Merck
Senior Scientist, Biomarker Discovery, Multiomics
USA - Massachusetts - Cambridge (320 Bent Street) · Senior · Contract
Sponsorship not specified$119k-$188kDetected 67 days ago
LinuxData ScienceExcelHRISBioinformaticsMolecular BiologyCell CultureResearchExperimental DesignAnimal StudiesLeadershipCommunicationCollaborationProblem SolvingCritical ThinkingPublic Speaking
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odds of building a lasting career here
55Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role85
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
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About the role
- We are seeking a highly skilled and experienced experimental and computational biologist with a strong background impacting Immunology Drug Discovery leveraging advanced multimodal and multi-omics technologies to join the Spatial and Single Cell Multiomics (SSM) Team within the Department of Data, AI & Genome Sciences (DAGS) at our company's Research Laboratories in Cambridge, MA.
- Our team leverages cutting-edge Spatial Multiomics (CosMx WTx, Xenium, COMET mIF, Digital Pathology, MSI) and multi-omics single cell approaches (REAP-seq/CITE-seq, CROP-seq/Perturb-Seq, Immune profiling, Multiome ATAC-seq) to drive Biomarker Discovery and innovation across the drug development pipeline, from pre-clinical to clinical stages.
- SSM collaborates closely with therapeutic areas such as Oncology, Immunology, Neuroscience, and Cardiometabolic Disease, as well as functional areas including Data, AI & Genome Sciences, Data Science & Scientific Informatics, Quantitative Bioscience, and ChemBio within the Discovery, Preclinical and Translational Medicine (DPTM) organization.
Responsibilities
- Design and execute hands-on laboratory experiments for large-scale studies across single cell and spatial multiomics assays, including single cell RNA-seq, REAP-seq/CITE-seq, CROP-seq/Perturb-seq, immune profiling, Multiome ATAC-seq, and spatial multiomics platforms such as CosMx, Xenium, COMET mIF, and Digital Pathology.
- Support and develop perturbation, cell-culture, and tissue-based profiling studies to enable mechanistic studies and translationally relevant biological investigations.
- Collaborate closely with experimental biologists, automation engineers, computational scientists, data analysts, AIML data scientists, and therapeutic area subject matter experts to address biological questions, develop experimental strategies, and execute project plans.
- Independently drive projects from study design through execution, data interpretation, troubleshooting, and communication of results to stakeholders and senior leadership.
- Evaluate, implement, and scale emerging single cell and spatial technologies, computational approaches, and biological models for use in early discovery and translational research.
- Drive scientific impacts across technical workstreams, helping to close multiple experimental and computational capability gaps on the team.
- Work in a matrixed environment aligned by therapeutic area, with primary support for Immunology and Oncology programs, and collaboration across other DAGS and DPTM efforts as needed.
- Experience operating effectively in a matrixed team structure with alignment to therapeutic area priorities and collaboration across technical leads.
Requirements
- No Travel Required
Nice to have
- Preferred Experience and
- Preferred Experience and Skills:
- Preferred Skills:
Skills
- Demonstrated application of single cell and/or spatial multiomics to Immunology.
- Experience using Linux/Unix OS and high-performance compute (HPC) environments. Expertise in R and/or Python.
- Experience partnering with cross-functional groups including experimental biologists, data scientists, TA biologists and IT Engineering
- Exceptional problem-solving abilities, critical thinking skills, and analytical expertise.
- A strong publication history in reputable peer-reviewed journals.
- #EligibleforERP
- Current Employees apply HERE
- Current Contingent Workers apply HERE
- US and Puerto Rico Residents Only:
- Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities.
- For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
- EEOC Know Your Rights
Compensation
- The salary range for this role is
Benefits
- Education Minimum Requirement:
- Broad scientific versatility and learning agility, with the ability to expand into adjacent workflows or biological domains as project needs evolve.
Equal opportunity
- Employment laws, visit:
- EEOC GINA Supplement
- We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.
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Visa & Work Authorization
- VISA Sponsorship:
This listing is sourced directly from Merck's careers page and normalized into a canonical job model.