Merck
Sr. Scientist, Generative Protein Design
USA - Massachusetts - Cambridge (320 Bent Street) · Senior · Contract
Sponsorship not specified$131k-$207kDetected 1 day ago
Machine LearningData AnalysisData EngineeringLLMsHRISBioinformaticsMolecular BiologyResearchLeadershipCommunicationCollaborationProblem SolvingPublic 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.
Lottery odds assume a STEM candidate.
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About the role
- The role is based out of our Cambridge, MA facility.
- Our teams combine leading drug discovery capabilities and world-class R&D with the purpose of turning breakthrough science into life-changing medicines.
- We recognize that the difference in our team is our strength and are committed to creating an inclusive environment for all employees.
Responsibilities
- Integrate AI/ML protein design methods with structural biology and high-throughput experimental screening data to devise and execute de novo protein design and optimization strategies.
- Process and analyze experimental functional data in context of protein structure, and optimize workflows using data for hit-to-lead optimization.
- Evaluate and improve computational protein design strategies, methods and models (zero- and few-shot).
- Collaborate with laboratory scientists to design experiments that produce high-quality, ML-ready data.
- Effectively partner across multidisciplinary interfaces to achieve organizational objectives.
- Extensive expertise in GenAI/ML-based protein design methods and protein structural biology.
- Experience using experimental data to optimize protein sequences for function.
- Passion for sharing knowledge and helping colleagues develop.
Requirements
- No Travel Required
Skills
- Strong skills in data analysis and visualization.
- Comprehensive scientific knowledge across workflows and domains integral to the discovery of protein therapeutics.
- Deep understanding of protein structure and sequence representations, featurization and embeddings.
- Demonstrated proficiency in computational protein design method/algorithm development.
- Experience training/validating data-driven ML models to solve complex problems.
- 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.
- Preferred Skills
- #EligibleforERP
Compensation
- The salary range for this role is
Benefits
- Create de novo therapeutic proteins using structure-guided generative AI and machine learning-based protein design and engineering technologies.
Company info
- We are on a quest for cures and are committed to be the world's premier, most research-intensive biopharmaceutical company.
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.