Current jobs related to Computational Biology Associate Scientist - Cambridge - PSG Global Solutions
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Scientist in Computational Biology
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Sr. Scientist, Biology
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Associate Scientist in In Vivo Biology
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Group Leader, Computational Biology, Xavier Lab
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Research Scientist
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Cambridge, Massachusetts, United States Sunrise Systems Inc Full time**Job Summary**Sunrise Systems Inc is seeking a highly motivated Associate Research Scientist to support our Discovery Biology research programs at our facility. The ideal candidate will contribute to our discovery pipeline from the bench by taking responsibility for developing, optimizing, and troubleshooting cellular assays to characterize and advance our...
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Cambridge, Massachusetts, United States Flagship Ventures Full timeJoin a Transformative OrganizationImagine being part of a pioneering enterprise that creates and nurtures life sciences companies dedicated to groundbreaking innovations in healthcare. In today's medical landscape, traditional disease diagnosis often involves invasive techniques, such as biopsies, which can be uncomfortable and costly for patients. These...
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Research Scientist, Cell Biology
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Cambridge, Massachusetts, United States FogPharma Full timeAbout the RoleFogPharma is a pioneering biopharmaceutical company that is revolutionizing the medical possibilities for patients by precisely drugging intracellular targets. We are seeking a highly motivated Senior Associate Scientist with experience in cellular and molecular biology techniques for drug discovery.Key ResponsibilitiesDevelop and Perform...
Computational Biology Associate Scientist
1 month ago
Description We're looking for a Computational Biology Associate Scientist , working in Biotechnology/Medical Devices industry in Cambridge . Performs high quality DNA and RNA sequencing data generation in a timely fashion to support all R/D programs that need to take NGS approach to address biological and medical questions. Contributes to an external collaboration focused on the development of novel protocols for the differentiation of induced pluripotent stem cells (iPSC) into terminal cell types suitable for cell-based therapies. Works closely with a cross-disciplinary team of biologists and bioinformatic scientists to apply novel computational techniques. #J-18808-Ljbffr