Merck · 4 hours ago
Senior Data Scientist (AI/ML) in Data, AI & Genome Sciences
USA - Massachusetts - Cambridge (320 Bent Street)
Full-time
Hybrid
Mid, Senior Level
$145K/yr - $228K/yr
4+ years expMerck is a leading company focused on delivering innovative medicines to improve lives. They are seeking a Senior Data Scientist to contribute to the advancement of understanding complex diseases through AI/ML capabilities, working within a cross-functional team to develop innovative therapeutic strategies.
BiotechnologyHealth CareMedicalPharmaceutical
Responsibilities
Integrate single‑cell multi‑omics and perturbation data with biomedical knowledge graphs to generate actionable insights
Apply graph‑based causal reasoning to design and run virtual mechanistic experiments, revealing how perturbations propagate through cellular networks
Partner with cross‑functional teams (experimentalists, platform engineers, AI/ML colleagues) to define research questions, determine data needs, and craft end‑to‑end solutions
Develop and validate biological‑inference methods for complex, multi‑modal datasets, ensuring models capture underlying biology
Translate model outputs into interpretable results and combine them with orthogonal data to build, simulate, and evaluate in‑silico experiments
Stay current with advances in biology and AI, proactively incorporating new techniques into the workflow
Qualification
Required
PhD (or equivalent) in Molecular Biology, Computer Science, Physics, Computational Biology, Data Science, AI/ML, Biomedical Engineering, Genetics/Genomics, Bioinformatics, Mathematics, Statistics, Pharmaceutical Sciences, or related STEM field with 0-3+ years of post-doctoral or industry experience; or Master's with 4+ years of relevant experience; or Bachelor's with 7+ years of relevant experience
Strong background in computational biology or bioinformatics, with proven ability to derive biological insights from complex, multi-modal data
Proficiency in Python and ML frameworks (PyTorch, sklearn), SQL, and statistical analysis of single‑cell and multi-omics data
Familiarity with foundation models or Bayesian statistics applied to graph-structured data is a strong plus
Deep interest in life‑science problems and disease biology, with a willingness to learn and teach
Excellent communication skills and a track record of collaboration in multidisciplinary teams
Artificial Intelligence (AI)
Bayesian Statistics
Computational Biology
Computer Science
Data Modeling
Data Science
Foundation Models
Graph Neural Network (GNN)
Knowledge Graph
Machine Learning (ML)
Mathematics
ML Frameworks
Omics
PyTorch
Scientific Research
Single Cell Analysis
Stakeholder Relationship Management
Transformer Model
Benefits
Medical
Dental
Vision healthcare
Other insurance benefits (for employee and family)
Retirement benefits, including 401(k)
Paid holidays
Vacation
Compassionate and sick days
Company
Merck
Merck is a biopharmaceutical company that offers medicines and vaccines for various diseases.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$5.59MKey Investors
Private Capital AdvisorsGavi, the Vaccine Alliance
2018-11-25Post Ipo Equity· $0.59M
2016-01-21Series Unknown· $5M
1980-12-19IPO
Leadership Team
Betty Larson
Executive Vice President and Chief Human Resources Officer
Dean Li
Executive Vice President and President, Merck Research Laboratories
Recent News
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2026-01-22
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