We have an available opening in our CSI team for talented and motivated Computational Biologists with expertise developing computational methods to analyze and model complex biological datasets and processes. As a core member of this team, the primary responsibility of Computational Biologists is to contribute to the development and scalable deployment of diverse, integrated computational systems that can provide key support for clinical interpretation of genetic testing results.

As a Scientist I/II - Computational Biologist, Capsid Data Science, you will lead analysis of biological data in a statistically rigorous manner and communicate findings to stakeholders across Dyno. This is a highly collaborative position working closely with other scientists and stakeholders to enable decision-making based on the data collected at Dyno.

As a Scientist II/Sr. Scientist - Computational Biology, you will spearhead the development of methods and tools to analyze and process next-generation sequencing data of multiplexed validation studies. You will support quality control (QC) analytics of manufacturing and tissue analysis processes, and contribute to the development of new analyses for process optimization.

We are looking for a Principal Bioinformatics Scientist in the NGS Algorithms and Applications team to support the algorithm development efforts. In this role, you will collaborate closely with assay scientists, software engineers and other bioinformatics scientist and apply your strong knowledge in next generation sequencing technologies.

Working under the direction of the Project Manager and Lead Data Scientist, a bioinformatics analyst will be responsible for applying their technical knowledge and skills in the domains of computational biology and/or bioinformatics towards the collection and analysis of genomic data.

The group is now seeking postdoctoral researcher, with strong computational and analytical skills, and an interest in implementing and applying machine learning and network-based approaches for AI-based drug repurposing and drug combination predictions, through analysing and integrating multi-omics data from pre-clinical and clinical resources. We will make use of publicly available resources for drug repurposing, such as Drug Repurposing Hub and clue.io, as well as in-house drug testing data from pre-clinical models.

No degree required, but proficiency usually demonstrated by getting a Bachelor/Master’s in computer science or computer engineering, or PhD in bioinformatics, computational biology, immunology, or related discipline. If you don’t have an advanced degree, your resume should demonstrate a mastery of concepts.

Expertise is required in the specific area of computational methodologies including computer vision, machine learning, and neuroimaging, and employing these methodologies in the study of mental health conditions. The role includes collaboration to develop and validate novel computational behavior analysis methods that provide granular, accurate and efficient assessment tools for clinical research.

The laboratories of Dr. Gavin Ha and Dr. David MacPherson have a joint postdoctoral research position open in the Computational Biology Program of the Public Health Sciences and Human Biology Divisions. We are seeking a highly motivated individual who is interested in developing and implementing innovative computational and analytical approaches to study the genetics and epigenetics of lung cancer from tumor and liquid biopsies.

The UT Southwestern High Throughput Screening Laboratory is looking for a Computational Biologist with bioinformatics background to work on genome-wide CRISPR screens and high throughput chemical screens that are part of target and lead discovery efforts to generate new therapeutics in the areas of cancer, metabolic diseases, neurological diseases, anti-infectives, and others.

The successful candidate will help to build our Computational Chemistry capabilities and will collaborate with and support Medicinal Chemistry, Structural Biology, Bioinformatics and Discovery Sciences departments.

Requisition Id10595 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security.Our capabilities span a broad range of scientific and engineering disciplines enabling the Laboratory to explore fundamental science challenges and to carry out the research needed to accelerate the delivery of solutions to the marketplace.

We are seeking a Postdoctoral Research Associate who will support the Computational and Predictive Biology Group in the Biosciences Division (BSD), Biological and Environmental Systems Sciences (BESSD) at Oak Ridge National Laboratory (ORNL).

The Masonic Medical Research Institute (mmri.edu) is looking for enthusiastic candidates at any career stage to join the laboratory of Dr. Nathan Tucker (www.mmri.edu/tucker-lab/). Successful candidates will join a research program which focuses on mechanistically understanding the effects of human genetic variation (such as that identified by GWAS) on cardiovascular phenotypes.

A Senior Research Scientist 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. Those who are interested in computational genomics, particularly in analysis of single cell sequencing data, superenhancer and chromatic interaction data, and integration of various genomics data, are encouraged to apply.

Working under the direction of the Project Manager and Lead Data Scientist, a bioinformatics analyst will be responsible for applying their technical knowledge and skills in the domains of computational biology and/or bioinformatics towards the collection and analysis of genomic data.

We are seeking a person with preferred experience in cancer immunology, immune engineering, biomedical imaging, or computational imaging. A success candidate will be responsible to, and work closely with, the Principal Investigator and the team members to undertake independent and/or collaborative research and to lead on aspects of research strategy within the lab.

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? If so, the Centre for Computational Medicine, a core facility within the world-renowned Hospital for Sick Children Research Institute is interested in hiring you.

A Senior Research Scientist 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.

Saw Swee School of Public Health at the National University of Singapore (NUS) is currently seeking a dedicated and skilled Research Associate to join our interdisciplinary team. This position offers a unique opportunity to engage in innovative research projects across a range of topics, including infectious disease modelling, phylogeny, phylodynamics, machine learning for public health, and global health..