Machine Learning; ML Bioengineer

Reference #: REF
8195C
Job Code: SES.
2 Science & Engineering MTS 2 / SES.
3 Science & Engineering MTS 3
Organization: Engineering
Position Type: Career Indefinite
Security Clearance: Anticipated DOE Q clearance (requires U.S. citizenship and a federal background investigation)
Drug Test: Required for external applicant(s) selected for this position (includes testing for use of marijuana)
Medical Exam: Not applicable

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. The role is within the Bioresilience Incubator, a dynamic engineering center that integrates predictive computational modeling, machine learning, and experimental biology to advance national security and public health missions. This position will be in the Computational Engineering Division (CED), within the Engineering Directorate, matrixed to the Bioresilience Incubator.

As a member of our multidisciplinary team, you will collaborate with experts in machine learning, molecular simulation, optimization, and bioinformatics, and interface with experimentalists generating large datasets via novel high‑throughput assays. You will leverage in‑house computational tools and contribute to the design, training, and evaluation of new machine learning‑based methods.

Depending on your assignment, this position may offer a hybrid schedule, blending in‑person and virtual presence. You may have the flexibility to work from home one or more days per week.

This position will be filled at either level based on knowledge and related experience as assessed by the responsibilities (outlined below). Applicants hired at the higher level will be assigned the associated responsibilities.

You will

• Collaborate with project scientists and engineers to develop, implement, and evaluate computational frameworks and models.
• Contribute to the development and application of advanced analysis methodologies; analyze data; document research through presentations and peer‑reviewed publications.
• Support technical activities for new capability development and provide solutions to moderately complex to complex technical problems using established and innovative methods.
• Contribute to the completion of project milestones, influencing the development of organizational goals and objectives. Establish, implement, and maintain quality standards for project deliverables.
• Contribute to briefings and presentations documenting project activities and research results.
• Routinely interact with technical contacts at sponsor and partner organizations; represent the organization on specific technical projects.
• Participate in the development of future research directions and proposals to secure ongoing projects in computational protein design.
• Balance multiple projects/tasks and priorities to ensure deadlines are met, working independently with minimal direction within the scope of assignments.
• Perform other duties as assigned.

Additional job responsibilities, at the SES.
3 level

• Determine, propose, and implement advanced analysis methodologies and contribute to identifying future research directions and proposals that will secure future projects in the field.
• Guide the completion of projects and influence the development of organizational goals and objectives.
• Lead the development of briefings and presentations documenting project activities and research results.
• Represent the organization as the primary technical contact on tasks and projects, serving on internal technical/advisory committees and potentially on external committees.
• Oversee the activities of other personnel, providing informal mentoring and guidance to less‑experienced team members.
• Contribute to and influence the development of innovative projects, principles, and ideas in computational protein design.

• Ability to secure and maintain a U.S. DOE Q‑level security clearance which requires U.S. citizenship.
• Master’s degree in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics, or a related field, or the equivalent combination of education and related experience.
• Comprehensive…