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A leading biotechnology company in Toronto is seeking a Bioinformatics Data Analyst to process and analyze diverse single-cell genomics data. The ideal candidate will have an MS or PhD in bioinformatics, along with a solid background in Python programming, HPC environments, and large genomics datasets. This role requires collaboration with experimental and software engineering teams, with a competitive salary ranging from $150,000 to $200,000 annually.
Tahoe Therapeutics is a biotechnology company pioneering a fundamentally new approach to drug discovery, one that begins with the biology of real patients. Our Mosaic platform is the first to make in vivo data generation scalable, with single-cell resolution, allowing us to map how drugs affect patient-derived cells in the body across a wide range of biological contexts. We are building the world’s largest in vivo single-cell perturbation atlas, and using it to train multimodal foundation models that learn the context-dependent nature of gene function, disease progression, and drug response. By combining cutting-edge machine learning with the most biologically relevant datasets ever assembled in drug discovery, our mission is to find better drugs, faster, and bring them to more patients who need them.
You will be responsible for bioinformatics data processing and analysis across diverse single-cell genomics modalities. This includes read and barcode processing, read alignment, quality control, and expression or other signal quantification. You will work closely with the experimental team generating data, the software engineering team building data pipelines and cloud infrastructure, and other computational scientists. This role requires physical presence in the Toronto office for at least 3 days per week.
$150,000 - $200,000 a year
We welcome applications from candidates in both Toronto, ON or San Francisco, CA, regions or those willing to relocate to the Bay Area or the Greater Toronto Area.
Please note, we have one role open to two geographical locations.