQL, MySQL, etc.) skills. • Strong analytical and problem-solving skills and the desire to learn new technologies. • Strong Java object-oriented design and coding skills with Java-based server technologies. • Excellent communications skills and the ability to work effectively in the scientific research domain. Physical Capabilities • Ability to stand or sit at a computer for prolonged periods. Work Environment • This position will take place primarily in an office setting. Compensation • The annual salary range for this position is $64,200-$80,000. Actual salary will be determined based on experience, education, etc. Benefits • HJF offers a comprehensive suite of benefits focused on your health and well-being, from medical, dental, and vision coverage to health savings and retirement plans, and more. Employment with HJF is contingent upon successful completion of a background check, which may include, but is not limited to, contacting your professional references, verification of previous employment, education and credentials, a criminal background check, and a department of motor vehicle (DMV) check if applicable. Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c) Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. The University of Miami/UHealth Department of SCCC has an exciting opportunity for a Full Time Bioinformatics Analyst (Cheminformatics) to work the UHealth Medical Campus in Miami, FL 33146. CORE JOB SUMMARY The Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Bioinformatics Analyst maintains and performs analysis with existing pipelines while assisting and benchmarking the development of novel methods. CORE JOB FUNCTIONS ● Runs and maintains existing next generation data analysis pipelines. ● Assists senior bioinformatics analysts in pipeline and algorithm development and validation. ● Extracts features of interest from data relating to specific biological questions. ● Contributes to the maintenance of genomic and clinical databases. ● Performs statistical and integrative data analysis on genomics and clinical data. ● Works along-side other team members and data analysts. ● Follows standard operating procedures, documentation, and scripts to generate reports. ● Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: PhD degree in relevant field Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: ● Skill in collecting, organizing, and analyzing data. ● Ability to recognize, analyze, and solve a variety of problems. ● Ability to exercise sound judgment in making critical decisions. ● Ability to process and handle confidential information with discretion. ● Proficiency in computer software. Department Specific Functions & Qualifications The Sylvester Comprehensive Cancer Center & the Department of Molecular and Cellular Pharmacology are actively seeking a full-time Bioinformatics / Cheminformatics Analyst to work on the UHealth campus in Downtown Miami. At Sylvester, we are at the cutting edge of healthcare innovation, leveraging artificial intelligence and machine learning to transform drug discovery and development. Our mission is to accelerate the delivery of therapeutic solutions to patients through state-of-the-art technology and groundbreaking research. The Analyst will leverage expertise in computational chemistry, bioinformatics, and AI to process and analyze large-scale biomedical, small molecule bioactivity, structural biology, image, and clinicogenomic datasets, integrating them with the Sylvester Data Portal. The successful candidate will work within an interdisciplinary team of research scientists, data engineers, and full-stack developers, using state-of-the-art software development practices to enhance the university’s research activities. Primary Responsibilities: ● Process and analyze large-scale multi-omics and drug discovery datasets (WES, WGS, bulk/single-cell RNA-Seq, ATAC-Seq, Drug Screening, CRISPR Screening). ● Develop and maintain production-grade pipelines for processing and analysis of diverse biomedical datasets. ● Develop visualization and bioinformatic analysis tools for exploring diverse biomedical data. ● Integrate developed tools and pipelines with Sylvester’s internal end-user data analytics platform. ● Apply state-of-the-art AI, bioinformatics, and biostatistics approaches to cancer precision medicine. ● Write standard operating procedures and other relevant documentation. ● Develop