Bioinformatics Jobs

Position Description The Medical University of South Carolina (MUSC) Hollings Cancer Center (HCC), the Department of Public Health Sciences (DPHS), and the MUSC AI Center for Health Innovation and Informatics seek a nationally recognized and dynamic leader to serve as the founding Co-Director of Cancer Bioinformatics in the HCC Data Science Shared Resource (DSSR). The ideal candidate will have a robust track record of impactful cancer bioinformatics scholarship and experience managing a bioinformatics team in a collaborative biomedical research environment. The Co-Director will partner with university and cancer center stakeholders to develop and implement a strategic vision to build an integrative bioinformatics resource that supports the current and rapidly evolving bioinformatics needs of cancer center basic, translational, clinical and population science researchers. Reporting to both the Cancer Center Director and the DPHS Chair, the successful candidate will co-lead the DSSR with the Cancer Biostatistics Co-Director and develop a high-performing team of collaborative cancer bioinformaticians from within the MUSC science community and through external faculty recruitments focused on research aligned with cancer center priorities. The Co-Director will be appointed in DPHS at the rank of Associate or Full Professor in the tenure track. Primary Duties and Responsibilities • Build and lead a cancer bioinformatics shared resource, including strategic planning, staffing, and budget management. • Enable science through expert support in genetics, genomics, transcriptomics (bulk/single-cell), spatial omics, proteomics, imaging, and multi-omics integration; develop robust, reproducible pipelines, data governance, and QA/QC. • Partner widely with basic, translational, clinical and population science cancer center investigators to co-develop projects, methods, and federally funded grants. • Advance usage of institutional infrastructure for HPC/cloud, FAIR data management, EHR/clinical data integration, and secure computing compliant with HIPAA/IRB. • Educate and upskill via workshops, consultations, and mentorship; foster an inclusive, collaborative environment that develops talent. • Co-lead programmatic strategy with the DSSR Co-Director of Cancer Biostatistics and the Cancer Center leadership team. • Serve as the liaison between Cancer Bioinformatics and the Biomedical Informatics I3 Common Core. • Lead collaborative opportunities between HCC and the MUSC AI Center for Health Innovation and Informatics. Minimum Qualifications Ph.D./Sc.D. in bioinformatics, biostatistics, statistics, mathematics or other quantitative discipline. About MUSC Founded in 1824, the Medical University of South Carolina continues the tradition of excellence in education, research, and patient care. MUSC educates and trains more than 3,000 students and 1,000 residents in six colleges and has more than 34,000 employees, including approximately 1,500 faculty members. As the state’s only academic health science center and largest non-federal employer in Charleston, the university and its affiliates have collective annual budgets of over $8.9 billion, with annual research funding of over $349 million. MUSC operates a 700-bed medical center, which includes a nationally recognized children’s hospital, the NCI-designated Hollings Cancer Center, a Level I trauma center, the Institute of Psychiatry, more than 100 outreach locations across the state, and South Carolina’s only transplant center. About Hollings Cancer Center Hollings Cancer Center at the Medical University of South Carolina is the only National Cancer Institute (NCI)-designated Cancer Center in South Carolina, serving 5.2M residents. HCC is part of an elite network of 73 NCI-designated cancer centers across the country and is recognized for its dedication to delivering cutting-edge treatments to patients and conducting innovative research to serve the unique needs of South Carolina. HCC is also part of the National Cancer Institute Community Oncology Research Program (NCORP), a national network with the common goal of bringing cancer clinical trials to patients in their own communities and improving access to quality care for everyone. Living in Charleston Historic Charleston is a beautiful city in coastal South Carolina, consistently rated as a top city in the United States, with easy access to fine dining, museums, and beaches. This charming coastal city offers residents a unique mix of history, culture, arts, innovation, and natural beauty. In Charleston, you can explore miles of pristine beaches and waterways in the morning, and wind your way along shaded cobblestone streets, exploring centuries-old historic homes in the afternoon. At night, visit one of Charleston’s many award-winning restaurants to enjoy traditional Lowcountry cuisine prepared by world-class chefs. Charleston is a place where you can live your life to its fullest. About the Department of Public Health Sciences DPHS is home to a talented faculty with appointments in a range of public health specialties including Biostatistics and Bioinformatics, Biomedical Informatics and Data Science, Epidemiology, Social and Behavioral Sciences, and Health Services Research. The