Job description

The Bioanalytics Systems & Technologies Group focuses on driving analytic and Al/ML solutions that leverage vast and rapidly expanding biological datasets to address national security needs. The Group’s efforts include developing software architectures and systems, bioinformatics tools, and AI algorithms to further the nation’s efforts in biomedical, health, chemical and biological defense, biosecurity, public and global health and warfighter performance. Job Description Our 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. As Technical Staff, you will also be a principal investigator for projects, lead teams, define research plans, and provide technical oversight. The work of the group is highly collaborative and interdisciplinary. Accordingly, the backgrounds of the researchers and program teams are diverse. 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. 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 • Designing and conducting technology verification and validation, including testing software and systems with users or subject-matter experts in realistic settings • Collaborating with multidisciplinary teams, including scientists, engineers, and analysts—to translate technical work into mission-relevant capabilities • Communicating technical findings and recommendations clearly to both technical and non-technical stakeholders Job Requirements Requirements: • Ph.D. in Applied Mathematics, Bioinformatics, Biomedical Engineering, Computational Biology, Computer Science, Data Science, Physics, Statistics, or a related scientific field. In lieu of a Ph.D., a master’s degree with 7+ years of directly related experience may be considered. Additional experience beyond the Ph.D. is a plus. • 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). • This position is onsite only. Experience with one or more of the following is a plus: • Developing solutions in cloud environments such as AWS, and working with data lakes/warehouses • Data curation, annotation, integration, harmonization, and building scalable ML data pipelines • Simulation environments, digital twins, or synthetic data generation for training and validating algorithms • Systems analysis using modeling and simulation to understand key trade-offs in complex systems • Designing or applying evaluation frameworks and metrics for AI model/system performance and trustworthiness • Health or healthcare-related data/analytics, including electronic health record (EHR) data structures and clinical data standards • Hands-on experience with generative modeling techniques and/or LLM-based tool development (e.g., RAG architectures, prompt engineering, model evaluation) Recent Graduate Hiring Range: $145,200 - $170,000 Experienced Hiring Range: $145,200 - $220,000 Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits. At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: • 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 • ... and much more! Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks . Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance. MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required. Requisition ID: 43500

Requirements

Must-haves

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
Designing and conducting technology verification and validation, including testing software and systems with users or subject-matter experts in realistic settings
Collaborating with multidisciplinary teams, including scientists, engineers, and analysts—to translate technical work into mission-relevant capabilities
Communicating technical findings and recommendations clearly to both technical and non-technical stakeholders
Job Requirements
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).
This position is onsite only.
Developing solutions in cloud environments such as AWS, and working with data lakes/warehouses
Data curation, annotation, integration, harmonization, and building scalable ML data pipelines
Simulation environments, digital twins, or synthetic data generation for training and validating algorithms
Systems analysis using modeling and simulation to understand key trade-offs in complex systems
Designing or applying evaluation frameworks and metrics for AI model/system performance and trustworthiness
Health or healthcare-related data/analytics, including electronic health record (EHR) data structures and clinical data standards
Hands-on experience with generative modeling techniques and/or LLM-based tool development (e.g., RAG architectures, prompt engineering, model evaluation)
Recent Graduate Hiring Range: $145,200 - $170,000
Experienced Hiring Range: $145,200 - $220,000
At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:

Nice-to-haves

Experience with one or more of the following is a plus:

Application prep

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Keywords to mirror

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Platform: successfactors
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k