Role overview
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare's greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
As a Senior Machine Learning Engineer, you will focus on the design and implementation of high-performance predictive models using structured and semi-structured healthcare data. You will bridge the gap between statistical research and production-grade software, turning raw clinical and claims data into actionable predictions that improve patient outcomes and operational efficiency.
What you'll work on
- Model Development: Design, train, and optimize classical ML models (Classification, Regression, Clustering, Time-Series) for healthcare use cases.
- Feature Engineering: Architect and maintain advanced feature pipelines and feature stores to ensure the most relevant signals are extracted from complex claims data.
- End-to-End Deployment: Manage the full ML lifecycle, from exploratory data analysis (EDA) and hyperparameter tuning to deploying models as high-availability microservices.
- Software Engineering: Write robust, production-ready Python code, ensuring that ML components integrate seamlessly with our core healthcare platforms.
- Performance & Validation: Conduct rigorous statistical validation of models to ensure accuracy, fairness, and the absence of bias, particularly in clinical decision-support tools.
- On-Call & MLOps: Participate in an on-call rotation to support production pipelines. Advance CI/CD frameworks specifically for ML (Model CI), ensuring seamless retraining and redeployment.
- Compliance: Lead audits and ensure all ML workflows strictly adhere to HIPAA and Inovalon's internal data governance policies.
What we're looking for
- Analytical Rigor: A data-first mindset that prioritizes statistical validity over "black-box" approaches.
- Mentorship: Experience guiding junior engineers in best practices for code reviews and experiment tracking.
- Collaborative Spirit: The ability to explain complex model outputs to non-technical stakeholders (Product Managers, Clinicians).
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don't meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
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