Our client is a top pharmaseutical company with 100+ years of history. They have business across 100+ countries , and their products save millions of people's life.

• Partner with research scientists and other data experts to identify and address data analysis needs in drug project teams for the purposes of target validation, lead optimization, and clinical trial design
• Provide in depth literature analysis, focusing on biology, medicine, patent, competitor information, clinical trial, and real world data.
• Identify top researchers and evaluate external opportunities for a given disease area or technology field.
• Identify relevant information sources and apply a variety of tools and techniques to extract relevant information, perform data analysis, create visualizations and reports, and present findings and recommendations.
• Apply deep learning/machine learning/AI in the area of text and data mining.

• You have a Ph.D. degree or equivalent education and work experience in life science, preferably in the pharmaceutical industry. Additionally you bring the following skills:
• Excellent knowledge in natural sciences, preferably such as Pharmacology, Medicine, Biology, and Chemistry
• Experience in data-related sciences such as Text Analytics, Computational Biology, Bioinformatics, Computational Chemistry, Statistics, Applied Mathematics, Computer Science, and Physics
• Experience with information hosts and platforms like ProQuest, STN, Cortellis Analytics, and other key competitor and biomedical information sources
• Strong text analytical skills and being able to process, visualize and present results
• Knowledge of tools like Pipeline Pilot, Spotfire, Cytoscape, Linguamatics I2E as well as the knowledge of public domain standard terminologies (e.g. MeSH, UMLS, MeDRA and ICDDC-10)