Data Scientist / Systems Analyst

On Site Full TimeMassachusetts, United StatesMIT Lincoln Laboratory

Role Overview

The Bioanalytics Systems & Technologies Group is seeking a highly motivated and experienced Data Scientist and/or Systems Analyst to contribute technical leadership across a range of programs. This role is well-suited to someone who can work hands-on across the AI/ML lifecycle — from generative modeling and data strategy through rigorous evaluation — while helping shape methods and tools that generalize across data modalities and mission applications.

What You Will Do

As Technical Staff, you will work with your team to understand and support success by prototyping capabilities and solutions and providing recommendations regarding technology capabilities, requirements, architectures, and pipelines to provide guidance and meet the needs of the U.S. government in developing advanced technologies and algorithms.

Why It Might Be a Fit

You will bring a systems-analysis mindset to connect data, model development, and capability evaluation into coherent, reusable technical approaches. You will work with your team to understand and support mission success by analyzing user needs and operational constraints, providing recommendations regarding technology capabilities, requirements, architecture, and data/ML pipelines, designing, prototyping, and evaluating analytics and modeling solutions, and communicating technical findings and recommendations clearly to both technical and non-technical stakeholders.

Requirements

  • Ph.D. in Applied Mathematics, Bioinformatics, Biomedical Engineering, Computational Biology, Computer Science, Data Science, Physics, Statistics, or a related scientific field.
  • Strong analytical and systems-thinking skills, with the ability to design approaches that generalize across data types and use cases.
  • Ability to frame the “big picture” motivations, operational constraints, and stakeholder needs around an issue, while knowing when and how to dig into the underlying technical details.
  • Demonstrated experience applying AI/ML techniques to answer research questions or solve practical technical problems.
  • Demonstrated ability to work collaboratively and to lead small to medium teams of diverse backgrounds and skillsets to execute a technical vision and deliver program success.
  • Demonstrated skills in scientific writing and clear presentation of technical materials to varied audiences, including both technical experts and non-technical stakeholders (e.g., clinicians, sponsors, program managers).

Benefits

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options

To apply for this job please visit careers.ll.mit.edu.

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