and apply AI/ML models for structure-based and ligand-based drug design. ● Utilize computational tools to predict and optimize pharmacokinetic (PK) and pharmacodynamic (PD) properties of drug candidates. ● Design and implement algorithms to identify novel drug candidates and elucidate their mechanisms of action. ● Integrate and analyze large-scale biological, chemical, and clinical datasets to extract insights and inform drug discovery decisions. ● Collaborate with cross-functional teams to advance drug discovery projects. ● Analyze and interpret PK/PD data using advanced statistical and modeling software. ● Stay updated with advancements in computational chemistry, AI, and bioinformatics. ● Contribute to the development of new computational tools and methodologies. ● Present findings to both technical and non-technical stakeholders. ● Participate in scientific discussions and strategy meetings, providing AI/ML expertise. ● Author scientific papers, reports, and patents related to AI/ML in drug discovery. Preferred Requirements ● PhD or MSc degree in computational chemistry, computational biology, medicinal chemistry, pharmaceutical sciences, computational sciences, or a related field. ● Fluency in R or Python and Unix (bash). ● Experience with analyzing and interpreting different omics and/or drug discovery datasets (WES, WGS, bulk/single-cell RNA-Seq, ATAC-Seq, Drug Screening, CRISPR Screening). ● Experience with using common open-source bioinformatics/NGS workflows (BWA, STAR, Picard, GATK, etc.). ● Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), and developing and deploying machine learning models. ● Highly motivated, strong work ethic, and able to work independently and with a team. ● Excellent skills in communication, organization, and time management. Preferred Qualifications ● For Ph.D. holders: 0-3 years of relevant experience in computational chemistry, AI, and drug discovery. ● Deep expertise with chemical toolkits such as DeepChem, ChemAxon, OEChem, or RDKit. ● Familiarity with drug discovery databases (CTRP, GDSC, PRISM, CCLE, DepMap, LINCS) and publicly available clinicogenomic datasets (CPTAC, TCGA, AACR Project GENIE, etc.). ● Experience with Cloud Computing Environments (e.g., Azure). ● Familiarity with relational (e.g., PostgreSQL) and/or NoSQL databases (e.g., MongoDB). ● Familiarity with container technologies (e.g., Docker). ● Experience with Generative AI tools and techniques. ● Familiarity with High Performance Computing. ● Familiarity with version control (Git). #LI-YC1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A9 The mission of the University of Miami is to transform lives through education, research, innovation, and service. A vibrant and diverse academic and healthcare community, the University of Miami and the University of Miami Health System ("UHealth") have rapidly progressed to become one of the nation’s top research universities and academic medical centers in the nation. The University comprises 12 schools and colleges serving undergraduate and graduate students in more than 350 majors and programs. Visit welcome.miami.edu/about-um to learn more about our points of pride. The University ranks No. 55 on U.S. News & World Report’s 2022 Best Colleges list and ranked No. 49 in the 2022 Wall Street Journal/Times Higher Education College Rankings. Bascom Palmer Eye Institute is ranked the #1 eye hospital in the USA and offers some of the nation's premiere eye doctors to treat every eye condition for adults. Sylvester Comprehensive Cancer, part of the Miller School of Medicine, received the prestigious National Cancer Institute designation in 2019. The University of Miami and UHealth have also ranked among the Forbes Best Employers and Best Employers for Women on several occasions, most recently in 2022. Transforming lives With more than 17,000 faculty and staff, the University strives for excellence, and is driven by a powerful mission to transform and impact the lives of its students, patients, members of the community, and people across the globe. The University is committed to fostering a culture of belonging, where everyone feels valued and has the opportunity to add value. Through values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity, and Teamwork (DIRECCT) the U community works together to create an environment driven by purpose, excellence, community, and service.

