Senior Manager, Clinical Informatics Solutions, PER

Responsibilities

• Analyze healthcare datasets to identify trends, patient cohorts, and treatment pathways that support Life Sciences clients across therapeutic areas such as oncology, rare diseases, and immunology.
• Collaborate with data science and engineering teams to develop and refine database queries, data pipelines, and processing workflows, incorporating AI/ML methodologies for advanced analytics.
• Apply clinical knowledge and established guidelines (e.g., ACC/AHA, ADA, GOLD, IDSA) to develop disease identification algorithms using ICD-10-CM, NDC, CPT, and LOINC codes across claims, EHR, and pharmacy data sources.
• Routinely perform SQL queries against real-world data (RWD) sources (claims, EHR, lab) to support clinical informatics, algorithm development, or population health analytics.
• Partner with engagement managers and directors to ensure accurate representation of clinical concepts within the data and align insights with client needs.
• Monitor and troubleshoot data quality issues, ensuring the integrity and reliability of insights provided to clients while adhering to regulatory requirements such as HIPAA, GDPR, and FDA RWE guidance.
• Support client engagements by participating in scoping discussions and helping design custom RWD solutions that address key clinical, regulatory, and business questions.
• Lead clinical delivery, working cross-functionally across Business areas within Norstella
• Ad hoc duties as assigned

Qualifications

• Advanced degree (Master’s or Doctorate) in Biostatistics, Epidemiology, Public Health, Pharmacy (PharmD), Medicine (MD/DO), or a related field.
• 5+ years of experience in a clinical care setting, with demonstrated hands-on use of electronic health record (EHR) systems in day-to-day patient care workflows.
• Experience working with and querying large healthcare databases, including claims, EMR/EHR, and laboratory data, in an academic or industry setting.
• Bridges clinical authority and RWD fluency to client relationships, translating firsthand care experience into trusted guidance on data interpretation, clinical algorithm design, and evidence-based analytic approaches.
• Strong understanding of the life sciences industry and the drug development lifecycle, with experience supporting research in clinical development, market access, or health economics and outcomes research (HEOR).
• Familiarity with epidemiological study design and real-world evidence (RWE) methodologies.
• Ability to work collaboratively with cross-functional teams, including AI and data science teams, as well as independently with minimal supervision.
• Strong problem-solving and analytical skills, with attention to detail and the ability to interpret complex healthcare data.

Benefits

• Medical and Prescription Drug Benefits
• Health Savings Accounts (HSA) or Flexible Spending Accounts (FSA)
• Dental & Vision Benefits
• Basic Life and AD&D Benefits
• 401k Retirement Plan with Company Match
• Company Paid Short & Long-Term Disability
• Paid Parental Leave
• Open Vacation Policy & Company Holidays