Senior Data Scientist, Specialty Networks Solutions

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the design, enhancement, and deployment of impactful real-world data products and advanced analytical solutions for biopharmaceutical partners.

• Establish governed definitions for high-priority derived variables.

• Implement quality control rules for dataset transformation processes, profile both raw and transformed data, and trace anomalies to their root causes.

• Document data pipelines and models, including decision logic at each transformation stage.

• Strengthen data assets and analytical pipelines to ensure production reliability, regulatory defensibility, and reproducibility.

• Evaluate engineering delivery against client and quality standards, addressing any gaps.

• Manage a shared request queue for client and internal analyst inquiries, tracking items with engineering teams.

• Identify opportunities for market growth to enhance both structured and unstructured data pipelines.

• Prioritize workflows to maximize value through product development.

• Standardize common data models, such as OMOP and clinical registries, to expedite real-world evidence extraction.

• Participate in discovery discussions and create prototype dashboards using real data as engineering specifications.

• Conduct listening sessions with biopharmaceutical partner clients.

• Present analytical insights, data methodologies, and strategic recommendations to both technical and non-technical audiences, including senior stakeholders from clients.

⛳️ Requirements

• Over 8 years of experience in data science, advanced analytics, healthcare data, or real-world evidence, with a focus on supporting biopharmaceutical clients.

• Bachelor's degree in a related field or equivalent professional experience is required.

• Proven expertise in working with complex healthcare datasets, including electronic health records (EHR), medical and pharmacy claims, specialty pharmacy data, laboratory and genomic data, and patient identity/tokenization solutions like Datavant.

• Advanced proficiency in SQL and at least one statistical or programming language such as R or Python.

• Experience with modern data platforms, including Databricks.

• Strong knowledge of healthcare data models, clinical concepts, patient journeys, provider and drug mapping, and methodologies for real-world evidence.

• Demonstrated ability to identify, investigate, and resolve complex data quality and system-level issues through rigorous analytical techniques and root-cause analysis.

• Experience in translating business and client requirements into technical specifications and collaborating with engineering teams to deliver scalable data products.

• Proven success in influencing stakeholders and achieving outcomes in highly matrixed, cross-functional organizations.

• Exceptional communication and consulting skills, with the capability to effectively convey complex analytical concepts to both technical and executive audiences.

• Willingness to work within EST or CST business hours as needed.

🏝️ Benefits

• Eligible for bonuses.

• Comprehensive medical, dental, and vision coverage.

• Paid time off plan.

• Health savings account (HSA).

• 401k savings plan.

• Access to wages prior to payday with myFlexPay.

• Flexible spending accounts (FSAs).

• Coverage for short- and long-term disability.

• Resources for work-life balance.

• Paid parental leave.

• Programs promoting a healthy lifestyle.