department has two successful and long-standing masters and doctoral degree programs in Biostatistics and Epidemiology, a new joint Ph.D./MS program with Clemson University in Biomedical Data Science and Informatics, and offers MPH degrees in Biostatistics, Epidemiology, and Health Behavior and Health Promotion. The NIH research portfolio of DPHS is over $21 million in grants spanning a broad range of public health research. About the MUSC AI Center for Health Innovation and Informatics The MUSC AI Center for Health Innovation and Informatics is an enterprise-wide center dedicated to advancing responsible, impactful artificial intelligence across research, clinical care, education, and administrative operations. The Center brings together leaders from medicine, informatics, data science, engineering, ethics, and policy to accelerate the translation of AI innovations into real-world impact while ensuring safety, equity, and trust. Serving as the coordinating hub for MUSC’s AI strategy, the Center supports interdisciplinary research, workforce development, and operational transformation, positioning MUSC as a national leader in the thoughtful adoption of artificial intelligence to improve health outcomes for the patients and communities MUSC serves. How to Apply Interested applicants should submit their application on the MUSC website. Applications will include a curriculum vitae and a research statement describing past accomplishments and professional vision. Contact Information George Powell, Executive Assistant MUSC AI Center for Health Innovation and Informatics Medical University of South Carolina powellge@musc.edu External Applicants: https://musc.wd1.myworkdayjobs...

Dr. Benedict Anchang of the Computational and Systems Biology Research Group, Biostatistics & Computational Biology Branch (BCBB), at the National Institute of Environmental Health Sciences in Research Triangle Park, North Carolina is seeking a Postdoctoral Fellow specializing in bioinformatics and computational systems biology. About the position Our research group develops multi-scale computational and statistical frameworks for modeling, visualizing, and integrating dynamic perturbation and environmental exposure effects in complex biological systems. Our ongoing research spans cancer biology, immune responses, drug interactions, environmental health, and reproductive biology, with the overarching goal of advancing personalized and precision medicine. We maintain strong collaborations with both national and international partners. Successful candidates will develop and apply advanced computational models, including AI/ML methods that integrate multi-omics data, including genomic, transcriptomic, epigenomic, proteomic, and microenvironmental measurements, to identify mechanistic insights, predict disease progression, and anticipate treatment response. A major focus of our program is maternal-fetal health by way of leveraging human placenta studies to understand how environmental and genetic factors influence genomic regulation, immune dynamics, and disease susceptibility during pregnancy. Our projects involve the integration of genomic ancestry, high-resolution single-cell, and spatial sequencing data to characterize maternal-fetal communication and improve patient-specific predictive modeling. More information about our group can be found here: https://www.niehs.nih.gov/research/atniehs/labs/bcb/staff/anchang What you'll need to apply Interested candidates should submit their current curriculum vitae, a detailed statement of their research interests, and the names and contact information for three references to the email below. Contact name Dr. Anchang Benedict Contact email benedict.anchang@nih.gov Qualifications Prospective candidates should have completed, or be close to completing, a Ph.D. in biostatistics, statistics, bioinformatics, computational biology, computer science, genetics, molecular biology, or a closely related quantitative life science field. Required qualifications include: Strong programming skills and experience working with large-scale biological datasets Proficiency in one or more of the following: R, Python, MATLAB, Linux/Unix, Shell scripting, and/or Java Solid background in computational analysis of population genomics and next-generation sequencing data, including Genome-Wide Association Studies (GWAS). Excellent written and verbal communication skills in English Preferred qualifications include: Experience with single-cell and/or spatial omics analysis, especially in the reproductive and/or endocrine systems Familiarity with multi-omics data integration and statistical modeling Experience working in high-performance computing environments

