Note: The job is a remote job and is open to candidates in USA. Norstella is a premier global life sciences data and AI solutions platform dedicated to improving patient access to life-saving therapies. The Analytic Consultant, IHD Support will engage clients to leverage the Instant Health Data (IHD) platform, advising on analytic considerations and developing training materials to ensure effective use of IHD for healthcare research needs.
Responsibilities
- Build expertise in the features, benefits, and applications of the Instant Health Data (IHD) platform and new products. Become proficient with a variety of large, complicated healthcare datasets
- Collaborate with clients to understand project requirements and objectives related to health data analysis and provide guidance around implementation in IHD
- Establish a relationship with and provide ongoing support to clients, addressing queries and offering guidance in leveraging data insights effectively
- Develop and present technical trainings, 1-on-1, or small group working sessions with IHD users
- Prepare training materials and documentation for both internal and external audiences
- Collaborate with cross-functional teams on operational processes and client support initiatives, contributing insights from client interactions to support the successful rollout and adoption of new platform features
- Support quality control and protocol development for internal and external research projects, ensuring project outputs align with defined objectives
- All other duties, as assigned
Skills
- Bachelor's or Master's degree in a related field (e.g., Health Informatics, Biostatistics, Epidemiology, Public Health, or a related discipline)
- 2–4 years of relevant experience in outcomes research, health economics, epidemiology, life sciences consulting, analytics, or an academic research setting
- Strong understanding of and experience working with healthcare data and/or real-world data (RWD), such as claims, EHR, hospital, registry data, etc
- Demonstrated analytical, organizational, and creative problem solving with the ability to interpret complex data sets and generate meaningful insights. Experience in utilizing statistical methods for data analysis. Proficiency in statistical software, such as R or Python, is a plus
- Clear, confident communication and presentation skills with the ability to translate technical concepts for non-technical audiences; prior client-facing or customer support experience is a plus
- Demonstrated ability to manage multiple priorities, meet deadlines, and contribute effectively within a collaborative team environment
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