Job Advert: Lead Bioinformatics Scientist Job Title: Lead Bioinformatics Scientist Job Type: Permanent Salary: $180,000–$200,000 USD per year + bonus Role Location: San Francisco, CA (hybrid role) Visa Requirements: No sponsorship provided. The Company: Our client is an emerging leader within biotechnology, headquartered in the vibrant tech hub of San Francisco, California. Their mission is to empower scientists worldwide by accelerating biotech research through innovative DNA sequencing and analysis tools. Every day, thousands of innovators—including Nobel Prize winners, biotech startups, and research labs—rely on their solutions to drive world-changing discoveries in healthcare, sustainability, and beyond. In 2024, they saved researchers 2 million hours, transforming their productivity. Join their dynamic, collaborative team to shape the future of science. Role and Responsibilities: As the Lead Bioinformatics Scientist, you’ll lead the charge in building cutting-edge bioinformatics workflows that power faster, smarter science. Collaborating with a passionate team of scientists, bioinformaticians, and software engineers, you’ll drive innovation and mentor others in a creative, high-impact environment. Your key responsibilities include: • Designing and optimizing high-performance bioinformatics pipelines for processing thousands of daily samples, leveraging tools like Snakemake and cloud deployments. • Innovating sequence analysis workflows for bulk/single-cell RNAseq, differential gene expression, and large-scale genomics, ensuring robust and scalable solutions. • Troubleshooting complex sequencing data challenges, from biological artifacts to platform-specific issues, to ensure reliable outputs. • Developing intuitive web tools (e.g., Streamlit, R Shiny) and data visualizations to transform raw bioinformatics data into actionable insights. • Providing thought leadership and mentoring junior team members, fostering a culture of innovation and collaboration. • Staying ahead of industry trends, integrating emerging bioinformatics tools to enhance our offerings for biopharma and research clients. Job Requirements: • Education and Experience: PhD in Biological Sciences, Bioinformatics, Computational Biology, or related field, with 8+ years of experience developing production-level bioinformatics pipelines. • Required Qualifications: • Deep expertise in analyzing bulk/single-cell RNAseq data and performing differential gene expression using state-of-the-art tools. • Significant experience building production-level Snakemake (or Nextflow) pipelines, with local and cloud-based deployments. • Strong knowledge of sequence analysis (alignment, assembly) and molecular biology, with experience in Oxford Nanopore and Illumina sequencing. • Proficiency in Python (numpy, pandas, Jupyter, Biopython) and package management (e.g., Conda). • Hands-on experience with Docker, Apptainer, or Singularity for containerized workflows. • Expertise in Git/GitHub and Linux shell scripting for version control and automation. • Proficiency in developing intuitive web tools for bioinformatics reporting (e.g., R Shiny, Streamlit). • Familiarity with public genomic data repositories (e.g., NCBI, Ensembl) and large-scale genomic data processing. • Strong communication skills and ability to write clean, maintainable, production-ready code. • Preferred Qualifications: • Experience with compiled languages (C++, Rust) for performant software development. • 1+ year of molecular biology wet lab experience. • Demonstrated ability to develop novel bioinformatics algorithms. • Strong interest in creating intuitive data visualizations for scientific insights. Benefits: • Competitive Compensation: Highly competitive remuneration. • Generous Time Off: 4 weeks paid time off + 10 paid holidays. • Comprehensive Health Coverage: Health, dental, and vision insurance, plus life insurance and mental health coverage. • Retirement and Wellness: 401(k) with matching, Health Advocate services, and gym membership. • Impactful Work: Contribute directly to accelerating biotech research, supporting novel therapies and sustainability. • Innovative Environment: Work with cutting-edge tools (e.g., Snakemake, Streamlit, AWS) and collaborate with top-tier researchers. • Supportive Culture: Join a passionate, inclusive team that values creativity, mentorship, and professional growth. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Our mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here

