Specialist, Data Science, Digital Operations and Innovation

MSD • Boston, MA

20h • Hybrid

About The Position

The successful candidate will be a contributing member of the DOI team, supporting initiatives that integrate artificial intelligence tools across scientific operations, automated authoring workflows, and laboratory operations. This role sits at the intersection of life sciences and data/computer science, and is well-suited for those with foundational experience in both domains who are eager to grow their skills in an applied, collaborative environment. The candidate will contribute to AI-driven solutions for scientific search, summarization, and information extraction, helping NDS scientists and operational teams access and synthesize relevant scientific knowledge more effectively. They will also support ongoing efforts to develop automated authoring capabilities across NDS, assisting in the implementation and testing of AI tools that streamline scientific documentation and reporting. Additionally, this role will support the development of tools, metrics, analytics, and models that provide insights into the operational health of our organization and improve our ability to predict and model workload based on both scientific and operational data. The successful candidate will work closely with senior members of the DOI team and will have the opportunity to grow their skills and expand their contributions over time.

Requirements

• 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

Nice To Haves

• Exposure to NLP techniques and/or large language models (LLMs) for scientific text analysis, summarization, or information extraction is a plus
• Familiarity with automated authoring platforms or scientific content management systems is a plus
• Familiarity with data science platforms such as Dataiku is a plus
• Familiarity with Good Laboratory Practices (GLPs), SDLC, and GLP validation is a plus

Responsibilities

• 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

Benefits

• medical, dental, vision healthcare and other insurance benefits (for employee and family)
• retirement benefits, including 401(k)
• paid holidays
• vacation
• compassionate and sick days
• annual bonus
• long-term incentive

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level