Health Data Scientist

Edera L3C is a fast-growing healthcare consultancy that addresses today's issues and helps create tomorrow's solutions by connecting the brightest minds in healthcare. Our team of management, technology, and creative services consultants work collaboratively with industry experts who bring deep experience and expertise to create transformational business solutions. We believe complex challenges and multi-faceted opportunities call for multi-disciplinary approaches and that's how we work. We transform healthcare by bringing industry best practices from the private sector to the public sector, and the public sector to the private sector. Edera is an L3C (a variation of a limited liability company) that places "purpose before profit;" a social enterprise venture. This means we are focused on a socially beneficial mission to transform organizations rather than being driven to maximize income. Profits beyond our business sustainability goals are reinvested into communities or clients.

The Health Data Scientist leads advanced data science and modeling initiatives across Navy Medicine to enhance operational readiness, clinical outcomes, and strategic planning. This role applies advanced analytics, machine learning, and artificial intelligence to extract meaningful insights from large-scale health and readiness datasets. The Health Data Scientist is responsible for the development of longitudinal data models to assess deployment-related outcomes and trends over time. In addition, this position supports the implementation of health IT solutions and JOMIS integration, contributing to the design and execution of enterprise analytics strategies that drive mission-critical decision-making across the military health system. The individual will collaborate with stakeholders from BUMED, the Defense Health Agency (DHA), and operational commands to integrate predictive models and evidence-based insights into enterprise decision-making frameworks.

Type of Employment: Full-time, W2 Work Location/Travel: Remote with up to 25% travel to Navy Medicine facilities or command locations Salary Range: $105,000-$115,000 annually (W2, depending on experience and technical credentials) Role Reports to: Project Manager Direct Reports: This role has no direct reports

Responsibilities:

• Design and deploy predictive models, AI/ML algorithms, and statistical tools to evaluate clinical, readiness, and performance data

• Leverage structured and unstructured data sources from systems such as MHS GENESIS, MDR, and OMDS to support operational decision support

• Conduct pattern detection, anomaly detection, and risk scoring to improve patient outcomes and deployability forecasts

• Collaborate with stakeholders to define business problems and analytic solutions that align with Navy Medicine's mission

• Build interactive dashboards, modeling outputs, and executive visualizations to communicate findings

• Integrate wearable device data, patient-reported outcomes, and longitudinal datasets into model design

• Support scientific research projects, publish results, and contribute to analytic innovation initiatives

• Promote best practices in data science, data quality assurance, and ethics in health analytics

Knowledge and Skills Required:

• Advanced knowledge of data science principles including machine learning, deep learning, and time series modeling

• Strong foundation in statistics, predictive analytics, and scientific programming

• Familiarity with military and federal healthcare data environments (e.g., MHS GENESIS, JLV, MDR)

• Ability to work with high-dimensional datasets, build reproducible pipelines, and perform complex data transformations

• Strong communication skills for delivering insights to technical and executive stakeholders

Education/Certification Required:

• Bachelor's degree in Biostatistics or Data Science

• Masters in Bioinformatics preferred

Experience Required:

• 6-12 years of experience in data science or predictive analytics in healthcare, life sciences, or public health

• Demonstrated experience developing, validating, and deploying machine learning models

• Experience working in a government or military health data context is strongly preferred

• Experience supporting health system performance or readiness analytics at the enterprise level

Technical Skills Required:

• Expertise in applying ML to EHR data sets

• Experience in Longitudinal data modeling for deployments

Desirable (Not Required) Skills/Experience:

• Experience with real-time data streams or wearable health tech

• Certification in AI/ML, Health Informatics, or Cloud Architecture

• Familiarity with LLMs and generative AI in a healthcare setting

• Publication or peer-reviewed work in biomedical or population health journals

• MHS GENESIS experience preferred

All applicants must be US citizens and currently hold Secret or Higher Clearance. Edera participates in the E-Verify program. Edera is a drug-free workplace.

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