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 Data Scientist - Intermediate will directly support client delivery with a focus on advanced analytics, modeling, and data science techniques to improve Navy Medicine's operational readiness, decision support, and health outcomes. This role requires a strong background in clinical and operational data interpretation, predictive analytics, and the ability to collaborate with stakeholders from the Defense Health Agency (DHA), BUMED, and Naval operational units to deliver actionable insights from complex health and readiness datasets.

Type of Employment: Full-time, W2

Work Location/Travel: Remote with up to 25% travel to client sites including Navy installations; relocation not required

Salary Range: $105,000-$120,000 annually (W2, based on education, experience, and geographic location)

Role Reports to: Project Manager

Direct Reports: This role has no direct reports

Responsibilities:

• Perform advanced analytics, predictive modeling, and outcome forecasting to support medical readiness and healthcare-related use cases.

• Develop, implement, and validate statistical and machine learning models tailored to operational and clinical decision-making.

• Work with cross-functional teams to integrate models into JOMIS (Joint Operational Medical Information System) and PARATUS frameworks.

• Translate complex datasets into actionable insights through visualization, reporting, and data storytelling.

• Collaborate with subject matter experts, data engineers, and IT teams to refine data pipelines and optimize model performance.

• Contribute to continuous model monitoring, documentation, and iterative improvement processes.

Knowledge and Skills Required:

• Deep understanding of predictive analysis, statistical modeling, and applied machine learning techniques.

• Proficient in communicating technical information to diverse audiences, including stakeholders and non-technical team members.

• Strong knowledge of health IT systems and the role of analytics in clinical and operational healthcare settings.

• Ability to manage multiple tasks and projects while maintaining attention to detail and meeting deadlines.

Education/Certification Required:

• Bachelor's Degree in Computer Science, Applied Mathematics, Statistics, or a related field.

Experience Required:

• Candidates should have 6 to 12 years of progressive experience in predictive modeling, healthcare analytics, and applied machine learning. This includes demonstrated expertise in developing and implementing analytical solutions within health IT environments. Experience should reflect the ability to apply advanced statistical techniques to real-world medical or operational readiness challenges, ideally within complex or regulated data systems. Familiarity with integrating models into enterprise frameworks, such as JOMIS or PARATUS, is highly valuable, along with a strong track record of translating data insights into actionable outcomes in clinical or operational settings.

Technical Skills Required:

• Proficient in R, Python, or relevant machine learning libraries (e.g., scikit-learn, TensorFlow).

• Experience with statistical model development and validation in real-world healthcare settings.

• Familiarity with JOMIS, PARATUS, or similar military/clinical information systems is a strong asset.

• Experience with data visualization tools and version control systems.

Desirable (Not Required) Skills/Experience:

• Certification in AI/ML, Data Science, or Health Informatics

• Experience with wearable device data, patient-reported outcomes, or NLP of clinical notes

• Familiarity with Large Language Models (LLMs) and generative AI use cases in health

• Agile/Scrum or Lean Six Sigma certification

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.

Edera is an Equal Opportunity and Affirmative Action Employer. Edera prohibits discrimination against individuals based on their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other category protected by law. Edera takes affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, disability, or veteran status.