Senior Data Scientist, AI/ML, Data, AI & Genome Sciences Full-time

Artificial Intelligence Machine Learning Data Scientist

Our Artificial Intelligence Machine Learning (AI/ML) capabilities are critical accelerators to our mission of delivering towards inventing new medicines that save and improve lives. Core to the Data, AI, and Genome Sciences (DAGS) function is an AI/ML-first approach to improving target and biomarker discovery, validation and selection, and elucidating complex disease mechanisms. Your work will contribute to the advancement of our understanding of complex diseases and support the development of innovative therapeutic strategies. You will be part of a cross-functional team of computational biologists, bioinformaticians, data scientists, software engineers, and machine learning engineers that strive to identify therapeutic targets.

Primary Responsibilities

We are looking for a Data Scientist with a strong background in computational biology and deep learning. This role emphasizes multi-modal integration, foundation model inference, and graph-based reasoning to advance drug discovery by generating mechanistic insights and uncovering therapeutic opportunities.

• Collaborate with diverse, cross-functional teams to define research objectives and data needs.
• Develop, evaluate, and apply innovative approaches for biological inference from complex data.
• Synthesize and interpret model results to enable in silico experimentation.
• Remain informed on cutting-edge AI and biological research trends.

Required Experience and Skills

• One of the following credentials:
• PhD in Computer Science, Data Science, Genetics & Genomics, Physics, Mathematics, Computational Biology, Bioinformatics, Biomedical Engineering, Pharmaceutical Sciences, AI/ML, Electrical Engineering, or a related field with 0-3+ years academic medical or industry experience,
• Masters with 4+ years of experience, or
• Bachelors with 7+ years of experience.
• Experience with foundation models and/or knowledge graphs.
• Demonstrated experience deriving biological insights from complex multi-modal data.
• Strong proficiency in Python required, proficiency in SQL, single cell data, and/or spatial transcriptomics a plus.
• Strong background in computational biology or bioinformatics is a plus
• Experience with immunology a plus

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The salary range for this role is $141,900.00 – $223,300.00 This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.