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Field
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PhD or equivalent degree required; Significant experience in behavior testing and bioinformatic data analysis is preferred. Requires successful completion of a background check. Selected candidate may
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experimental procedures. • Data preparation for oral presentations, grant applications and publication in professional journals. • Implementation of bioinformatics approaches. • Conformance to standards
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of Malignant Hematology/Medical Oncology) and UPMC Hillman Cancer Center. This position is supported by an NIH/NIGMS R35 grant and intramural funding. The successful candidate will engage in bioinformatics
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protocols. Successful applicants will, ideally, be in post by 1st September 2025. Person Specification Essential Criteria: Qualifications A good first degree in Biology. A PhD (or be close to submission) in
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letter): PhD. in Genomics, Bioinformatics/Computational Biology or equivalent. Proficiency in molecular biology laboratory techniques. Experience supported by scientific records related to development new
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protocols. Successful applicants will, ideally, be in post by 1st September 2025. Person Specification Essential Criteria: Qualifications A good first degree in Biology. A PhD (or be close to submission) in
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(three years since receiving a PhD degree), or in the final year of a PhD program. The Opportunity: Genentech’s world-class biomedical research organization is recruiting up to four postdoctoral
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
Genome Sciences. Minimum Education and Experience Requirements PhD degree in a discipline related to the area of assignment; or equivalent combination of training and experience. All degrees must be
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, PCR, electrophoresis, cloning etc; CRISPR/Cas construct design, transfections and mutation screening; Bioinformatics incl RNAseq analysis; Genetic pathway reconstruction; Supervision of MSc student
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neurodevelopmental contexts. Conduct rigorous data analysis using bioinformatics tools and frameworks to manage, analyze, and interpret transcriptomic data at multiple scales. Collaborate within a large consortium