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CINQCARE · 2 months ago

Senior Healthcare Data Scientist - AI/ML

United States

Full-time

Onsite

Senior Level

$130K/yr - $160K/yr

7+ years exp

CINQCARE is a provider-led, community-based health and care partner dedicated to improving health outcomes for high-needs communities. The Senior Healthcare Data Scientist will design and deliver advanced machine learning and analytics solutions to inform personalized care programs, manage predictive models, and translate data into actionable insights for decision-making.

CommunitiesHealth CareHome Health CareMedical

H1B Sponsor Likely

Responsibilities

Design, curate, and maintain analytical datasets by integrating EHRs, claims, engagement data (e.g., Salesforce Health Cloud), third-party SDOH sources, and commercial data (e.g., Neustar, Acxiom)

Build, evaluate, and manage predictive models (classification, regression, NLP, time series, survival analysis, agentic modeling) to stratify risk, improve targeting, and predict engagement

Manage the full model lifecycle — from development through deployment, monitoring, retraining, and drift detection — ensuring production reliability

Apply fairness, bias mitigation, and explainability frameworks to ensure models are equitable and trustworthy

Use What-If scenario modeling and simulations to support clinical and business decision-making

Integrate engagement data into continuous feedback loops that refine model performance and responsiveness

Translate complex analyses into clear, compelling stories and insights for clinicians, engagement teams, executives, and community leaders

Develop dashboards, reports, and self-service analytics tools for use across CINQCARE teams

Partner with engineering teams for scalable deployment using modern MLOps practices

Collaborate cross-functionally with clinicians, engagement specialists, and leadership to ensure data science aligns with CINQCARE’s purpose and performance priorities

Research, test, and apply emerging methods (e.g., generative AI, causal inference, federated learning) relevant to community-based care and health equity

Qualification

Predictive modelingMachine learning frameworksData storytellingPythonSQLNLPMLOps practicesCloud platformsData visualizationAccountabilityCommunication skillsCollaborationOwnership

Required

Master's or PhD in Data Science, Statistics, Computer Science, Economics, or related quantitative field; Bachelor's with significant applied experience considered

Minimum 7 years of applied data science experience, ideally in healthcare, public health, insurance, or digital health

Demonstrated ability to design, deploy, and manage predictive models in production

Strong expertise in Python, SQL, and ML frameworks (scikit-learn, XGBoost, TensorFlow, PyTorch)

Experience with NLP, time series modeling, and advanced MLOps practices

Familiarity with cloud platforms (Azure preferred; AWS/GCP acceptable)

Proficiency with visualization tools (Tableau, Power BI, Plotly, Dash)

Exceptional communication and data storytelling skills for technical and non-technical stakeholders

Purpose-driven mindset with demonstrated ownership, accountability, and ability to thrive in collaborative, cross-functional teams

Benefits

Medical Plans: Two comprehensive options offered to Team members.

401K: 4% employer match for your future.

Dental & Vision: Flexible plans with in-network savings.

Paid Time Off: Generous PTO, holidays, and wellness time.

Extras: Pet insurance, commuter benefits, mileage reimbursement, CME for providers, and company-provided phones for field staff.

Company

CINQCARE

Health and Care, wherever you live, to those who need care the most.

Founded in 2021

Buffalo, New York, USA

201-500 employees

https://cinq.care

H1B Sponsorship

CINQCARE has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (1)

2022 (1)