Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
The Computational Pharmacology Group in the Medicine Design Department at Pfizer is seeking a highly motivated Data Engineer or Data Scientist to design and implement cheminformatics approaches and workflows using pharmacology and other data to help accelerate our drug discovery process. The successful candidate will play a pivotal role in unlocking the underlying value of Pfizer’s proprietary pharmacology data. The ideal candidate will design, deploy and automate data pipelines to organize and integrate a variety of data sources of internal and external pharmacology and associated data. The scientist also has the opportunity to develop data analytics tools and workflows that support the decision-making process of drug designers on projects across all of Pfizer’s therapeutic areas. The candidate will be encouraged to present their work internally and at conferences and publish in peer-reviewed journals. With strong communication skills and adept at building productive partnerships, the successful candidate will thrive working in cross-functional teams with talented scientists across different disciplines. The ability to think innovatively, manage complex technical challenges, strong attention to detail, and a drive to problem solving will make this role a success.
ROLE RESPONSIBILITIES
QUALIFICATIONS
Basic Qualifications
Preferred Qualifications
PHYSICAL/MENTAL REQUIREMENTS
Additional Job Information:
Pfizer Inc. is an American multinational pharmaceutical and biotechnology corporation headquartered on 42nd Street in Manhattan, New York City. Pfizer develops and produces medicines and vaccines for immunology, oncology, cardiology, endocrinology, and neurology. The company has several blockbuster drugs or products that each generate more than US$1 billion in annual revenues.
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