AI Product Researcher - Data Science
JellyfishFull Time
Junior (1 to 2 years)
Candidates must have a minimum of 5 years of experience in product management, with a focus on clinical research technology. A deep understanding of clinical data management, AI technologies, and predictive modeling, including regression, classification, NLP, and deep learning, is required. Familiarity with agile development methodologies and regulatory standards in clinical research is essential. The position is open to candidates based in the US on the east coast or in the United Kingdom.
The Lead Product Manager will develop and execute the product strategy and roadmap for a clinical research forecasting platform, ensuring alignment with business objectives and customer needs. This role involves leading cross-functional teams to deliver user-centric software solutions, translating complex business requirements into detailed product specifications and user stories, and driving agile product development. Responsibilities also include leveraging AI and advanced analytics to enhance clinical data capabilities and improve operational efficiencies, conducting industry research and competitor analysis, and staying abreast of industry trends and regulatory changes in clinical research technology.
Provides life sciences products and services
Thermo Fisher Scientific offers a variety of products and services that support scientific research and healthcare, including laboratory equipment, reagents, and software solutions. Their products are used in applications like protein biology, real-time PCR, and sequencing, serving clients such as academic institutions and pharmaceutical companies. Unlike competitors, Thermo Fisher emphasizes customer support and education, helping clients optimize their experiments. The company's goal is to be a leading provider of life sciences solutions that contribute to a healthier and safer world.