Job Description
We are a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. Our company’s Information Technology division partners with colleagues across the business to help serve our patients and customers around the world. Ours is a high-energy team of dynamic, innovative individuals dedicated to advancing our contribution to global medical innovation by leveraging information and technology to efficiently advance the business by driving revenue and productivity. Our Team We are seeking a data scientist for the Clinical Data Science Realization Team (DSRT) within the Data Science and Scientific Informatics (DSSI) Value Team at our Research Laboratories IT division. Our DSRT team’s focus is on delivering end-to-end and scalable data science and AI solutions, as well as applications in the clinical trials domain. We collaborate with various business stakeholders to transform their hypotheses and questions into machine learning models. Additionally, we build or help develop applications that enable these models to be deployed in everyday business operations. We also work closely with other data science, AI, and MLOps teams within the value team, as well as other IT teams, to ensure seamless cooperation. Our work combines consultancy, computer engineering, and statistics, and spans a broad range of machine learning, technology, and business areas. How the job will look-like: You will join one or two starting or ongoing projects within the clinical domain You will define your role and take ownership of a part of a larger project or lead a smaller project end-to-end Your work will combine machine learning and engineering (Python, R, PySpark) with consultancy and business acumen You will build your business, data science, and technical expertise while establishing your position within the team and the clinical domain You will work with AI both as part of project delivery and as a tool to support your own work In addition to project work, you will have the opportunity to contribute to community seminars and broader team initiatives What do we expect from the candidates? Degree in mathematics, statistics, machine learning, computer science, or other related engineering areas Skilled in translating business issues into applied math and engineering solutions Proficient in Python or R