Merck
Senior Scientist, Biomarker Discovery Automation & Engineering, Multiomics
USA - Massachusetts - Cambridge (320 Bent Street) · Senior · Contract
Sponsorship not specified$131k-$207kDetected 67 days ago
PythonLinuxMachine LearningData ScienceData VisualizationHRISIntellectual PropertyBioinformaticsCRISPRMolecular BiologyResearchExperimental DesignAnimal StudiesCommunicationCollaborationProblem SolvingCritical ThinkingPublic Speaking
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odds of building a lasting career here
60Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role85
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
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About the role
- We are seeking a dedicated and highly motivated automation engineer/scientist to join the Data, AI & Genome Sciences (DAGS) group at our company's Research Laboratories in Cambridge, MA.
- Our team applies Spatial Multiomics platforms including CosMx WTx, Xenium, COMET mIF, Digital Pathology, and MSI, as well as multi-omics single-cell approaches including REAP-seq/CITE-seq, CROP-seq/Perturb-seq, immune profiling, and Multiome ATAC-seq.
- Integrate instrumentation, process controls, and QC metrics into automated workflows to improve robustness, reduce variability, and enable scalable laboratory operations.
Responsibilities
- Collaborate closely with experimental biologists, automation engineers, data scientists, and therapeutic area subject matter experts to develop and implement scalable automation workflows that enable high-quality, reproducible data generation in a timely manner.
- Develop, implement, optimize, and validate automated workflows for single-cell, spatial, and molecular omics assays, including Parse-seq, 10x Flex, CROP-seq/Perturb-seq, immune profiling, Multiome ATAC-seq, spatial workflows, Olink HT, high-throughput CRISPR screens, and complex cell-based model systems.
- Monitor automated systems during workflow execution and perform system- and instrument-level troubleshooting, coordinate maintenance, and drive error recovery as needed.
- Support technology transfer, workflow scale-up, and deployment of new automated methods into routine laboratory operations.
- Prepare, document, and maintain automation methods, workflow parameters, SOPs, and experimental records to support reproducibility, compliance, and operational rigor.
- Partner proactively with cross-functional teams across DAGS, Therapeutic Areas, and RaDS-IT to accelerate impact on biomarker discovery and early drug discovery efforts.
- Clearly communicate workflow designs, protocols, performance metrics, and experimental results through presentations, technical documentation, and reports to stakeholders and senior leadership.
- Strong experience developing, implementing, and supporting automated workflows for single-cell, spatial, and/or multi-omics assays.
Requirements
- Required Skills and Experience
- Experience with automated systems and associated instrumentation used in omics workflow execution.
Nice to have
- Preferred Skills:
Skills
- 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:
- Learn more about your rights, including under California, Colorado and other US State Acts
Compensation
- The salary range for this role is
Benefits
- Required Education
Company info
- Job Description We are seeking a dedicated and highly motivated automation engineer/scientist to join the Data, AI & Genome Sciences (DAGS) group at our company's Research Laboratories in Cambridge, MA.
Equal opportunity
- Employment laws, visit:
- EEOC Know Your Rights
- 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.
Visa & Work Authorization
- VISA Sponsorship:
This listing is sourced directly from Merck's careers page and normalized into a canonical job model.