Overview of salaries statistics of the profession "Computational Biologist in Canada"

The Ontario Institute for Cancer Research (OICR) is seeking a bioinformatician who possesses the relevant training to join the Drug Discovery (DD) Program. The program aims to help efficiently translate discoveries made in Ontario's labs into novel oncology therapies, spanning the entire drug discovery process from target identification and validation to clinical candidate selection. The DD Program is collaborating with OICR's Adaptive Oncology (AO) to develop computational tools to identify and prioritize biological targets and biomarkers. The AO Program seeks to develop knowledge and approaches to monitor cancer over time and in response to treatment, to enable precise and proactive clinical management.This position is temporary, full-time for one-year, with the possibility of conversion to a permanent position.The successful candidate will work closely with data scientists and biologists from OICR's Adaptive Oncology and Drug Discovery programs to co-develop novel algorithms/methods and pipelines for target/biomarker discovery. This is an exciting opportunity to learn about the latest developments in drug discovery and the use of various bioinformatic and machine learning approaches in computational biology, while contributing to the development of new treatments for cancer.While most work is completed remotely, occasionally onsite team meetings or events, where attendance is expected.OICR is Ontario's cancer research institute. We bring together people from across the province and around the world to improve the lives of everyone affected by cancer. We take on the biggest challenges in cancer research and deliver real-world solutions to find cancer earlier and treat it more effectively. We are committed to helping people living with cancer, as well as future generations, live longer and healthier lives.Launched in December 2005, OICR is an independent institute funded by the Government of Ontario through the Ministry of Colleges and Universities.Position responsibilities include:Design, test, and maintain custom analysis pipelines on local High-Performance Computing (HPC) clusters.Perform downstream data analysis, including expression, pathway, mutation, and clinical association studies.Integrate large and diverse datasets from multiple platforms and conduct unified analyses.Design and develop novel algorithms for drug target prediction.Automate data processing and generate visual outputs and user-friendly interfaces.Foster strong collaborations with other programs including Adaptive Oncology at OICR. Qualifications:B.Sc. or higher degree in biological sciences, computational biology, or equivalent education or work experience.Strong knowledge of programming and scripting languages like Perl, R, and Java is required.Experience in a Unix/Linux environment, and Python, statistical analysis tools (e.g. R) and database programming (e.g. SQL) and Data Analysis Pipeline.Knowledge of common genomics database (e.g. EGA, dbGAP), expression databases (TCGA/GTEx/CCLE), and protein-protein interaction databases (e.g. STRING/IntAct/Reactome), cell line database (DepMap), and clinical databases.Knowledge of cancer biology (pathways, mutations, and functional annotation) is beneficial.Skills in data management and reproducibility including generation, backup and version control.Excellent communication skills (verbal and written) in a multi-disciplinary team environment.Ability to work independently (take ownership of assigned tasks) and as a team member.For more information about OICR, please visit the website at www.oicr.on.ca.To learn more about working at OICR, visit our career page.CLOSING DATE: Until Filled

  About Us: Dr. Arun Seth’s laboratory is seeking a highly motivated and self-driven postdoctoral candidate with a keen interest in cancer bioinformatics, specifically within the context of prostate cancer biomarker research. Our primary research focus revolves around gaining a deeper understanding of the molecular mechanisms underlying prostate cancer progression and metastasis. The laboratory specializes in the study of cell signaling and functional genomics in prostate cancer, with a particular emphasis on the roles of miRNAs. We employ cutting-edge technologies, including Next-Generation Sequencing (NGS) systems and Nanostring's nCounter analysis system, to evaluate prostate cancer biomarkers. Responsibilities: The successful candidate will be responsible for: Utilizing and integrating various methodologies, software, computational tools, and databases to explore the molecular intricacies of cancer. Identifying and validating novel biomarkers for personalized medicine in prostate cancer. Proficiently utilizing cloud-based data software platforms for scalable and flexible analysis. Conducting genomics and expression data analysis across multiple platforms, including NGS systems, Nanostring's nCounter Analysis System, and the ROSALIND software platform. Collaborating closely with molecular/cell biologists and clinician scientists. Qualifications: To be considered for this position, candidates should possess: A Ph.D. in Bioinformatics or a related field. Strong programming skills in languages like Python, R, or Perl. Proficiency in using bioinformatics tools and databases. Experience with statistical analysis and data visualization. A minimum of one to two years of relevant postdoctoral experience, complemented by a proven track record of high-quality publications. A strong grasp of biological concepts and experimental methods commonly used in molecular biology and cancer biology. Excellent communication skills, both written and spoken, in advanced English. Location: Our lab is located within the Biological Sciences Platform at the Sunnybrook Research Institute, offering access to a vibrant research environment in Toronto. Application Details: Interested candidates are encouraged to submit the following application materials to [[email protected]]: Curriculum Vitae (CV) Cover Letter Copies of relevant publications We appreciate all applications; however, only those selected for an interview will be contacted.