Biomedical Data Scientist (Job 1113) at DLH
Fort Detrick, Maryland, USA -
Full Time


Start Date

Immediate

Expiry Date

07 Nov, 25

Salary

170000.0

Posted On

09 Aug, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Requirements Management, Logistics Systems, Python, Medical Logistics, Research, Property Accountability

Industry

Hospital/Health Care

Description

ABOUT US

DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. With over 3,200 employees dedicated to the idea that “Your Mission is Our Passion,” DLH brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions.

OVERVIEW

This position supports a DLH partner seeking a mission-driven Data Scientist to sustain and optimize medical devices and equipment across Military Treatment Facilities (MTFs). This role involves on-site assessments, data analysis, and collaboration with healthcare and logistics professionals to enhance clinical outcomes and operational efficiency.

QUALIFICATIONS

  • U.S. Citizenship
  • Active Public Trust Clearance (Secret Clearance preferred)
  • Bachelor’s degree in a medical, scientific, or related field (Master’s preferred)
  • Minimum 5 years of experience in medical data applications or research
  • Experience in:


    • Medical Device Sustainment

    • Requirements Management
    • Property Accountability

    PREFERRED QUALIFICATIONS:

    • Experience leading Health Technology Management (HTM) programs
    • Familiarity with DoD acquisition and project management principles
    • Proficiency with:


      • Joint Medical Asset Repository (JMAR)

      • Defense Medical Logistics systems (e.g., Logicole)
      • Enterprise Intelligence and Data Solutions (EIDS) tools (e.g., Tableau, Python)
      • Experience with:


        • Military medical logistics data environments

        • ERP systems for defense medical logistics and financial management
        • Human-centered design for dashboard development
        • Medical supply and equipment procurement data
          Basic Compensation: $100,000- $170,000 yearly salary
          The salary range listed reflects what we reasonably expect to pay for this role at the time of posting. The final offer may vary based on skills, experience, geographic location, market conditions, and internal equity. Additional compensation may include performance incentives and program-specific awards. We do not use salary history to determine compensation, in line with applicable law.

        How To Apply:

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        Responsibilities
        • Conduct site visits to MTFs to assess the condition, replacement needs, or upgrade potential of Medical Devices and Equipment (MDE).
        • Review and analyze clinical and operational data to support decision-making for hospital staff and modality managers.
        • Collaborate with internal teams and external consultants to align on data-driven strategies.
        • Participate in clinic and industry site visits, conferences, and present findings as needed.
        • Interpret medical terminology and diagnoses to ensure database accuracy and integrity.
        • Develop medical algorithms to model clinical pathways and resource utilization.
        • Identify and assess practice variations to improve medical workflows.
        • Provide guidance on medical informatics and data governance.
        • Standardize and document analytics workflows and operational procedures.
        • Optimize dashboards for performance, usability, and data refresh cycles.
        • Develop reusable datasets with appropriate access controls.
        • Report monthly on dashboard performance, usage metrics, and issue resolution.
        • Track and report team training progress and skill development.
        • Identify and implement opportunities for analytics process automation.
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