Job Family: Scientist Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do: We are searching for a Bioinformatics Scientist to provide support services to satisfy the overall objectives of the National Institute of Aging. This is a full-time opportunity located in Baltimore, MD. Provide programming, data processing, and troubleshooting support for human population-based studies involving omics, clinical, phenotype, and wearable/sensor data. Perform computational analyses using established bioinformatics and statistical methods for multi-omics and wearable datasets and integrate them into epidemiological research. Process raw data, including quality control, alignment, quantification, normalization, and generation of analysis-ready datasets. Provide large-scale genome-wide DNA and protein sequence analysis. Assist with development and maintenance of Oracle database for genomics and proteomics projects in the Translational Gerontology Branch (TGB). What You Will Need: Master’s Degree A minimum of ONE (1) year of experience working in bioinformatics, biomedical or clinical research, or related science field. Strong communication skills, both oral and written. Proficient in Microsoft Office Suite. Must be able to obtain and maintain a Federal or DoD "public trust"; candidates must obtain approved adjudication of their public trust prior to onboarding with Guidehouse. Candidates with an active public trust or suitability are preferred What Would Be Nice To Have: Previous experience working with NIH preferred. The annual salary range for this position is $65,000.00-$108,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Parental Leave 401(k) Retirement Plan Group Term Life and Travel Assistance Voluntary Life and AD&D Insurance Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts Transit and Parking Commuter Benefits Short-Term & Long-Term Disability Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities Employee Referral Program Corporate Sponsored Events & Community Outreach Care.com annual membership Employee Assistance Program Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.) Position may be eligible for a discretionary variable incentive bonus About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee. Guidehouse is a global AI-led professional services firm delivering advisory, technology, and managed services to the commercial and government sectors. With an integrated business technology approach, Guidehouse drives efficiency and resilience in the healthcare, financial services, energy, infrastructure, and national security markets. Built to help clients across industries outwit complexity, the firm brings together approximately 18,000 professionals to achieve lasting impact and shape a meaningful future. guidehouse.com

About Us We are building the gold-standard data layer that AI drug discovery platforms will run on. Partnered with leading AI labs, global tech companies, and top pharma, we're a fast-growing Palo Alto-based team on a mission to accelerate drug discovery through AI. The Role You don't need an AI background — you need deep scientific expertise. In this role, you'll use your research experience in bioinformatics to help fine-tune large language models (like ChatGPT) built for drug discovery. What You'll Do - Perform bioinformatics analysis and provide drug development expertise for assigned work. Provide expert scientific feedback to AI researchers from leading labs, helping shape how AI models interpret drug discovery workflows in bioinformatics and computational biology contexts. What We're Looking For - PhD in Bioinformatics, Computational Biology, Systems Biology, or a related life sciences or physical sciences field (postdocs, biopharma scientists, and industry researchers welcome) 3+ years of bioinformatics research experience Offer Details - Commitment: 15–30 hours/week (with overlap in PST)Compensation: Highly competitive, top 10% of industry ratesEngagement: Contractor/freelancer (no medical or paid leave)Duration: 1 month, with possible extensionRemote: Fully remote, collaborative environment

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Location: San Francisco, CA | Indianapolis, IN | Boston, MA | San Diego, CA | New York, NY About the Role We are seeking a Bioinformatics Platform Engineer to join our Bioinformatics and Cloud Platform team. This is a highly hands-on role focused on operating, improving, and scaling the scientific computing infrastructure that powers production bioinformatics workflows. You will work at the intersection of bioinformatics, cloud infrastructure, and platform engineering, helping scientists run complex next-generation sequencing (NGS) workflows reliably and at scale in AWS. You will ramp up on our platform while actively contributing to its operation and improvement. As you gain familiarity, you will take on increasingly complex challenges — including solution architecting to support new bioinformatics workflows and enhancing platform capabilities. This role spans multiple layers of the platform, from infrastructure to bioinformatics workflows, and is well-suited for engineers who enjoy working across system boundaries. You’ll collaborate closely with scientists and engineers, contributing wherever needed to keep the platform running smoothly and evolving. Over time, you will develop deep expertise in the platform, take ownership of key infrastructure components, and help shape the long-term architecture of our scientific computing environment. What You’ll Do Operate and improve our cloud platform that runs production NGS and bioinformatics workflows Support and troubleshoot scientific workflow pipelines (Nextflow preferred) Operate and debug Linux-based production environments Investigate and resolve complex issues across the entire platform stack, including