The selected candidate will serve as an integral developer of new experimental genomic workflows. He or she will work as part of cross-functional teams composed of engineers and experimental and computational biologists.
The candidate will be an essential member of the CTI-Boston Biology Group. He or she will be able to work independently and creatively to design and execute key experiments to address the basic and translational biology of novel drug targets, their molecular pathways, and their connection to human disease. The candidate will be expected to support projects in one or more therapeutic areas of interest to Pfizer including Immunology, Oncology, Immuno-Oncology, Neurodegenerative Disease, and others.
In this role, you will develop and perform cell-based assays to assess the impact of small molecule inhibitors, shRNA-based knockdowns, or CRISPR-based knockouts on cell proliferation/differentiation, as well as pathway-based bio markers.
This position will be part of Pharmaceutical Research and Development within BioTherapeutics Pharmaceutical Sciences. The Scientist will participate in the development of parenteral formulations for biologics modalities such as monoclonal antibodies, antibody drug conjugates, proteins, vaccines, cell-based therapies and viral vectors for genomic therapeutics.
In this role, the selected candidate will research, develop, and implement advanced algorithms for unique applications in Computational Pathology; primary responsibilities include: Medical imaging algorithm R&D, system design, and software development.
In this role, the selected candidate will perform metabolite extractions on biological samples including cells and tissue samples; maintain and troubleshoot U-HPLC, full-scan and QQQ mass spectrometers.
The individual will play a key role in developing the next generation immunogenicity risk assessment tools for lead biologics across diverse therapeutic areas and modalities utilizing cell-based in vitro assays.
In this role, you will work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazons heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.
In this role, the selected candidate will utilize statistical and machine learning techniques to aide in the interpretation of quantitative genomic data; develop analysis pipelines to process next generation sequencing and other quantitative genomic data.
The MIT Joint Program is developing advanced modeling frameworks to study economic and environmental implications of climate policies and their impacts on different sectors, including agriculture, energy, and transportation.