AI/ML Data Scientist

Pivot Path Solutions; Fairfax (VA); Remote; USD 80,000 - 120,000; Full time

Job summary

An innovative firm is seeking a motivated AI/ML Data Scientist to support groundbreaking medical research initiatives. This remote position will involve developing advanced analytics and machine learning solutions to tackle complex challenges in clinical research and public health. The ideal candidate will work with multidisciplinary teams to derive insights from high-dimensional datasets, contributing to R&D efforts that improve health outcomes for service members and the public. If you are passionate about applying your skills in a meaningful way, this opportunity is perfect for you.

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(K) Plan

Education Reimbursement

Employee Referral Program

Life Insurance

Disability Insurance

Qualifications

• 3+ years of experience applying AI/ML in healthcare or public health.
• Deep understanding of ML concepts: supervised/unsupervised learning.
• Experience working with health data: EHR, claims, or clinical trial datasets.

Responsibilities

• Design and implement AI/ML models for complex datasets.
• Collaborate with teams to define research questions and solutions.
• Support model validation and ethical AI practices.

Skills

Python

Machine Learning

R

Natural Language Processing

Data Analysis

Statistical Analysis

Education

Master’s or Ph.D. in Computer Science

Master’s or Ph.D. in Data Science

Master’s or Ph.D. in Biomedical Informatics

Tools

TensorFlow

PyTorch

Scikit-learn

XGBoost

spaCy

OpenCV

AWS

Azure

Job description

Based in the Washington, D.C. Metro area,Pivot Path Solutions, LLCis a government contracting and management consulting 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 seeking a highly motivated AI/ML Data Scientist to support pioneering medical research initiatives across the Military Health System (MHS), Department of Veterans Affairs (VA), and civilian public health sectors. The ideal candidate will develop and apply advanced analytics and machine learning solutions to address complex challenges in clinical research, epidemiology, and digital health transformation. From battlefield medicine to chronic disease management, your work will support R&D efforts that directly improve health outcomes for service members, veterans, and the public. This is a remote position, however, candidates are preferred in the Washington, D.C. metro area.

Key Responsibilities:

• Design and implement AI/ML models to derive insights from complex, high-dimensional datasets (e.g., EHRs, genomic data, imaging, and biosensor outputs).

• Collaborate with multidisciplinary teams (clinicians, epidemiologists, data engineers, policy analysts) to define research questions and develop data-driven solutions.

• Apply and tailor machine learning techniques to solve domain-specific problems in:

  • Predictive modeling (e.g., risk stratification for TBI, PTSD, chronic illness)

  • Time-series analysis (e.g., vital sign monitoring, disease progression)

  • Natural language processing (NLP) (e.g., extraction from clinical notes, case reports)

  • Computer vision (e.g., radiology and pathology image classification)

  • Unsupervised learning (e.g., clustering phenotypes or patient cohorts)

  • Causal inference and counterfactual modeling for treatment effect estimation

  • Federated learning and privacy-preserving AI for multi-site collaboration

• Support model validation, bias detection, and ethical AI practices in compliance with health data privacy regulations (HIPAA, 21 CFR Part 11).

• Contribute to the development of dashboards, decision support tools, and research publications.

• Participate in proposal development for research funding from DHA, MTEC, NIH, VA, and other agencies.

Required Qualifications:

• Master’s or Ph.D. in Computer Science, Data Science, Biomedical Informatics, Statistics, or related discipline.

• 3+ years of experience applying AI/ML in healthcare, biomedical research, or public health.

• Proficiency in Python, R, and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, XGBoost.

• Deep understanding of ML concepts: supervised and unsupervised learning, deep learning, ensemble methods, and model evaluation techniques.

• Experience working with health data: EHR, claims, registries, or clinical trial datasets.

• Familiarity with healthcare interoperability standards and terminologies (e.g., HL7 FHIR, SNOMED CT, LOINC).

Preferred Qualifications:

• Prior experience supporting DoD, VA, HHS, or federally funded R&D programs.

• Hands-on experience with NLP libraries (e.g., spaCy, Hugging Face Transformers) and medical imaging tools (e.g., MONAI, OpenCV).

• Understanding of algorithmic fairness, health equity analysis, and SDOH integration.

• Experience with cloud-based data platforms and ML pipelines (e.g., AWS, Azure, Databricks, Snowflake).

What We Offer:

Pivot Path Solutions strives to attract, motivate, and retain the best people in the industry. Our benefits package reflects our continued commitment to our employees by prioritizing the health and well-being of each member. The Company offers a comprehensive compensation package that includes:

• Comprehensive benefits package, including health, dental, and vision insurance
• Generous Contribution on Health, Dental and Vision Insurances
• 100% Employer Paid Group Life Insurance, Short Term and Long-Term Disability
• Safe Harbor 401(K) Plan
• Health Saving Account (HSA)
• Healthcare Flexible Saving Account (FSA) and Dependent Care FSA
• Education Reimbursement
• Employee Referral Program

U.S. Citizenship is required, and all selected applicants will be subject to a government security investigation. This includes meeting the eligibility requirements for access to classified information and the ability to obtain government-granted security clearance. Individuals may also be subject to background investigation including criminal history, employment verification, education verification, drug testing, and creditworthiness.