The successful candidate will work independently and as part of a research team that is focused on the identification and validation of novel biotherapeutic targets, should have a deep understanding of protein and antibody engineering with a focus on biotherapeutic engineering, and an interest in the development of tumor targeted and conditionally regulated biotherapeutics for solid tumors.
The candidate will be responsible for maintaining proficiency in a breadth of analytical methodologies including HPLC/UPLC, SDS-PAGE, iCE, and CE and applying these methods to a broad range of biotherapeutics for early and late stage products.
Collect and analyzes data from across sources to identify market trends and potentials, competitive forces, penetration strategies, user biases and preferences, and similar parameters of the marketplace.
Must be comfortable working with unstructured data and querying unconventional / unorganized repositories for data sources, capable of finding meaning in those places un - phased by vaguely structured queries
The data scientist will apply knowledge of advanced analytic, data mining, statistics, machine learning, artificial intelligence, and natural language processing techniques to create insights out of complex data in people analytics.
This individual will utilize the entire suite of protein LC-MS/MS detection systems to develop the most reliable measurements for endogenous proteins critical for derisking pathology and investigative toxicology projects.
The primary responsibility is to provide drug product formulation and manufacturing process design expertise in order to deliver the r & d portfolio, including hands-on support for dosage form development activities.
Work closely with other Pearl River or Cambridge Functional Genomics lab personnel, and maintain close and productive interactions with the Functional Genomics lab personnel based in Pearl River or Cambridge.
In this role, you will be working in one of the world's largest and most complex data warehouse environments; you should be passionate about working with huge datasets and be someone who loves to bring data together to answer business questions.