We are looking for a Computational Biologist to drive the cancer target discovery and patient stratification efforts through analysis of large-scale datasets from functional genomics screens, genomics profiling of clinical and pre-clinical samples using diverse technologies incorporating network and pathway data.  [More]

Originally posted on 2017-07-19

We are looking for a talented and highly motivated Computational Biologist/Bioinformatics Scientist to develop and implement computational immune oncology (IO) methods supporting the discovery of novel immune oncology targets and biomarkers. The scientist will work closely with the immune oncology research team, developing methods for the analysis of immune phenotyping data from pre-clinical models and clinical samples. [More]

Originally posted on 2017-02-26
2017-02-25  -  Postdoctoral Fellow at Pfizer San Diego, CA  -    -  

Pfizer Oncology Computational Biology group (La Jolla, CA) is seeking a highly motivated postdoctoral fellow to join our team. This postdoc will work on clinical cancer multi-omics and immune oncology profiling studies aimed to elucidate the molecular bases of drug treatment response and resistance using multi-platform datasets in a highly collaborative environment with clinicians, biologists and statisticians. [More]

Originally posted on 2017-02-26
2017-02-17  -  Computational Biologist  -    -  

The Computational Biologist will work closely with colleagues within the Systems Immunology function as well as project teams and partner lines to inform the I&I drug discovery pipeline based on integration and analysis of omics scale datasets, e.g. RNASeq, genetics, FACS/cyTOF. The Computational Biologist will internalize (or design) and apply fit-for-purpose computational approaches to understand immune dysfunction in patients and work towards hypotheses for therapeutic mechanisms. [More]

Originally posted on 2017-02-18
2017-01-05  -  Computational Biologist, Oncology Research  -    -  

We are looking for a talented and highly motivated Computational Biologist/Bioinformatics Scientist to develop computational methods for analysis of high-throughput data from Functional Genomics screens using shRNA and CRISPR technologies supporting discovery of novel oncology targets. The scientist will work closely with a functional genomics lab team to design and evaluate novel screening approaches. [More]

Originally posted on 2017-01-05
2016-12-26  -  Computational Biologist, Oncology Research  -    -  

We are looking for a talented and highly motivated Computational Biologist/Bioinformatics Scientist to develop computational methods for analysis of high-throughput data from Functional Genomics screens using shRNA and CRISPR technologies supporting discovery of novel oncology targets. The scientist will work closely with a functional genomics lab team to design and evaluate novel screening approaches. [More]

Originally posted on 2016-12-26

In Computational Biology, Biological Sciences, Bioinformatics, Computer Science, Applied Mathematics or other natural science required;...From Indeed - Thu, 20 Oct 2016 14:53:52 GMT - View all Cambridge jobs [More]

Originally posted on 2016-10-20

In Computational Biology, Biological Sciences, Bioinformatics, Computer Science, Applied Mathematics or other natural science required;...From Indeed - Tue, 18 Oct 2016 18:41:34 GMT - View all Cambridge jobs [More]

Originally posted on 2016-10-18

Contribute to and direct matrix computational teams to achieve goals on disease area projects, drawing on the broader skillsets of colleagues within Human...From Indeed - Tue, 18 Oct 2016 20:17:08 GMT - View all Cambridge jobs [More]

Originally posted on 2016-10-18

Bioinformatics expert to join the Global Biotherapeutic Technologies organization at Pfizer. The successful candidate will join a small team of computational biochemists and software engineers located in Cambridge, Massachusetts developing and using a broad array of computational tools to support cutting edge approaches for early stage biotherapeutic discovery.  [More]

Originally posted on 2015-12-08