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A leading company in the Washington, D.C. Metro area is seeking a dynamic Data Scientist with expertise in federal medical R&D and technical proposal writing. This remote role involves leading proposal development and data analysis for public health initiatives. The ideal candidate will have a strong background in handling complex datasets and crafting compelling narratives for securing funding. The company offers a comprehensive benefits package, emphasizing employee well-being and development.
Based in the Washington, D.C. Metro area,Pivot Path Solutions, LLCis a government contracting and business solutioning firmthat offers enterprise IT solutions, strategic planning, organizational development, and medical research and development services to help customers adapt and thrive in changing market conditions.Pivot Path Solutions is seekinga dynamic and multidisciplinary Data Scientist with a strong track record in federal medical research and development (R&D) and technical proposal writing. This role bridges innovation and execution—supporting research design, data-driven insight development, and leading the authorship of proposals under SBIR, OTA, and BAA mechanisms for agencies such as the DoD, DHA, VA, NIH, and BARDA. The ideal candidate is equally comfortable working with complex datasets and drafting compelling technical narratives to secure R&D funding. This is a remote position, however, candidates are preferred in the Washington, D.C. metro area.
Lead or co-author technical volumes for SBIR, OTA, and other non-FAR-based solicitations targeting medical R&D.
Translate innovative concepts into clear, compelling proposal content, including problem statements, methodologies, data strategies, and expected outcomes.
Collaborate with SMEs, PI-level researchers, and technical staff to design competitive research strategies.
Prepare proposal components including white papers, quad charts, biosketches, past performance, and work plans.
Track relevant R&D opportunities from MTEC, NIH, DTRA, DARPA, etc., and help shape pursuit strategies.
Support or lead exploratory data analysis, model development, and statistical validation for R&D efforts in public/military health.
Leverage tools such as Python, R, or SQL to analyze biomedical, clinical, or sensor-based datasets.
Help define data collection protocols, study design, and analytic frameworks in research proposals and active projects.
Integrate AI/ML, data visualization, and cloud-based analytics platforms (e.g., Snowflake, Databricks) as appropriate.
Collaborate with external researchers and partners to refine hypotheses and ensure methodological rigor.
Master’s or Ph.D. in Data Science, Public Health, Biostatistics, Computer Science, Biomedical Engineering, or related field.
3+ years of experience writing successful proposals for SBIR, OTA, or BAA funding in the federal health R&D space.
Hands-on experience analyzing complex health datasets (EHR, wearable data, surveys, genomics, etc.).
Proficiency in Python, R, or SQL for data manipulation, modeling, and visualization.
Ability to synthesize technical and scientific content for both technical and non-technical reviewers.
Strong communication, collaboration, and time management skills.
Prior experience supporting MTEC, SBIRinitiatives.
Familiarity with DoD acquisition and research protocols, human subjects protection, or FDA regulatory pathways.
Understanding of AI/ML techniques applied to healthcare (predictive modeling, NLP, imaging).
Working knowledge of Snowflake, Databricks, AWS, or similar cloud-based data platforms.