Bioinformatician I - Toronto, Canada - Ontario Institute for Cancer Research
Description
Position:
Bioinformatician I
Location:
MaRS Centre, Toronto
Department:
Drug Discovery Program
Reports To:
Scientific Advisor
Salary:
Commensurate with level of experience
Hours: 35 hours/week
Job Type:
Hybrid
Status:
Full-Time, Temporary (1-year contract with possible conversion to permanent position)
This position is temporary, full-time for one-year, with the possibility of conversion to a permanent position.
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 userfriendly 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 proteinprotein 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 multidisciplinary team environment.
- Ability to work independently (take ownership of assigned tasks) and as a team member.
CLOSING DATE:
Until Filled
- The Ontario Institute for Cancer Research thanks all applicants. However, only those under consideration will be contacted._
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