Specialist, Data Science, Digital Operations and Innovation

Job Description

Position Overview

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.

Key Responsibilities

AI Integration & Scientific Knowledge Management:

• 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

Operational Modeling Analytics & Dashboarding:

• 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

Collaboration & Continuous Improvement:

• 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

Qualifications

• Education

• Bachelors degree (or international equivalent) in computer science data science bioinformatics life sciences or a related field with 3 years of relevant experience.

• Masters 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 lifescience biomedical or regulated scientific settings

• Formal training in life sciences with demonstrated handson experience applying data science analytics or computational methods to scientific or operational problems

• Required Skills:

  • 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

• Additional Skills:

  • 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

Required Skills:

Preferred Skills:

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The salary range for this role is

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 employees 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 can apply for this role through (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

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