R-2156 Description At Norstella, we are on a mission to help our clients bring life-saving therapies to market faster and support patients in need. We are seeking a Senior Medical Analyst to join our team and drive data-driven healthcare initiatives. In this role, you will leverage your expertise in healthcare data analytics to extract meaningful insights from real-world data ( RWD ) sources, including claims, laboratory results, billing codes, 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.
About Skipta:
Skipta is the leading social network of online medical communities for verified US healthcare professionals to consult and exchange information within a private and secure platform. Skipta cultivates a community environment of collaboration, integrity, and accountability. Skipta uses their engaged HCP communities to drive engagement for pharmaceutical brands. Skipta offers targeted marketing and advertising opportunities for pharmaceutical brands to drive highly actionable HCP awareness and engagement in a clinically appropriate fashion to engaged specialties.
The Role:
In this role, you will leverage your expertise in healthcare data analytics to extract meaningful insights from real-world data ( RWD ) sources, including claims, laboratory results, billing codes, 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. + 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. + Partner with engagement managers and d To view full details and how to apply, please login or create a Job Seeker account
