Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Stanford University is seeking a Bioinformatics Engineer to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. You will be
-
The Department of Medicine , Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical
-
FedRAMP-secure environment. Our Team: Our SCGPM bioinformatics team is a multi-disciplinary group composed of about a dozen scientists, engineers, and software developers with complementary backgrounds
-
in human cellular immunology, T cell and Treg biology, genomics, functional genomics, fluorescence-activated cell sorting, and spatial imaging. Bioinformatics: develop or increase proficiency in R
-
* Familiarity with next-generation sequencing library preparation and quality control * Basic bioinformatics skills for analyzing pooled screening data (R or Python preferred) * Experience managing complex multi
-
for widespread recognition of scientific contributions. We value a diversity of values, backgrounds, and approaches to solving problems. The ideal candidate should have expertise in bioinformatics and
-
or chemistry or bioinformatics or bioengineering or biophysics highly desired. The job requires someone who is meticulous, rigorous, and highly organized. He/she must have experience with cell biology
-
or medical school, and/or interested in bioinformatics or medical device industry. This CRCA position is a full-time position and a commitment of at least two years is required. If interested, please apply
-
at the interface between molecular science and computation. Applicants are expected to have earned a Ph.D. degree in computer science, computational biology, bioinformatics, or a related discipline in science
-
methodological approaches to improve the diagnosis, treatment and earlier detection of cancer. He/she will analyze and interpret large sequencing datasets by applying and developing bioinformatics and statistical