Senior Specialist, Data Science

MSD

. Lead deployment of advanced AI/ML solutions (multimodal transformers, graph or sequence models, Bayesian/probabilistic approaches) for toxicity prediction and translational safety applications.

Posted 4/21/2026full-timeWest Point • California, Massachusetts, Pennsylvania • 🇺🇸 United StatesSenior💰 $129,000 - $203,100 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Lead deployment of advanced AI/ML solutions (multimodal transformers, graph or sequence models, Bayesian/probabilistic approaches) for toxicity prediction and translational safety applications.
Design and implement agentic AI systems tailored to toxicology use cases.
Specialize in the fine-tuning and alignment of foundation models for toxicology domain-specific applications and supporting new approach methods (NAMs).
Drive collaboration with cross-functional teams of toxicologists, computational scientists, biologists, and chemists to ensure explainability, reproducibility, and address specific "context of use" regulatory requirements for safety assessments.
Champion best practices in model governance, and responsible AI within a regulated environment, helping to establish frameworks for responsible and ethical AI deployment in preclinical research.
Present and communicate science in key internal and external toxicology forums.

Requirements

What you’ll need

Ph.D. or M.S. in Computer Science, Computational Biology, Computational Chemistry, Bioinformatics, Statistics, or related field.
0+ years post-PhD or 3+ years post-MS experience developing and deploying AI/ML models
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).
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.
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
compassionate and sick days

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI solutionsML modelsmultimodal transformersgraph modelssequence modelsBayesian approachesfine-tuningalignment of foundation modelsmodel governanceresponsible AI

Soft Skills

collaborationcommunicationexplainabilityreproducibilitypresentation skillstranslating technical workleadership

Certifications

Ph.D.M.S.