Data Science Specialist – Digital Operations and Innovation

MSD

Contributing Data Scientist supporting AI integration for scientific operations in life sciences. Collaborating on AI-driven solutions for scientific search, summarization, and information extraction.

Posted 4/28/2026full-timeWest Point • Massachusetts, Pennsylvania • 🇺🇸 United StatesMid-LevelSenior💰 $106,200 - $167,200 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudPythonSQL

About the role

Key responsibilities & impact

Contribute to the integration of AI tools for scientific search, summarization, and information extraction in support of NDS scientists and operational teams
Assist in the development and testing of automated authoring workflows across NDS, supporting the use of NLP and AI tools to streamline scientific documentation and reporting
Stay informed on relevant AI and data science trends and share learnings with the team
Support the development of operational models, analytics, and reporting pipelines to assist data-driven decision-making across NDS
Contribute to tools, metrics, and analytics that monitor lab space, equipment, and system utilization in support of vivarium modernization efforts
Contribute to the development of scalable tools for data capture, integration, and reporting in support of operations projects
Work closely with cross-functional teams and senior DOI colleagues to understand data challenges and contribute practical, user-friendly solutions
Participate in continuous improvement efforts by staying current with emerging tools and technologies in data science and take on additional projects and responsibilities as you grow within the team

Requirements

What you’ll need

Bachelor’s degree (or international equivalent) in computer science, data science, bioinformatics, life sciences, or a related field with 3+ years of relevant experience.
Master’s degree (or international equivalent) in computer science, data science, bioinformatics, life sciences, or a related field with 0-1 years of relevant experience.
Formal training in data/computer science with practical experience applying these skills in life‑science, biomedical, or regulated scientific settings
Formal training in life sciences with demonstrated, hands‑on experience applying data science, analytics, or computational methods to scientific or operational problems
Foundational analytical and problem-solving skills with a willingness to work both independently and collaboratively
Ability to understand requirements defined by scientific and operational subject-matter experts (SMEs) and translate them into technical solutions
Proficiency in Python programming, with some experience building or contributing to DASH applications
Familiarity with AWS or other cloud-computing platforms
Experience with GIT, Confluence, and good documentation practices
Working knowledge of SQL for data manipulation and analysis
Familiarity with Power BI and other Power Platform tools (experience with alternative dashboard tools such as Spotfire is a plus)
Foundational exposure to AI/ML applications, including NLP, for scientific use cases

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

✓ Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills & Tools

PythonDASH applicationsSQLNLPAI/ML applicationsdata scienceanalyticscomputational methodsautomated authoring workflowsdata capture

Soft Skills

analytical skillsproblem-solving skillscollaborative skillsindependent workcommunication skillsunderstanding requirementstranslating technical solutionscontinuous improvementadaptabilityteamwork