Job Skills: RNA-seq
As a computational biologist at Freenome, you will be an integral part of our R&D team, working in collaboration with machine learning specialists to develop the core analysis technology driving Freenome’s mission of early detection and intervention in human disease. You will also work closely with our molecular biologists to evaluate new laboratory methods that can drive improvements in end-to-end assay performance. [More]
The Research Scientist 1, Bioinformatics demonstrates expertise in genomic analyses, preferably with a research background in oncology and/or immunology. This scientist will support projects that aim (i) to identify molecular markers that are predictive of patient response following treatment with Tocagen’s propriety gene therapy technology and (ii) to characterize virus-host interactions, in patients’ tumors and cell culture systems. [More]
The Pinello Lab at Massachusetts General Hospital / Harvard Medical School is looking for Postdoctoral candidates excited about computational challenges in, single-cell analysis and CRISPR genome editing. The candidate(s) will work on interdisciplinary projects developing innovative computational approaches to model next generation sequencing (NGS) data coming from genome editing experiments and/or single cell transcriptomic and epigenomic profiling. [More]
MolecularMatch’s Scientific team is expanding and we are looking for someone with knowledge and experience in Cancer Genomics Bioinformatics. The Bioinformatics Engineer will be involved in our ongoing projects for clinical decision support based on molecular profiling ranging from NGS to mass spec. He/She will gain experience working as part of an interdisciplinary multifunctional project team and exposure to the startup community in Houston. [More]
You will work with a world-class, dynamic team of bioinformatics scientists, software engineers, laboratory scientists, assay developers, product managers, and clinicians applying our cutting-edge cancer and immuno-oncology solutions to plan, manage, analyze, and interpret impactful collaborative R&D projects. [More]
The Institute of Health Informatics in the University of Minnesota is seeking 2 masters or Ph.D level Bioinformaticians to join a team working on multiple basic and clinical research projects in the field of sequencing technology, genome research and human diseases. The positions are an annually renewable professional academic appointments. [More]
We are seeking a highly motivated bioinformatician to join our Translational Bioinformatics Oncology/Immuno-Oncology team. The successful candidate will help advance Bristol-Myers Squibb’s industry leading O/IO pipeline through the strategic application of cutting edge bioinformatics approaches. This team interacts with and influences all aspects of Oncology/Immuno-Oncology at BMS from early discovery through late stage development. [More]
We seek a talented, collaborative inter-disciplinary scientist to catalyze computational analysis of clinical and molecular high-dimensional profiling data to advance Celgene’s patient-focused Translational Development efforts. This individual will play a key scientific role leveraging innovative computational and statistical 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]
This position fulfills a critical role within Translational Science. We are looking for an exceptional bioinformatics scientist with expertise in immuno-oncology research to apply state of the art genomics/genetics analytical approaches to help with understanding of disease mechanism, genetic variants, biological pathways, and predictive biomarkers with the ultimate goal of developing therapies. [More]
Seeking a talented and highly motivated Bioinformatics Research Scientist to develop, optimize, and implement data analysis pipelines and analytical tools that enable comprehensive tumor genomic profiling for cancer biology research and clinical applications. PRIMARY RESPONSIBILITIES AND DUTIES: Process, analyze and interpret high volumes of data as part of collaborative research projects. Develop automated methods and software to support large-scale bioinformatics analysis... [More]