workflow orchestration, cloud compute and storage, networking and security, IAM, and application services Partner with scientists to translate workflow needs into scalable, secure platform solutions Contribute to infrastructure automation and platform reliability improvements Integrate and operate multiple research and enterprise platforms Apply cloud security and operational best practices Participate in technical roadmap discussions and platform architecture decisions Required Qualifications MS in Science, Engineering, Bioinformatics, Computational Biology, or related field 3 years of experience working in pharma, biotech, or life sciences Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1. Preferred Qualifications Hands-on experience working with NGS and bioinformatics workflows languages (Nextflow, Snakemake) Strong Linux systems expertise Strong AWS experience, including IAM, EC2, S3, networking fundamentals Experience integrating systems across cloud and enterprise environments Demonstrated ability to debug complex systems spanning multiple technologies Ability to work independently and take ownership of problems Demonstrated ability to learn new technologies quickly and work across unfamiliar systems Experience with orchestrating and scaling scientific or data workflows in cloud or on-prem environments Experience with infrastructure as code or automation tools to manage compute, storage, and networking resources Familiarity with data engineering, distributed compute, or high-throughput analysis platforms Experience supporting collaborative data science or research environments Exposure to CI/CD pipelines and modern DevOps practices (Jenkins, GitHub Actions) Experience developing or implementing testing frameworks for pipelines, workflows, or infrastructure Experience integrating with enterprise platforms, internal tools, or regulated systems Comfortable learning new tools and platforms quickly, adapting to changing environments, and working across multiple technologies What Success Looks Like Within the first year you will: Gain a deep understanding of our scientific computing environment Become a trusted technical partner to scientists and engineers Independently support and troubleshoot production bioinformatics workflows Take ownership of key platform components Contribute meaningfully to architecture discussions and long-term platform direction Cultural Fit We value engineers who are: Collaborative and easy to work with Comfortable navigating technical disagreement constructively Calm under pressure and solutions-oriented Comfortable working across disciplines and stepping in wherever the team needs help Self-driven and accountable Invested in team success and shared learning Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $66,000 - $193,600 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

Our client is a leader in healthcare innovation, seamlessly integrating pharmaceutical development, diagnostic solutions, and advanced technology and data capabilities. Title: Machine Learning Engineer (Contract) Pay rate: $55-73/hr+ (Depends on experience) Location: Remote in the US or Canada, or onsite in SSF. Must be available during PST hours. Duration: Through Sept 30, 2026 (Likely to get extended) Overview Seeking a Machine Learning Bioinformatics Engineer to develop and deploy advanced ML solutions supporting pharmaceutical R&D. This role focuses on analyzing large-scale, multimodal clinicogenomic datasets (genomic, transcriptomic, clinical, and real-world data) to drive insights into disease biology, patient stratification, and treatment response. Ideal candidates are strong in both machine learning and bioinformatics, with a passion for translating complex data into impactful discoveries. Key Responsibilities Build and deploy scalable, production-ready machine learning models Process and analyze genomic and transcriptomic data using bioinformatics pipelines Prepare high-quality, normalized biological datasets for downstream analysis Train large-scale models using frameworks like PyTorch Lightning and Hugging Face Develop cloud-based ML solutions (AWS/GCP) with a focus on scalability and reproducibility Collaborate with cross-functional teams to uncover biomarkers and therapeutic targets Provide technical input and guidance on ML system design and implementation Qualifications PhD with 0-2 years of relevant work experience, or MS with 3-5 years of relevant work experience, or BS with 4-7 years of relevant work experience.Proficient programming skills: Strong Python programming skills with extensive experience in ML and data libraries (e.g., NumPy, pandas, PyTorch). Deep ML expertise: Excellent knowledge of modern machine learning methods and development best practices, including training strategies, model validation, performance visualization, and experimental design. Deep bioinformatic expertise: Proficient knowledge of bioinformatic processing pipelines for genomic and transcriptomic variables. Strong knowledge of computational oncology, cancer genomics and analysis of clinicogenomics datasets. Must be authorized to work in the United States INDBH

Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join Harvard Medical School? Harvard Medical School's mission is to nurture a diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership. You’ll be at the heart of biomedical discovery, education, and innovation, working alongside world-renowned faculty and a community dedicated to improving human health. This is more than a job - it’s an opportunity to shape the future of medicine. Job Description Job Summary: Participate in the design of software that supports and enriches research productivity and reliability; implement software solutions. Develop software and data services with researchers to ensure that modern standards of reproducible code are kept. Job-Specific Responsibilities: We are looking for a highly skilled Bioinformatics Software Engineer who specializes in designing, developing, deploying, and maintaining scalable bioinformatics pipelines on cloud-based infrastructure. The candidate will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT Data Analysis Center that manages multi-omic data (e.g., Illumina/PacBio/ONT Whole Genome Sequencing (WGS), RNA-Seq). The ideal candidate will have a deep understanding of next-generation sequencing (NGS) data analysis, workflow automation, cloud computing, and cloud software engineering best practices. This role will support research and production environments where reproducibility, scalability, and performance are critical. Job Description: Design, implement, and maintain bioinformatics pipelines for high-throughput sequencing data (e.g., alignment, QC, variant calling from WGS and RNA-seq) similar to those in existing repositories: https://github.com/smaht-dac/main-pipelines.Build reproducible, well-tested, and automated workflows using workflow management systems (particularly CWL).Architect and manage AWS-based compute infrastructure to support pipeline execution, including automated deployment, scaling, and monitoring.Containerize workflows using Docker or similar tools for managed execution and portability.Integrate CI/CD tooling to automate testing, deployment, and version control to ensure data integrity and correct execution of the pipeline.Develop utility tools for metadata management, file integrity checks or conversion (e.g., VCF, BAM to CRAM), and integration with the SMaHT Data Portal.Collaborate cross-functionally with research scientists, engineers, and IT teams to refine requirements and deliver high-quality solutions.Document code, workflows, and infrastructure configurations clearly. Qualifications Basic Qualifications: Minimum of five years’ post-secondary education or relevant work experience. Additional Qualifications and Skills: PhD in computational biology/bioinformatics/statistics/CS or another quantitative field is strongly preferred.Superb programming skills, especially in Python and shell scripting, and communication skills are strongly preferred.Extensive experience with analysis of high-throughput sequencing data and knowledge of bioinformatics tools for sequence alignment, variant calling, sequence data QC, etc. Proficiency in Docker for creating a reproducible execution environment and Workflow Description Language for orchestrating complex tasks.Strong understanding of AWS services (EC2, S3) or similar cloud platforms for compute and storage.Version Control & CI/CD: Git, automated testing, deployment workflows.Experience with Linux systems, HPC, and distributed computing environments.Knowledge of optimizing pipelines for large-scale genomic projects. Additional Information Appointment End Date: This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance and continued funding to support the position. Standard Hours/Schedule: 35 hours per weekVisa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position.Pre-Employment Screening: IdentityOther Information: Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.Staying Informed About Your Application: Due to the high volume of applications, we may not always be able to reach out right away, but you can track your status anytime through the Careers@Harvard portal.#LI-DK1 Work Format Details This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment. Salary Grade and Ranges This position is salary grade level 057. Please visit  Harvard's Salary Ranges  to view the corresponding salary range and related information. Benefits Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to: Generous paid time off including parental leave Medical, dental, and vision health insurance coverage starting on day one Retirement plans with university contributions Wellbeing and mental health resources Support for families and caregivers Professional development opportunities including tuition assistance and reimbursement Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our Benefits & Wellbeing Page. EEO/Non-Discrimination Commitment Statement Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