TRUE JOB TITLE: Scientific Application Specialist, Digital & AI LOCATION: 300 North Beacon, Suite 501 Watertown, MA SCHEDULE: Onsite 5 days, M-F DURATION: 6 months TOP SKILLS per MANAGER: 1. Experience in Laboratory Informatics 2. Experience in Data Analysis and Management 3. Technical knowledge of Digital Solutions TRUE JOB TITLE: Scientific Application Specialist Digital & AI Computational Biologist who has robust experience in Lab IT and scientific enterprise applications, with a capability to articulate project management concepts and IT terminologies clearly. Proficiency in processing biological numerical data, in addition to any bibliographic analysis work focused on LLMs, will be essential for success in this role. Expertise in data analysis and high-performance computing (HPC) application development, particularly in next-generation sequencing (NGS), which could be beneficial for analyzing population data. • Familiarity with bioinformatics workflows like mRNA, and has worked in both research and GMP contexts, illustrating distinct approaches to data capture in electronic lab notebooks (ELN). • Gathering requirements from scientists before tool development, has experience in creating large language models (LLMs) and end-to-end pipelines. ESSENTIAL FUNCTIONS 1. Develop and Implement Digital Innovation Solutions - Collaborate with researchers, laboratory staff, and the Digital Science team to understand their informatics needs and challenges - Identify, evaluate, and implement laboratory informatics solutions to access and visualize human data including public and proprietary data 2. Streamline Data Management: - Work on projects that enhance data accessibility, integrity, and usability while maintaining FAIR principles. - Ensure that data management practices are efficient and aligned with the latest digital technologies. 3. Collaborate with Digital & AI Team: - Partner with the Digital & AI team to identify and deploy new digital solutions. - Ensure that these solutions are effectively integrated into the research workflows for biology and pharmacology studies. 4. Training and Support: - Train scientists on the available digital solutions and provide ongoing support to ensure they are effectively utilized. - Develop training materials and conduct workshops as needed. 5. Propose New Solutions: - Continuously evaluate the current digital tools and propose new solutions that can further enhance the research capabilities of the team. - Stay updated with the latest advancements in digital technologies and their applications in scientific research. 6. Project Management: - Manage digital solution projects from conception to deployment, ensuring timely delivery and alignment with research goals. QUALIFICATIONS: Bachelor's Degree in in Bioinformatics, Computational Biology, or a related field from an accredited university OR Master’s degree in bioinformatics, Computational Biology, or a related field from an accredited university General qualifications: • Proven experience in Laboratory Informatics, preferably in a pharmaceutical research setting. • Proficiency in programming languages such as Python, R, or Java. • Experience with database management systems and data analysis tools as well as laboratory information management systems (LIMS). • Technical knowledge to configure / administer / maintain (vendor or home-built) digital solutions. • Knowledge of regulatory requirements and data privacy standards in research. • Excellent communication and interpersonal skills. • Ability to work independently and as part of a multidisciplinary team. • Strong problem-solving skills and attention to detail

SHIFT: Day (United States of America) Bioinformatics Engineer I – Children’s Hospital of Philadelphia (Philadelphia, PA): Support computational environments focused on the management, transfer, formatting, and processing of complex data types associated with genomics and proteomics. Support the bioinformatics analytical groups and assist in the implementation of basic systems for data manipulation and analysis pipelines, applications, and bioinformatics-specific hardware configurations. Collaborate with bioinformatics group members to develop functioning pipelines upstream of customized analysis workflow, maintain data pipelines, and execute development testing for commonly used applications. Partner with cross-functional teams to gather requirements, plan, and execute the development of platforms that support healthcare research. Develop infrastructure automation for efficient resource management across multiple environments using Terragrunt and Terraform. Deploy and maintain scalable Kubernetes-based applications, ensuring secure and high-performance applications in production, and facilitating large-scale data analysis and research. Assist with building and maintaining secure cloud environments for the Arcus research platforms, ensuring robust data privacy and compliance with healthcare regulations. Requires a Bachelor’s degree in Bioinformatics or a related field and 1 year of experience working with bioinformatics data, Cloud infrastructure, and containerization, including developing bioinformatics pipelines in a Cloud environment and building ETL pipelines to transfer NGS/bioinformatics data, using Infrastructure as Code (IaC) to manage IT infrastructure, and Docker for containerization, as well as LINUX, R and Python. Telecommuters considered. Travel (<5%) for quarterly meetings. Send resumes to: oivs@chop.edu. #LI-DNI At CHOP, we are committed to fair and transparent pay practices. Factors such as skills and experience could result in an offer above the salary range noted in this job posting. Click here for more information regarding CHOP's Compensation and Benefits.