Data Scientist at Oak Orchard Health

Village of Brockport, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jul, 26

Salary

0.0

Posted On

24 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data science, Machine learning, SQL, Python, Power BI, Predictive modeling, Data analysis, Healthcare analytics, EMR workflows, Regulatory reporting, Data governance, Problem-solving, Communication, HIPAA compliance, UDS reporting, HEDIS

Industry

Hospitals and Health Care

Description

Description Turn Data Into Impact. Help Drive Better Care. At Oak Orchard Health, we believe data is more than numbers—it’s a powerful tool to improve lives. We’re looking for a Data Scientist who is passionate about transforming complex data into meaningful insights that support high-quality, patient-centered care across our communities. In this role, you’ll partner with clinical, financial, quality, and operational teams to build reports, uncover trends, and support smarter decision-making. If you enjoy solving problems, working across teams, and making a real impact in healthcare, this could be a great fit. What You’ll Do: · Support the development and deployment of machine learning models (e.g., regression, classification, clustering, forecasting) to generate predictive insights and inform organizational decision-making · Design and develop reports, interactive dashboards, and automated reporting pipelines using Power BI and Python · Analyze and translate complex data into clear, actionable insights · Write and optimize SQL queries (PostgreSQL, MySQL), including joins, stored procedures, and nested queries · Collaborate with teams across the organization to understand reporting needs and deliver custom reports, dashboards, and analytical views · Support and manage integrations with third-party reporting tools (e.g., Relevant, Azara, BridgeIT) · Maintain user access and serve as a key liaison with external data/reporting partners · Build a strong understanding of EMR workflows to bridge the gap between clinical systems and data infrastructure · Partner with CMO/QAPI on regulatory and grant reporting (UDS, HEDIS, etc.) · Document data sources, definitions, and reporting logic to support organizational knowledge · Validate data quality and reconcile discrepancies between source systems What You Bring: · Bachelor’s degree in Engineering, Data Science, Computer Science or a related field · Experience working with SQL and data analysis tools · Familiarity with Claude Code or Codex · Exposure to integrating machine learning or predictive models into EMR workflows is preferred · Willingness to learn new tools and an interest in leading improvement projects that streamline data flow and strengthen data governance · Strong problem-solving skills and the ability to manage multiple priorities · A proactive, self-driven mindset—you don’t wait for problems, you solve them · Strong communication skills and comfort working with cross-functional teams · Willingness to travel between Oak Orchard locations as needed · HIPAA knowledge and experience handling PHI safely, including de-identification practices · Familiarity with UDS reporting requirements (HRSA) · Experience with HEDIS, MIPS/MACRA, or PCMH quality measures Why Oak Orchard Health? You’ll be part of a mission-driven organization focused on expanding access to quality healthcare across Western New York. Your work will directly support the teams delivering care—and ultimately, the patients we serve every day. Compensation & Benefits · Benefits start the 1st of the month after hire · $0 medical & dental premiums (single HDHP plan) · Retirement plan eligibility Day 1 + 3% match after 90 days · Tuition reimbursement [C1.1]+ eligibility for Public Service Loan Forgiveness (PSLF) · Generous PTO: 5 weeks vacation · 10–11 paid holidays · Employee Assistance Program (EAP) with legal, financial, and counseling support

Responsibilities

The Data Scientist will develop machine learning models and automated reporting pipelines to transform complex data into actionable insights for clinical and operational teams. They will also collaborate with stakeholders to support regulatory reporting and bridge the gap between EMR systems and data infrastructure.