The Molecular Profiling and Data Science Department is looking for an enthusiastic and motivated Computational Scientist who values independent research in an open and collaborative working environment. You will participate in original studies that span from basic research to translational studies, directly impacting the lives of patients. You will join a diverse and inspiring team which leverages bioinformatic strategies to optimize key aspects of gene therapeutic products, including expression, stability, splicing, and translation. You will work closely with the Regeneron Genetic Medicines Technology Center (RGM) to advance therapeutic development through cutting-edge computational support. You will utilize genomic and transcriptomic profiling sequencing tools to engineer delivery vehicles, evaluate therapeutic cargo efficacy, and identify the off-target effects of the delivered payload. In this role, a typical day might include the following: Lead computational on-target and off-target characterization of gene therapy programs, utilizing both empirical NGS datasets and in silico prediction models. Build and refine models to predict, score, and prioritize therapeutic off-target effects across the transcriptome and genome. Use computational approaches to optimize expression of therapy payloads (siRNA, shRNA, snRNA and microRNA) and delivery of viral and non-viral vehicle technologies. Develop internal tools, pipelines, workflows, and documentation that raise the analytical standards of the Molecular Profiling and Data Science group. Contribute with technical expertise on discussions of research efforts conducted by your and other departments in the company. Prepare and deliver clear, concise scientific presentations for collaborators and senior management. This job might be for you if you: Have a strong background in gene therapy and differential gene expression analysis. Have direct experience or is very familiar with the production of a range of NGS datasets. Bring innovative thinking to multi-omics data analysis. Have a strong work ethic and are proactive in providing solutions to foster scientific collaborations and drive projects forward within Regeneron. Can effectively communicate with collaborators of various scientific backgrounds. Value teamwork and team excellence. In order to be considered for this role, you must have: Ph.D. in Data Science, computational biology, or related field 0-2 years of relevant experience Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive culture that provides comprehensive benefits, which vary by location. In the U.S., benefits may include health and wellness programs (including medical, dental, vision, life, and disability insurance), fitness centers, 401(k) company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) for eligible employees at all levels! For additional information about Regeneron benefits in the US, please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other countries’ specific benefits, please speak to your recruiter. Please be advised that at Regeneron, we believe we are most successful and work best when we are together. For that reason, many of Regeneron’s roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about Regeneron’s on-site policy and expectations for your role and your location. 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) $109,900.00 - $179,300.00

We are seeking a Senior Scientist to lead bioanalytical assay development supporting DMPK and immunogenicity for oligonucleotide therapeutics. This role plays a key part in advancing drug candidates from early research through clinical development and regulatory submission. Key Responsibilities: PhD in Analytical Chemistry, Biochemistry, or related field3–5 years of bioanalytical/analytical lab experienceStrong expertise in oligonucleotide bioanalysis and complex biological matricesExperience with GLP/GCP, regulatory guidelines, and CRO managementDevelop, optimize, and validate PK and ADA assays (LC-MS/MS, ELISA, qPCR)Lead bioanalytical strategies for oligonucleotides (siRNA, ASO, conjugates)Manage CROs for assay development, transfer, and sample analysisAnalyze and interpret PK, ADA, and PK/PD data for nonclinical and clinical studiesSupport study design, regulatory submissions (IND/NDA), and ensure ICH M10 complianceCollaborate cross-functionally with clinical, translational, and nonclinical teams

About Us We are building the gold-standard data layer that AI drug discovery platforms will run on. Partnered with leading AI labs, global tech companies, and top pharma, we're a fast-growing Palo Alto-based team on a mission to accelerate drug discovery through AI. The Role You don't need an AI background — you need deep scientific expertise. In this role, you'll use your research experience in bioinformatics to help fine-tune large language models (like ChatGPT) built for drug discovery. What You'll Do Perform bioinformatics analysis and provide drug development expertise for assigned work.Provide expert scientific feedback to AI researchers from leading labs, helping shape how AI models interpret drug discovery workflows in bioinformatics and computational biology contexts. What We're Looking For PhD in Bioinformatics, Computational Biology, Systems Biology, or a related life sciences or physical sciences field (postdocs, biopharma scientists, and industry researchers welcome)3+ years of bioinformatics research experience Offer Details Commitment: 15–30 hours/week (with overlap in PST)Compensation: Highly competitive, top 10% of industry ratesEngagement: Contractor/freelancer (no medical or paid leave)Duration: 1 month, with possible extensionRemote: Fully remote, collaborative environment