Data Scientist — Clinical Analytics & Automation

OneOncology • Huntsville, AL

4d

About The Position

Clearview Cancer Institute is north Alabama's leading cancer treatment facility. For over 30 years Clearview Cancer Institute has provided leading-edge treatment and compassionate care to those diagnosed with cancer or blood disorders. Clearview offers every service and amenity needed in an outpatient setting and our dedication to research and involvement in Phase I-IV clinical trials gives our patients the opportunity to receive potentially life-saving treatment options. Why Join Us? We are looking for talented and highly-motivated individuals who demonstrate a natural desire to support the meaningful work of community oncologists and the patients we serve. Job Description: Responsibilities Clinical Analytics Build and evaluate predictive models to support clinical decision-making, including patient risk stratification, readmission prediction, care gap identification, and chronic disease management. Analyze EHR data, claims data, scheduling data, and operational metrics to surface actionable insights for clinical and administrative leadership. Support population health initiatives by identifying high-risk patient cohorts and modeling intervention effectiveness. Contribute to revenue cycle analytics including denial prediction, coding accuracy analysis, and patient financial risk modeling. Design and analyze operational experiments to measure the impact of workflow, staffing, or care protocol changes. Report Automation & Data Pipelines Design, build, and maintain automated reporting pipelines that deliver scheduled clinical, operational, and financial reports to stakeholders with minimal manual intervention. Migrate recurring manual Excel or ad-hoc reports into scalable, version-controlled Python or SQL-based automated workflows. Develop and maintain ETL/ELT processes to extract data from Onco by Flatiron, practice management platforms, and other source systems, transforming it into analysis-ready datasets. Build self-service dashboards and automated alerting in Power BI, Tableau, or similar tools, enabling clinical and operational teams to monitor key metrics in near real-time. Implement data quality checks and validation steps within pipelines to catch anomalies, missing records, or upstream data issues before they reach end users. Document pipeline logic, data lineage, refresh schedules, and business rules to support auditability and knowledge transfer. Workflow & Task Automation Identify manual, repetitive data and reporting tasks across clinical and operational teams and develop automated solutions to reduce burden and improve accuracy. Build Python or PowerShell scripts to automate file transfers, data reconciliation, report distribution, and other routine operational workflows. Collaborate with IT and clinical informatics teams to integrate automation solutions with EHR APIs, SFTP feeds, and internal data warehouses. Support automation of quality measure reporting submissions (HEDIS, MIPS/MACRA) and regulatory data extracts. Evaluate and recommend low-code/no-code automation tools (e.g., Power Automate) where appropriate for non-technical stakeholders. Collaboration & Compliance Partner with clinical informatics and data engineering teams to access, validate, and transform data from our oncology EHR platform (Onco by Flatiron) and other source systems. Ensure all analytical work and automated workflows adhere to HIPAA regulations, data governance policies, and institutional IRB requirements. Maintain well-documented, reproducible code in a shared repository; actively participate in peer code reviews and sprint planning.

Requirements

• 1–5 years of professional experience in data science, clinical analytics, health informatics, or a closely related field.
• Bachelor's or Master's degree in Biostatistics, Health Informatics, Computer Science, Statistics, or a related quantitative discipline — or equivalent experience.
• Proficiency in Python and SQL, including experience building automated data pipelines and scheduled reporting workflows.
• Working knowledge of machine learning methods including regression, classification, ensemble models, and survival analysis.
• Familiarity with healthcare data standards and structures such as HL7, FHIR, ICD-10, CPT, and SNOMED.
• Understanding of HIPAA compliance requirements and responsible handling of protected health information (PHI).
• Experience working with oncology or specialty EHR-generated datasets, including comfort with real-world clinical data complexity.
• Experience building or maintaining dashboards and reports in Power BI, Tableau, or equivalent BI tools.
• Ability to communicate technical findings and workflow designs clearly to clinical and non-technical audiences.
• Comfort with Git or similar version control tools in a collaborative development setting.

Nice To Haves

• Hands-on experience with Onco by Flatiron or other oncology-focused EHR platforms.
• Experience with task automation tools such as Power Automate, Apache Airflow, or similar workflow orchestration platforms.
• Familiarity with cloud-based healthcare analytics platforms (Azure Health Data Services, AWS HealthLake, Google Cloud Healthcare API).
• Experience with NLP techniques applied to clinical notes or unstructured medical text.
• Knowledge of value-based care models, quality measure reporting (HEDIS, MIPS/MACRA), or ACO analytics.
• Familiarity with oncology-specific data concepts such as treatment regimens, staging, clinical trial enrollment, and cancer registry reporting.
• Familiarity with IRB processes and clinical research data workflows.

Responsibilities

• Clinical Analytics Build and evaluate predictive models to support clinical decision-making, including patient risk stratification, readmission prediction, care gap identification, and chronic disease management.
• Analyze EHR data, claims data, scheduling data, and operational metrics to surface actionable insights for clinical and administrative leadership.
• Support population health initiatives by identifying high-risk patient cohorts and modeling intervention effectiveness.
• Contribute to revenue cycle analytics including denial prediction, coding accuracy analysis, and patient financial risk modeling.
• Design and analyze operational experiments to measure the impact of workflow, staffing, or care protocol changes.
• Report Automation & Data Pipelines Design, build, and maintain automated reporting pipelines that deliver scheduled clinical, operational, and financial reports to stakeholders with minimal manual intervention.
• Migrate recurring manual Excel or ad-hoc reports into scalable, version-controlled Python or SQL-based automated workflows.
• Develop and maintain ETL/ELT processes to extract data from Onco by Flatiron, practice management platforms, and other source systems, transforming it into analysis-ready datasets.
• Build self-service dashboards and automated alerting in Power BI, Tableau, or similar tools, enabling clinical and operational teams to monitor key metrics in near real-time.
• Implement data quality checks and validation steps within pipelines to catch anomalies, missing records, or upstream data issues before they reach end users.
• Document pipeline logic, data lineage, refresh schedules, and business rules to support auditability and knowledge transfer.
• Workflow & Task Automation Identify manual, repetitive data and reporting tasks across clinical and operational teams and develop automated solutions to reduce burden and improve accuracy.
• Build Python or PowerShell scripts to automate file transfers, data reconciliation, report distribution, and other routine operational workflows.
• Collaborate with IT and clinical informatics teams to integrate automation solutions with EHR APIs, SFTP feeds, and internal data warehouses.
• Support automation of quality measure reporting submissions (HEDIS, MIPS/MACRA) and regulatory data extracts.
• Evaluate and recommend low-code/no-code automation tools (e.g., Power Automate) where appropriate for non-technical stakeholders.
• Collaboration & Compliance Partner with clinical informatics and data engineering teams to access, validate, and transform data from our oncology EHR platform (Onco by Flatiron) and other source systems.
• Ensure all analytical work and automated workflows adhere to HIPAA regulations, data governance policies, and institutional IRB requirements.
• Maintain well-documented, reproducible code in a shared repository; actively participate in peer code reviews and sprint planning.

Benefits

• Competitive salary, bonus, and comprehensive benefits including medical, dental, vision, and retirement.
• The opportunity to do meaningful work that directly impacts patient care and clinical outcomes.
• Mentorship from experienced data scientists and clinical informatics professionals.
• Access to diverse, large-scale clinical datasets across a multi-site care network.
• Support for professional development including certification reimbursement and conference attendance.
• Collaborative, mission-driven culture with a strong commitment to health equity and innovation.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level