Company Description Join us and make YOUR mark on the World!Are you interested in joining some of the brightest talent in the world to strengthen the United States security?

We are looking for a researcher to join our team of doctoral, post-doctoral, and senior researchers as soon as possible. This is a full-time position with an anticipated start date of March 1st, 2024 (negotiable). The position is based at ETH Zurich, Switzerland. You will join the Animal Genomics group led by Hubert Pausch.

As a Software Engineer specializing in Next Generation Sequencing Bioinformatics at Roche Diagnostics, you will play a critical role in designing, developing, and optimizing cutting-edge algorithms to extract meaningful insights from genomic data. This position offers a unique opportunity to work on innovative projects that impact the fields of diagnostics and precision medicine. You will work closely with cross-functional teams of biologists, data scientists, and software engineers to build robust, scalable, and efficient software solutions.

The Computational Biologist participates in developing, improving and maintaining bioinformatics tools for high-throughput processing pipelines. The Computational Biologist specifies, implements, tests and maintains bioinformatics computer applications and systems, and participates in the code walk-throughs and design and review of bioinformatics software solutions.

The Computational Biologist participates in developing, improving and maintaining bioinformatics tools for high-throughput processing pipelines. The Computational Biologist specifies, implements, tests and maintains bioinformatics computer applications and systems, and participates in the code walk-throughs and design and review of bioinformatics software solutions. The Computational Biologist will also assist in the packaging and distribution of developed tools and analysis results to the scientific community, and will contribute to the preparation of scientific publications.

The Computational Biologist participates in developing, improving and maintaining bioinformatics tools for high-throughput processing pipelines. The Computational Biologist specifies, implements, tests and maintains bioinformatics computer applications and systems, and participates in the code walk-throughs and design and review of bioinformatics software solutions. The Computational Biologist will also assist in the packaging and distribution of developed tools and analysis results to the scientific community, and will contribute to the preparation of scientific publications.

The School of Medicine, Life and Health Sciences (MED | LHS) at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen) invites applications for full-time faculty positions at the indicated academic ranks. Major research interests include, but are not limited to, biomedical engineering, computational biology and bioinformatics, structural studies of G protein-coupled receptors and other proteins, drug discovery and pharmacological characterization, stem cell research and regenerative medicine, and precision medicine including immunotherapy.

We are offering an opportunity for a postdoctoral researcher with a background in applying mathematical models to the study of the brain to join a newly established group at the First Department of Neurology at Masaryk University.

The University of Calgary's Charbonneau Cancer Institute has a thriving immunotherapy research program focused on developing next-generation cellular immunotherapies and delivering them to cancer patients in Alberta and beyond. In bringing together basic, translational and clinical scientists and supporting them to achieve a shared mission, this unique ecosystem for translational research produces knowledge, inventions, collaborations, and commercial opportunities. The bioinformatician role will be positioned within the Discovery and Innovation node of this program to (1) to identify and study novel therapeutic targets for cellular therapy in solid tumors, and (2) support collaborative research projects.

Candidates, who are interested in artificial intelligence (AI) and deep machine learning, protein and RNA structural prediction, protein and peptide design and engineering, and/or protein-ligand docking and drug screening, are encouraged to apply. We are particularly interested in the development of new AI-based approaches to cancer therapeutics, including antibody design and discovery, T cell receptor T cell therapy (TCR-T), and peptide-drug conjugate (PDC) cancer therapy.

About Us Deep Genomics is a startup company that aims to revolutionize drug development using artificial intelligence built to decode RNA biology and RNA therapeutics.Our proprietary AI platform enables us to decode the enormous complexity of RNA biology to find novel targets mechanisms and molecules that are not accessible through traditional methods.

We are looking for two experienced bioinformatics analysts to grow our team, one with Cancer research specific skills. Both candidates will have high level bioinformatics skills. The cancer specific candidate will have expertise in translational and basic cancer research. Analysts will report to the manager of the Ottawa Bioinformatics Core Facility. The Cancer support bioinformatics will be located at the Cancer Centre to promote interactions with cancer researchers. Both positions will involve research support and bioinformatics training of research personnel.

The National University of Singapore's Saw Swee School of Public Health (NUS) seeks a dedicated, skilled research fellow to join its multidisciplinary team. This position offers a unique opportunity to participate in innovative research projects on various topics such as infectious disease modelling, phylogeny, and characterizing human mobility patterns.

We are looking for a highly motivated and dynamic computational biology postdoc for a two-year position to join the Lund research group starting 1 April 2024 or as soon as possible hereafter.Information on the department can be found at: www.bric.ku.dk .

RASyn is seeking an innovative, self-motivated, and team-oriented (Senior) Scientist in Computational Biology, with a passion for developing analysis methods to derive insight from multi-modal high-dimensional data. In your role, you will develop and deploy a range of computational methods across multiple modes of experimental output, with a focus on large scale single-cell multi-omics data sets for novel target discovery and immune profiling.

Candidates, who are interested in artificial intelligence (AI) and deep machine learning, protein and RNA structural prediction, protein and peptide design and engineering, and/or protein-ligand docking and drug screening, are encouraged to apply. We are particularly interested in the development of new AI-based approaches to cancer therapeutics, including antibody design and discovery, T cell receptor T cell therapy (TCR-T), and peptide-drug conjugate (PDC) cancer therapy.

KAUST is accepting applications for two Lecturer / Senior Lecturer positions in its newly launched Bioengineering Degree Program (Master and PhD levels). This Program will bridge KAUST’s strengths in Engineering, Chemistry and Biology. In particular, it will integrate elements of electrical and mechanical engineering, biochemistry, chemistry, computer science and materials science with biology.

The Department of Physiology and Biophysics at the University of Colorado School of Medicine is seeking a computational neuroscientist to fill an open-rank, tenure-eligible faculty position. The applicant’s research program should emphasize the use of mathematical and computational methods to address fundamental questions in neuroscience and/or physiology.

We are seeking an ambitious Lecturer to join our successful team in the areas of computational biology / statistics, on either a teaching and research (T&R) or teaching and scholarship (T&S) career pathway.

The candidate will be working on the development and application of a data structure known as pan-genome graphs to represent the population structure of pathogen genomes for genomic surveillance and identification of clusters, which may indicate disease transmission. The candidate may also be tasked to work on ad-hoc activities in programming and/or data analysis for other research projects within the research group.