Job Skills: Programming in R
Are you interested how metabolism affects human health? An exciting opportunity to work in the area of Big Data has arisen for the appointment of a Research Assistant / Associate to support the development of advanced computational workflows for the processing of metabolic data.Using state of the art NMR spectroscopy and Mass Spectrometry, human and other tissues are processed to obtain complex spectra which, through careful analysis can led to many important medical breakthroughs... [More]
We seek a talented, collaborative inter-disciplinary scientist to lead work on the computational analysis of high-dimensional tissue, cell, immune and molecular profiling data in close collaboration with Celgene’s strategic research & development partners. This individual will play a key scientific role leveraging innovative computational analysis strategies to empower data-driven decisions for therapeutic development programs in Celgene’s Research and Development organization. [More]
Affymetrix seeks a talented bioinformatics scientist to join a multidisciplinary team focused on the development and use of genotyping platforms for research, biobank applications, direct-to-consumer genetic testing, and agri-genomics. The successful candidate will contribute to all aspects of the technology, including data mining, oligonucleotide probe design, algorithm development, and data analysis. [More]
We are looking for superstar computational-biologists/bioinformaticists who have a demonstrated experience in a large-scale "production" setting to deploy, maintain and evolve the clinical bioinformatics framework for a high-throughput, ultra-rapid turnaround time, Illumina based whole-genome sequencing setting. [More]
This position is to assist a highly productive lab to analyze cutting edge genomic data relevant to metabolic disease. Specifically, studying mechanisms by which nuclear receptors link the regulation of gene transcription to metabolism. A candidate applying for this position should have a strong background in computer science or bioinformatics and an interest in biomedical research. [More]
The Infectious Diseases Area at the Novartis Institutes for BioMedical Research in Emeryville, CA, is seeking a Bioinformatics Investigator to support preclinical and clinical research towards the discovery and development of new antibacterials and antivirals. The successful candidate will combine molecular biology and bioinformatics expertise with the ability to work closely with experimental biologists in a small, embedded bioinformatics team. [More]
Takeda's summer internship program blends real world experience with an extensive overview of the pharmaceutical industry. Knowledgeable mentors will provide guidance as you gain professional hands-on experience. The summer internship program is 12 weeks in length and offers a unique perspective into a world-class pharmaceutical company. Compensation is competitive, and financed temporary housing is available to those who qualify. [More]
We seek a talented, collaborative inter-disciplinary scientist to catalyze computational analysis of high-dimensional tissue, cell and molecular profiling data to advance Celgene’s patient-focused Molecular Medicine efforts. This individual will play a key scientific role leveraging innovative computational analysis strategies and a wide range of data sources to empower data-driven decisions and improve therapeutic outcomes in complex diseases of unmet medical need. [More]
As a Bioinformatics Data Scientist at Roche Sequencing Santa Clara, you will design and analyze experiments to drive development of our sequencing technology and apply it to a wide range of applications. The successful candidate must be excited about learning new concepts from both life and physical sciences and applying them to an interdisciplinary project. [More]
We are currently looking for a computational biologist to reinforce our global bioinformatics team as a Research Scientist. In the context of cancer and gene target discovery, the post-doctoral position will focus on the development of integrative analysis with multiple sources of OMICS data to identify new candidates. The successful candidate will have a demonstrated experience in handling large-scale genomics, transcriptomic, proteomic data and databases, a strong biostatistics background and a good knowledge of cancer biology. [More]