Job Skills: Machine Learning
An exciting opportunity now presents for a Data Scientist to join CEP, positioned within the newly established Manchester Centre for Cancer Biomarker Sciences (MCCBS) Bioinformatics and Biostatistics team (BBS). You will work alongside a multidisciplinary team of clinicians, biologists, chemists and computational scientists to analyse genomics data arising from patient blood samples. [More]
Antibiotic Resistance Action Center at George Washington University Milken Institute School of Public Health is seeking a skilled and collaborative candidate to study microbial genomics in a public health context. Competitive candidates will have experience in the following: 1) Phylogenetic and comparative genomics 2) Development of solutions for large genomic/-omic data analysis. [More]
Responsibilities: The Office of Chief Scientist (OCS) is the nexus of science at EDF, ensuring that the scientific backbone for all EDF policy positions is based on the best available information. To be effective in this role, OCS works with staff from across EDF and provides programmatic support for all EDF scientists as well as fosters relationships with scientists in academia, government and industry [More]
The Bioinformatics Data Scientist is a key member of our core R&D team and essential to the scientific growth of our company. The Bioinformatics Data Scientist will be responsible for developing and applying computational techniques to augment a screening platform designed to discover novel functionalities related to food systems. [More]
Who you are: We are looking for a colleague with extensive experience in computational biology and human genomics to lead a group of computational biologists. This group will tackle problems associated with driving discovery from genomic data while working with our therapeutics group to convert genetic associations into potential drug targets. [More]
Who you are: We are looking for a colleague with extensive experience in computational biology and human genomics. Biological interpretation of the unparalleled wealth of genetic signals requires efficient computational methods that augment our database with public or internally generated high-throughput genomic or functional data. [More]
What you'll do: Generate and execute on novel ideas with little guidance:Use coding skills to dive into new and existing data to support ongoing R&D activities;Collaborate closely with other members of the Health R&D team to generate new ideas, critically evaluate and contribute to existing projects, and build out the R&D portfolio... [More]
Who you are: Successful candidates will work within and across teams to support our research efforts. The job requires strong computational skills, a deep understanding of human genetics, and excellent writing abilities. Candidates for senior positions should also have multiple years of experience leadership and of executing independently developed ideas. [More]
Postdoctoral research associates in bioinformatics / computational biology / machine learning are sought in the group of Prof. Yang Shen in the Department of Electrical and Computer Engineering at Texas A&M University. The NIH-funded project involves algorithm development, application, and case studies for mechanistic understanding of disease-associated gene mutational... [More]
Candidates will receive NIH standard stipend for up to two years to train for independent research skills in translational bioinformatics, by integrating clinical, genomic, and functional genomic data from public/proprietary domains to build predictive models for precision medicine. Opportunity to work with world-class biomedical research collaborators in cancer, autoimmune diseases... [More]