Computational Biologist

Institution/Company:
Chinook Therapeutics
Location:
Seatttle, Washington, United States
Job Type:
  • Staff (Location: Seattle, WA, Oakland, CA, Vancouver, BC or remote)
Degree Level Required:
PhD, Masters
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Computational Biologist

Chinook Therapeutics is seeking an energetic and collaborative Computational Biologist to join the Bioinformatics and Computational Biology team. Our laboratories are based in Vancouver, Canada but the successful candidate could be located in Seattle, Oakland or Vancouver, Canada or remote. This individual will support the development, implementation and application of computational tools and methods to provide actionable biological insights and contribute to a strong scientific understanding of drug targets and biological pathways within the context of precision medicines for kidney disease. Candidates will work primarily within the Computational Biology team, but will interface with a multidisciplinary discovery team of biologists, medicinal chemists, DMPK scientists, and in vivo pharmacologists.

Responsibilities:

• Develop, implement and apply computational tools and methods to store, process, analyze, visualize and integrate in-house and public genetics, RNAseq, NGS, metabolomics, proteomics and other ‘omics data types to address key drug discovery questions on biological and disease mechanisms, biological rationale, target safety, patient stratification, and biomarker identification • Collaborate with members of our Biology team on the analysis of in vitro and in vivo datasets • Analyze public and proprietary expression databases to assist in the development of new therapeutic programs • Design, develop and implement software tools and analytical procedures supporting bioinformatics analysis

Qualifications:

• PhD in Bioinformatics, Computational Biology, or a related discipline; or MSc and 5+ years of experience • Proficiency in the utilization of statistical and computational software environments to process and analyze data (R, Python) • Expertise in the design of experiments and statistical analysis of experimental data • Experience in the computational analysis of RNA and DNA datasets from various technologies (RNA-Seq, single-cell RNA-Seq, Nanostring, ATAC-seq, etc.) • Experience with gene network analysis, cell type deconvolution, proteomics or machine learning is a plus • Experience with AWS cloud compute environment is a plus • Excellent communication skills (both oral and written) with ability to clearly and concisely summarize computational concepts and findings to cross-disciplinary scientists • A strong team player with a passion for science and drug discovery

Additional Information

Chinook is an Equal Opportunity Employer and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, place of origin, religion, family status, sexual orientation, gender identity, status as a veteran, and disability or any other federal, state, provincial or local protected ground.

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