Do you want to contribute to cutting-edge research in medical AI, bioinformatics and computational medicine? Are you interested in machine learning applications in precision medicine, clinical genomics and disease research? Do you enjoy a casual work environment where learning and development are encouraged? Are you interested in learning and applying new technologies?

Applicants should have a Ph.D. degree, preferably in computational biology, bioinformatics, biomedical sciences, biological science, or a related discipline. They should be familiar with UNIX environment and computer programming languages including R, self-motivated, organized, and able to work independently as well as in a team.

Imagia Canexia Health is currently on the lookout for an experienced Computational Biologist. The candidate will be part of our Computational Science team, which leads the bioinformatics research and development program at Imagia Canexia Health (ICH). Reporting to the Sr. Manager of Computational Science, you will develop software and methodologies to perform analysis of genomic sequencing data using leading-edge DNA sequencing technologies to detect genetic markers for cancer treatment and prognosis.

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The Department of Neurosurgery at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for an Assistant Professor position in the tenure track. Expertise is required in the specific area of computational neuroscience, broadly defined, who will develop theories of neural processing and computation (expertise in the relationship between natural and artificial intelligence is also desirable).

A postdoctoral position is available immediately in Prof Chng Wee Joo’s groups for a highly motivated PhD graduate with experience in Bioinformatics (computational genomics). The focus of the lab is on deciphering transcriptional and genomic abnormalities in the context of blood cancer, including epigenetic and superenhancer deregulation, using single cell sequencing amongst other genomics techniques.

Candidates should have strong background in bioinformatics, genomics/transcriptomics, computer science, statistics, or other related fields. Those who are interested in computational genomics and transcriptomics, particularly in analysis and integration of various genomics/transcriptomics data, are encouraged to apply.

Imagia Canexia Health is currently on the lookout for an experienced Computational Biologist. The candidate will be part of our Computational Science team, which leads the bioinformatics research and development program at Imagia Canexia Health (ICH). Reporting to the Sr. Manager of Computational Science, you will develop software and methodologies to perform analysis of genomic sequencing data using leading-edge DNA sequencing technologies to detect genetic markers for cancer treatment and prognosis.

The National University of Singapore invites applications for a motivated Bioinformatician in the Department of Ophthalmology, Yong Loo Lin School of Medicine. The individual will join a multi-disciplinary team, comprising clinician scientists, animal model experts, and stem cell and molecular biologists. As a Bioinformatician, you will be leading the analysis of single-cell and spatial omics technologies applied to advancing our understanding of retinal biology, in health and disease, and to support the development of regenerative and personalised medicine approaches to address unmet clinical needs.

The current position is for a candidate with experience developing and applying computational methods to analyze high throughput biological data. The successful applicant will be part of an exceptional multidisciplinary team developing and applying single cell multiomic methods to study evolution and disease transformation risk in follicular lymphoma (FL). Funded by a multi-year Terry Fox New Frontiers Program Project Grant, the project is a close collaboration with clinicians, molecular biologists and bioinformatic scientists.

The current position is for a candidate with experience developing and applying computational methods to analyze high throughput biological data. The successful applicant will be part of an exceptional multidisciplinary team developing and applying single cell multiomic methods to study evolution and disease transformation risk in follicular lymphoma (FL).

The Department of Computer and Information Sciences at University of Delaware invites applications for an open rank tenure-track faculty position in computational biology and bioinformatics. Outstanding candidates in all areas of computer science will be considered. Applicants should hold a Ph.D. or equivalent degree in relevant areas. We encourage all ambitious, innovative individuals, who have demonstrated excellence in research and drive to become leaders in their fields while engaging in high-quality teaching and mentoring of diverse students, to apply.

The Computational Biologist performs bioinformatics analyses and contributes to software development related to the operation of a large-scale clinical sequencing facility.

Applicants should possess a Ph.D. or M.D. (preferably with 3-year experience in cancer immunology, immune engineering, organic chemistry, pharmaceutical sciences, material science, biomedical or computational imaging). A detailed knowledge of immune-oncology, molecular imaging, or material science is mandatory. Past experience in designing and performing scientific work independently and collaboratively is a must, as is the ability to thrive in a fast-paced environment.

As a Bioinformatics Engineer, you will have the opportunity to build your technical skillset as you engage clients across a variety of technical fields. Build pipelines to process cutting-edge biological data and to help our clients deploy these pipelines using high-performance batch computing, cloud storage, virtual private networks, and modern identity systems.

The position of Postdoctoral Fellow (PDF) in computational cancer genomics is immediately available at The Cancer Science Institute of Singapore (The National University of Singapore). This PDF will lead a newly funded project in the laboratory of Dr. Jason Pitt that will explore how germline genetics and cell-of-origin contribute to genomic instability (GI) in cancer (see Pitt et al., 2018, Nat Comms; Pitt et al., 2018, Cancer Cell; Wang & Pitt et al., 2019, Int J Cancer).

You are a dynamic computational biologist with either industry or academic experience in leading a team focused on the analysis and modeling of large biomedical and clinical data. You are passionate about the use of machine learning and AI to unlock the mysteries of science and change the way biomedical research is performed.

This is an opportunity to advance single cell omics technology and work alongside highly motivated colleagues in a We are looking for an outstanding Postdoctoral Fellow with experience developing and applying computational methods for high-throughput omics analysis to join Dr. Adi Steif’s computational cancer genomics research group in Vancouver, Canada.

We are looking for an outstanding research programmer with experience developing and applying computational workflows for high-throughput sequencing data analysis to join Dr. Adi Steif’s cancer genomics research group in Vancouver, Canada.

Schrödinger is seeking a Computational Biology Intern to work on new and exciting drug discovery and development programs.