Job description

Why Join CINQCARE? CINQCARE is a provider-led, community-based health and care partner dedicated to improving the health and well-being of those who need care the most, with a deep commitment to high-needs, urban and rural communities. Our local physicians, nurses, and caregivers work together to serve people and the communities they live in, beyond just treating symptoms. We remove barriers by delivering personalized care as close to home as possible, often in-home, because we know a deep understanding of our patient’s race, culture, and environment is critical to delivering improved health outcomes. By empowering patients, providers, and caregivers with the support they need, we strive to make health and care a reality—not a burden—every single day. Join us in creating a better way to care. Position Overview CINQCARE is redefining how health and care are delivered, starting where trust begins: the community. The Senior Healthcare Data Scientist will be a key member of the Analytics & AI team, responsible for designing and delivering advanced machine learning and analytics solutions that directly inform CINQCARE’s personalized care programs and outreach. This role blends technical expertise with strategic impact — developing predictive models, managing full model lifecycles, and translating data into actionable insights that guide engagement, care delivery, and organizational decision-making. The Senior Healthcare Data Scientist will also drive innovation by testing emerging techniques and ensuring all solutions meet CINQCARE’s standards for equity, fairness, and health impact. Key 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. Required Qualifications • 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. Our Benefits At CINQCARE, we care for our team like we care for our patients—holistically. We offer flexible, comprehensive benefits so you can thrive while delivering top-notch care. • 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. The working environment and physical requirements of the job include: In-office work is performed indoors in a traditional office setting with conditioned air, artificial light, and an open workspace. In this position you will need an to communicate with customers, vendors, management, and other co-workers in person and over devices, sometimes with people who are agitated. Regular use of the telephone and e-mail for communication is essential. Sitting for extended periods is common. Must be able to receive ordinary information and to prepare or inspect documents. Lifting of up to 10 lbs. occasionally may be required. Good manual dexterity for the use of common office equipment such as computer terminals, calculator, copiers, and FAX machines. Good reasoning ability is important. Able to understand and utilize management reports, memos, and other documents to conduct business. Equal Opportunity & Reasonable Accommodation Statement CINQCARE is an Equal Opportunity Employer committed to creating an inclusive environment for all employees. We provide equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law. If you require a reasonable accommodation during the application or employment process, please indicate this in your application or speak with your recruiter during the hiring process. Disclaimer This job description is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Management reserves the right to modify, add, or remove duties as necessary. This is a remote position.

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