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Senior Analyst - Rare Diseases (US, Remote) (2154164141)

Computer and Mathematical

Backend Engineer - Remote

Yearly

No

New York, New York, United States

Who Are We ? CitiusTech is a leader in HealthCare innovation. We work with over 120 medical technology, provider, payer and life sciences companies across the US. We are rated among top 100 Best Companies to Work For 8 years in a row and consistently achieved the highest NPS in the Industry. The Healthcare Digital Innovation team at CitiusTech is helping our healthcare customers transition into the Digital world across key digital themes including Virtual care, Personalized Care, RPM/IoT & Patient Engagement . We help customers by harnessing the power of digital technologies including AI/ML, RPA, Interop, Mobility and Cloud across a multi-disciplinary team. The goal is to bring in a human centric approach to Digital Health. Job Description : Develops and maintains deep expertise in past, current and anticipated therapeutic area issues, industry trends, competitor products, and future pipeline products. Utilizes market knowledge to support brand team strategy and ensure market research and analytics are incorporated into all business planning processes Identify and work with Raw data to derive critical business and commercial insights on Rare Disease Market Develop Intelligence on Rare disease Patient Cohorts and enable Brand teams to successfully launch Orphan Drugs Build and apply an understanding of drug development and commercialization, including the dynamics in niche markets and rare diseases. Critically analyze clinical data and commercial information from several sources to evaluate market trends, assess opportunity, and build market forecasts. Closely work with R&D and commercial teams to provide relevant business insights and effectively articulate Potential Market Value of the orphan drug. Must Have : Has a good knowledge of the rare disease market with understanding modern therapies in the industry Possesses an understanding of business and commercial insights needed to support an end to end rare disease/orphan drug product life cycle Has a knack of understanding key business challenges and provide simple effective analytical solutions to business stake holders Has a good understanding of various data sources needed (like claims, clinical, IQVIA, commercial data) to derive intelligence Has Experience in launching an orphan drug into commercial markets Good to Have: Has an understanding of Genomic Data Has a good understanding of Digital solutions that can aid patients and doctors treating Rare Diseases Has a high level knowledge of ML and Data Mining techniques to generate insights from Data What we are looking for: Masters in a premium educational institution Minimum ten years of experience in Business Analysis with 3-4 years working in Pharma / Rare Diseases Powered by JazzHR jSr8fixoFE