RWD Analytic Consultant

RWD Analytic Consultant

Location:

Remote, United States

Norstella is a premier and critical global life sciences data and AI solutions provider dedicated to improving patient access to life‑saving therapies. Norstella supports pharmaceutical and biotech companies across the full drug development lifecycle — from pipeline to patient. Our mission is simple: to help our clients bring therapies to market faster and more efficiently, ultimately impacting patient lives.

Norstella unites market‑leading brands - Citeline, Evaluate, MMIT, Panalgo, Skipta and The Dedham Group and delivers must‑have answers and insights, leveraging AI, for critical strategic, clinical, and commercial decision‑making.

We help our clients:

• Accelerate the drug development cycle
• Assess competition and bring the right drugs to market
• Make data‑driven commercial and financial decisions
• Match and recruit patients for clinical trials
• Identify and address barriers to therapies

Norstella serves most pharmaceutical and biotech companies around the world, along with regulators like the FDA, and payers. By providing critical proprietary data supporting AI‑driven workflows, Norstella helps clients make decisions faster and with greater confidence. Norstella’s investments in AI are transforming how data is consumed and decisions are made, disrupting inefficient legacy workflows and helping the industry become more efficient, innovative, and responsive to patient needs.

We are currently seeking a high energy, motivated and passionate expert in RWD and the pharmaceutical industry to join our RWD Engagement Team as a RWD Analytic Consultant to support our delivery of RWD engagements across the life sciences industry. The ideal candidate will be passionate about sleuthing through RWD to unpack insights and answers to some of the most challenging business problems our clients face.

This role’s creation is in reaction to the demand for Norstella’s newest service offerings leveraging Norstella’s unified Real World Data asset, a combination of claims, lab, SDOH and EMR data. You will be joining an organization hard wired for innovation and specialization to meet the high demands of our biopharmaceutical and life sciences client base. You will join a high‑performing team empowered to work creatively to deliver solutions that enable patients to access therapies they need.

This role requires a combination of business acumen, analytical, technical, and commercial expertise to effectively deliver Norstella’s RWD solutions. Our RWD offerings include cutting‑edge data solutions and expert advisory services alongside advanced technologies such as real‑world data, machine learning and predictive analytics. It is critical that an individual in this role has worked in and understands the dynamics of the US healthcare ecosystem.

• Play a crucial role in supporting life sciences analytical use cases by querying and analyzing a wide range of healthcare data sources, including claims, lab results, electronic medical records (EMR), and other real‑world data.
• Utilize SQL and data analysis to enhance our understanding of healthcare trends, optimize patient care, and drive evidence‑based decision‑making.
• Collaborate with cross‑functional teams, including clinicians, data scientists, statisticians, and healthcare professionals, to identify and define analytical requirements and deliver actionable insights.
• Clean, validate, and transform raw data into structured formats suitable for analysis, ensuring data quality and integrity throughout the process.
• Develop and maintain data documentation, including data dictionaries, data mappings, and data lineage, to ensure data transparency and accessibility.
• Translate analytic outputs into consultative business insights.

• 2+ years of professional experience working hands‑on with RWD (e.g., open/closed claims, APLD, lab, EMR/EHR, hospital charge master, billing codes, etc.).
• Understanding of life sciences industry and US healthcare ecosystem.
• Strong problem‑solving and analytical skills, with attention to detail.
• Strong Excel and PowerPoint skills.
• Proficiency in querying…