Senior Data Scientist, Agentic AI, Machine Learning

MSD

Senior Data Scientist developing agentic AI and Machine Learning solutions within pharmacokinetics and bioanalytics. Collaborating with scientists and stakeholders to enhance drug development efficiency.

Posted 5/28/2026full-timeCalifornia, Massachusetts, Pennsylvania • 🇺🇸 United StatesSenior💰 $129,000 - $203,100 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Act as a trusted technical partner to DMPK scientists, clinical pharmacologists, statisticians, clinicians, and research leaders
Facilitate cross-functional alignment, and translate scientific and operational needs into clear AI/ML solution requirements
Communicate clearly with both technical and non‑technical audiences, explaining capabilities, limitations, and trade-offs
Design, develop, benchmark and deploy AI agents to support PDMB and clinical workflows, including: automated report generation, quality evaluation and consistency checks, process monitoring and deviation detection, scheduling, prioritization, and alerting systems
Develop and apply machine learning and deep learning models for DMPK and clinical applications
Define benchmarks and success metrics for AI agents and ML models, including scientific quality, operational efficiency, and user adoption
Contribute to responsible AI practices, including transparency, reproducibility, governance, and compliance with GxP considerations
Define and track value metrics such as time savings, cost avoidance, throughput improvements, and decision quality

Requirements

What you’ll need

Master’s (with 3 years) or Ph.D. in Data Science, Computer Science, Computational Chemistry, Bioinformatics, Applied Mathematics or a related quantitative field
Hands-on experience with large language models and agentic AI frameworks (fine-tuning, prompt engineering, multi-agent orchestration, tool use, and API-based production orchestration) required
Proven experience integrating and modeling multimodal datasets (omics, chemical, textual, imaging)
Experience in model evaluation and benchmarking
Strong software development skills in Python and familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow), MLOps tools, cloud platforms (AWS preferred), and HPC environments
Experience driving consensus in cross-functional teams spanning science, engineering, and operations
Experience in stakeholder management and influencing without authority
Excellent communication skills; ability to translate complex technical work to domain experts and leadership.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdeep learninglarge language modelsmodel evaluationbenchmarkingPythonMLOpsAI frameworksdata integrationquantitative analysis

Soft Skills

communicationstakeholder managementcross-functional collaborationinfluencing without authorityproblem-solvingtranslating technical workteam consensus buildingoperational efficiencyuser adoptionresponsible AI practices

Certifications

Master’s in Data SciencePh.D. in Data ScienceMaster’s in Computer SciencePh.D. in Computer ScienceMaster’s in Computational ChemistryPh.D. in Computational ChemistryMaster’s in BioinformaticsPh.D. in BioinformaticsMaster’s in Applied MathematicsPh.D. in Applied Mathematics