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1027 days ago

Postdoctoral

Ontario Institute for Cancer Research -

Position: Postdoctoral Fellow in Computational Genomics

Site: MaRS Centre, Toronto

Department: Computational Biology

Reports To: Shraddha Pai

Salary: Commensurate with level of experience

Hours: 35 hours/week Status: Full-time, Temporary (1-year contract)

The Ontario Institute for Cancer Research (OICR) is seeking a dynamic, collaborative postdoctoral fellow to join a team developing computational algorithms for cancer drug target prioritization using genomics, biological networks, and systems medicine-based approaches.

The goal of the project is to create an algorithm to prioritize lead molecules for drug targeting by integrating prior ‘omic and non-‘omic knowledge to maximize functional relevance and minimize off-target effects. The algorithm will use network-based approaches, and will incorporate genomic prior knowledge such as tissue-specific transcriptomic and proteomic profiles, known oncogenic mutations, and target druggability, as well as non-‘omic sources such as reports of adverse drug reactions. The successful candidate will lead method development, benchmarking for method optimization, and manuscript writing of results. Prioritized molecules will be experimentally verified by members of the team from OICR’s Drug Discovery group.

The Pai Lab at the Ontario Institute for Cancer Research develops computational methods for precision medicine, with a focus on network and systems medicine. The project is a collaboration between the Ontario Institute for Cancer Research’s Adaptive Oncology and Drug Discovery teams, which includes the labs of Rima Al-Awar, Richard Marcellus, Lincoln Stein and Shraddha Pai. While this posting is for a one year initial contract, a contract extension for a second year is a strong possibility.

The successful candidate will gain the experience of working in an interdisciplinary team of computational biologists and pharmacologists, and be exposed to the process of drug discovery technology development. The candidate will be part of the rich scientific environment of the OICR, with opportunities for development of technical, leadership, and entrepreneurial skills. The candidate will also have the opportunity to learn about the space for biomedical technology development for commercialization.

The MaRS Centre has a mandatory COVID-19 vaccination policy in place that requires proof of full COVID-19 vaccination or proof of a medical exemption issued pursuant to the Government of Ontario guidelines. Accordingly, as a condition of employment, new employees who are required to work on-site are required to be fully vaccinated for COVID-19 subject to the duty to accommodate on the basis of protected grounds pursuant to the Ontario Human Rights Code.

Fully vaccinated is defined as having received all of the required doses of a Health Canada approved vaccine and having received the final dose at least 14 days before your employment start date.

As described above, the requirement to be fully vaccinated is subject to the Ontario Human Rights Code. If the candidate is unable to receive the COVID-19 vaccine for a reason protected by the Code, requests for accommodation from the vaccine policy will be assessed on a case-by-case basis.

To learn more about working at OICR, visit our career page.

1027 days ago

Postdoctoral

University of British Columbia -

A post-doctoral fellowships (PDF) position in the field of machine learning/computational biology is available in the School of Biomedical Engineering and Department of Pathology and Laboratory Medicine at the University of British Columbia/Vancouver General Hospital. The incumbents will join an interdisciplinary team working to establish a program on machine learning applications in pathology and genomics. Candidates are expected to have extensive experience in one or more of the following areas: diverse areas of machine learning and statistics especially deep neural networks, statistics, and image processing. The candidate will play an important role in the project team, including authoring grants, conducting large-scale international projects, managing collaborations, disseminating research findings, and assisting in managing junior lab members. Organizational Status: The successful candidate will report to the Principal Investigator (Director of AI Research at OVCARE, Dr. Ali Bashashati).

1027 days ago

Postdoctoral

University of Arizona -

An NIH R01-supported postdoctoral fellow position in bioinformatics is available within the Kruer laboratory of the Phoenix Children’s Hospital Research Institute and University of Arizona College of Medicine – Phoenix. Work in the lab focuses on neurodevelopmental and neurodegenerative disorders of childhood, spanning both common and rare diseases. Successful candidates will have strong programming and analytical skills. The fellow will take ownership of projects integrating genomic (WES and WGS) and transcriptomic datasets across eukaryotic systems working collaboratively with bench scientists (molecular & cellular biologists, geneticists, neuroscientists) and physicians within the lab to characterize fundamental disease mechanisms. Opportunities in phenomics, metabolomics, algorithm development, and single cell analysis exist. Early career scientists will receive mentoring in proposal development, grantwriting, peer review and scientific communication to complement their professional development and prepare for positions in either academia or industry. The successful applicant will have opportunities to work both independently and as part of large collaborative teams across major research networks and to publish high-impact manuscripts.

1027 days ago

Postdoctoral

Washinton University in St. Louis -

The Cruchaga Lab in collaboration with the GSK Genetics Therapy Area is recruiting a self-motivated, self-driven Postdoctoral Research Scientist to work on QTL mapping, Colocalization and Mendelian Randomization. Our group generates and analyzes genetic and multi-tissue proteomic data from large and well-characterized cohorts of Alzheimer disease cases and controls. Proteomic and other omic data (transcriptomics, metabolomics and lipidomics) will be used to perform QTL mapping, Colocalization and Mendelian Randomization to identify novel causal genes, proteins and pathways for Alzheimer disease risk, onset and progression, as well as to create new prediction models and identify druggable targets. We are seeking a highly motivated researcher with strong analytical skills, especially in Quantitative human genetics and Mendelian Randomization to lead the analyses for these projects. The new Postdoctoral Research Scientist will join a large team, currently 30+ members, which is led by three faculty members, four postdocs, several PhD students, and three senior scientists.

Recent publications:
Yang Chengran et al, Nat Neurosci. 2021 Sep;24(9):1302-1312 Laura Ibanez, et al. Genes (Basel). 2021 Aug 15;12(8):1247 Claudia Olive, et al. J Alzheimers Dis. 2020;77(4):1469-1482 Umber Dube et al, Nat Neurosci. 2019 Nov;22(11):1903-1912

1039 days ago

Postdoctoral

CHU de quebec -

The bioinformatics laboratory of the research center of the CHU de Québec – Université Laval (CHUL) invites applications for a Bioinformatician post-doc position in Microbial Metagenomics (shotgun / 16S). This full-time fixed term position is for approximately 12 months (based on length of grant funding), with the possibility of extension. The Bioinformatician in Microbial Metagenomics will report directly to Arnaud Droit, principal investigator and director of the computational biology laboratory. The successful applicant will join an interdisciplinary team focused on developing and applying computational methods in microbial metagenomics, but also various other OMICs-type projects, especially in cancer research. The team uses state-of-the-art applications of high throughput sequencing to analyze patient cohorts, identify biomarker signatures, and identify bacterial sequences that could potentially serve as diagnostic markers. The Bioinformatician in microbial metagenomics will develop new methods and support the continued development of approaches for resolving genomes from metagenomes (16S and shotgun), performing comparative and functional genomics analyses, and curating pan-genomic sequence databases. The position will take place in a context of an international collaboration with a private partner. It will start as soon as possible. Salary will be commensurate with qualifications and experience.