Sr. Scientist, Multiomics-----Cambridge, MA

Skills Needed

• Must-Have Technical Skills: Hands-on proficiency in Next-Generation Sequencing (NGS) library preparation and condition optimization, paired with the bioinformatics/data analysis skills to analyze their own data (a wet-lab scientist, not purely computational).
• Must-Have Automation Experience: Direct experience applying lab automation to NGS library builds (or strong molecular biology automation experience easily transferable to NGS pipelines).
• Education & Experience Requirements: PhD in any biological science with 2–3 years of hands-on postdoc/lab experience, or a Master’s degree with ~10 years of hands-on experience (experience level fits between the current Scientist and Senior Scientist on the team).
• Nice-to-Haves & Flexible Areas: Prior industry/pharma/biotech experience is strictly a bonus (candidates coming directly out of academia/postdocs are welcome); the specific biological discipline is flexible as long as core molecular biology/in vitro lab skills are solid.

Job Description:

We are seeking a highly motivated Senior Scientist contractor with broad expertise in multiomics, functional genomics, and next-generation sequencing (NGS) workflows to support oncology research. This hands-on role will be based in Cambridge, Massachusetts, with responsibilities divided approximately equally between laboratory work (50%) and data analysis (50%).

The successful candidate will design and execute multiomics studies spanning genomic, transcriptomic, epigenomic, and single-cell approaches; analyze and integrate resulting datasets; and communicate findings to cross-functional project teams. The role requires strong experimental judgment, computational capability, and the ability to independently advance multiple projects in a collaborative research environment.

Key Responsibilities

• Devote approximately 50% of time to laboratory work, including experimental design, sample preparation, assay execution, optimization, troubleshooting, and documentation.
• Perform and coordinate multiomics assays, including RNA-seq, ATAC-seq, CUT&RUN, and single-cell workflows, using fit-for-purpose approaches for each study.
• Devote approximately 50% of time to data analysis, including quality control, processing, visualization, interpretation, and reporting across multiple omics data types.
• Integrate genomic, transcriptomic, epigenomic, and single-cell datasets to generate biologically meaningful insights and support target discovery and validation.
• Develop, optimize, and document robust, reproducible experimental and analytical workflows and standard operating procedures.
• Maintain accurate sample metadata, experimental records, analysis outputs, and project documentation to enable cross-study data integration.
• Present integrated findings and recommendations clearly to scientists and cross-functional project teams.
• Collaborate with internal colleagues and external partners to coordinate study design, execution, data delivery, and timelines.
• Stay current with emerging multiomics technologies and analytical approaches, and recommend fit-for-purpose methods.
• Follow laboratory safety, data integrity, and quality standards.

Required Qualifications

• Ph.D. in molecular biology, cell biology, genomics,, computational biology, or a related discipline, with relevant research experience.
• Demonstrated hands-on experience designing and executing multiomics or functional genomics studies.
• Experience with two or more complementary omics modalities, such as bulk or single-cell RNA-seq, ATAC-seq, CUT&RUN, DNA sequencing, proteomics, or related workflows.
• Demonstrated ability to analyze, integrate, and interpret complex multiomics datasets using appropriate computational tools, quality-control methods, and clear visualizations.
• Working proficiency in commonly used data-analysis environments such as R, Python, or equivalent tools.
• Strong experimental design, troubleshooting, problem-solving, and organizational skills.
• Ability to manage multiple priorities, work independently, and deliver high-quality results on schedule.
• Clear written and verbal communication skills and demonstrated effectiveness in cross-functional collaboration.

Preferred Qualifications

• Experience automating NGS sample preparation or related laboratory workflows.
• Experience integrating multiomics datasets to identify biological mechanisms, biomarkers, or therapeutic opportunities.
• Experience supporting oncology drug discovery or translational research.
• Familiarity with sample tracking systems, reproducible analysis workflows, cloud or high-performance computing environments, and data-management best practices.