Senior Manager, Clinical Informatics Solutions, PER

Norstella

$110K — $118K *
US-AnywhereRemote in United States
Pharmaceuticals & Biotech
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Advanced degree in Biostatistics, Epidemiology, Public Health, Pharmacy, Medicine, or related field.
  • 5+ years of clinical care experience, particularly with EHR systems.
  • Experience in querying large healthcare databases in academic or industry settings.
  • Strong clinical authority and fluency in real-world data interpretation.
  • In-depth understanding of the life sciences industry and drug development lifecycle.
  • Familiarity with epidemiological study design and real-world evidence methodologies.
  • Ability to work independently and collaboratively across teams.

Responsibilities

  • Analyze healthcare datasets to identify patient cohorts and treatment pathways.
  • Collaborate with data science teams to enhance database queries and workflows with AI/ML methods.
  • Develop algorithms for disease identification using established clinical guidelines.
  • Perform SQL queries on real-world data to support analytics needs.
  • Partner with engagement managers to align clinical insights with client goals.
  • Ensure data quality by monitoring issues and adhering to regulatory standards.
  • Engage with clients to design custom RWD solutions for clinical and business challenges.

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
Full Job Description
Job description:

As Senior Manager, Clinical Informatics Solutions, Patient Engagement and Recruitment, you will act as clinical oversight to Citeline's Patient Engagement and Recruitment product suite, leveraging expertise in healthcare data analytics to extract meaningful insights from real-world data (RWD) sources, including medical and pharmacy claims, laboratory results, and electronic health records (EHRs). You will be responsible for translating clinical and medical data requests into structured queries, ensuring that extracted data aligns with research, regulatory, and business objectives. This role is critical in ensuring our clients receive accurate, clinically relevant, and actionable insights to drive data-informed decisions in drug development, market access, and patient care strategies.

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.
  • Brings 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

Please Note - All candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa.

The expected base salary for this position ranges from $110,000 to $118,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus.

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