Duties and Responsibilities

The Bioinformatician’s key role will be to develop and apply bioinformatics solutions to genomics research conducted by the TRIA-FoR project, a national scale, multidisciplinary network of researchers led by Carleton University and the University of Alberta. The bioinformatician will be located at Carleton University, and they will investigate resiliency and risk in the context of mountain pine beetle-climate interactions by linking genomics with quantitative genetics, population genetics, physiology, phenomics and spread risk modelling.

Texas Tech University Health Sciences Center is a top 100 Best Medical School (Ranked 19 in Primary Care by US News). Texas Tech University is an R1 University. It is the second largest contiguous campus (1,900 acres) in the US, and the only university in Texas to house an undergraduate and graduate university, law school, and medical school on the same campus.

Lab Description:

The Li Bioinformatics and Computational Genomics Lab (dllab.org) is seeking outstanding Postdoctoral Associates in genomic sequencing data analyses and pipeline development to join our new lab and planned new Center for Genomic Medicine. About our lab: Largest ME/CFS genomics program; State-of-the-art HPC; Strong mentoring and support team. Example of our recent papers: Genome Res PMID: 30872350; Bioinformatics PMID: 30895294. The University and lab are fully committed to supporting trainee’s career development. Salary is highly competitive and is commensurate with experience and productivity.

Lab website: https://phulab.org/

The Hu lab in the Department of Biochemistry and Department of Computer Science at Western University, Canada is recruiting a postdoctoral fellow in artificial intelligence for health data science/bioinformatics. Western University ranks within the top 10 research-intensive universities in Canada and top 114 in the world (QS World University Rankings 2024, https://www.topuniversities.com/university-rankings/world-university-rankings/2024?&region=North%20America&countries=ca). Dr. Hu is a Canada Research Chair in Computational Approaches to Health Research and has excellent experience in mentoring trainees at different levels. Many of his trainees have received international and national awards, accepted into top graduate schools (like Oxford, Cambridge, UCLA, CMU, Toronto, UBC, McGill), employed in high-tech companies (like Google, Microsoft, Amazon), and landed tenure-track professor positions in Canada.

Overview

Value: $86,800 ($70,000 + 24% benefits)
Duration: 3 Years
Application Deadline: 31 July 2023
Funding Start: 1 September 2023 (start date negotiable)

The Computational Biology & Medicine Program Postdoctoral Fellowship provides postdoctoral scientists from around the world an opportunity to build their careers, engage in cutting-edge research and benefit from an environment that fosters equity, diversity, and inclusivity. 

The Princess Margaret Cancer Centre (PM) is one of the largest comprehensive cancer facilities in the world located in the heart of the vibrant and diverse city of Toronto, Canada. Through its commitment to research, education, and innovation, PM stands on the frontiers of medical and experimental oncology. The scientific excellence of its internationally recognized researchers and cutting-edge research infrastructure rank PM amongst the top five cancer centres in the world. Within PM, the Computational Biology & Medicine Program (CBMP) is home to scientists and clinicians focused on developing and implementing novel computational methods for analyzing massive cancer data.

The CBMP Postdoctoral Fellowship is a highly selective opportunity designed to support the most promising incoming postdoctoral scientists to engage in leading-edge cancer research within the Computational Biology & Medicine Program. The fellowship recipient will join an active, well-funded team led by one of our field-leading researchers and make ground breaking discoveries in fundamental, translational, and clinical research. The recipient will work collaboratively on multidisciplinary projects that improve the prevention, identification, and treatment of cancer in the short or long term. 

Value & Duration

The award is valued at $70,000 CAD + 24% benefits. These funds will contribute towards the postdoctoral researcher’s salary and are non-renewable. A maximum of 1 award will be granted each competition. These funds are taxable. Benefits include the career training program of the Office of Research Trainees, extended medical insurance, dental insurance, maternity benefits (15 weeks), parental benefits (additional 61 weeks), child care program (fee applies), defined-benefit pension plan, and employment insurance.

Objective

The objective of this program is to both attract high-quality postdoctoral researchers to CBMP, and support exemplary postdoctoral researchers currently within CBMP.

Description:

Looking for the right person to join our team as we integrate multi-omic data and computational and AI approaches to identify treatment response profiles to immunotherapy using liquid biopsy!

Applications are invited for a Postdoctoral Fellow position at the New Brunswick Center for Precision Medicine, under the  supervision of Dr. Rodney Ouellette (M.D., Ph.D.) and Dr. Eric Allain (Ph.D.) of the newly formed Artificial Intelligence Magnified Precision Oncology (AIMPRO) Group. The postdoctoral fellow will work with multi-omic data from patient extracellular liquid biopsy with various methods in computational biology and bioinformatics. The postdoctoral fellow will be involved in projects that aim to understand the pre-treatment immune context in cancer patients receiving checkpoint inhibitors. Our primary goal is use bioinformatics and AI to understand the baseline profiles in patients and how these may predict treatment response/non-response. The candidate will also work with renown AI expert and collaborator Dr Moulay Akhloufi (PhD) of the Université de Moncton to employ machine learning algorithms on complex multisource patient sample data. Dr. Ouellette is the RR Leger Chair in Precision Cancer Research and has 25 years of experience in mentoring trainees at different levels. Most of his trainees successfully transition to academic, governmental, and private sector employment. Dr Allain is an emerging young researcher with an expertise in biology and bioinformatics. The successful candidates will work in a multidisciplinary environment and participate in research decision-making.  Findings will be presented in international conferences and peer-reviewed journals.