Senior Software Engineer

Tahoe Therapeutics; Toronto; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

A leading biotechnology company focused on innovative drug discovery is seeking a Bioinformatics Engineer to manage bioinformatics pipelines and support machine learning projects. This hybrid role requires collaboration with bioinformaticians and computational biologists, while offering competitive benefits including unlimited PTO and a supportive work environment.

Benefits

Unlimited Paid Time Off (PTO)

Monthly Lunch budget

One-time Office set up budget

Qualifications

• 5+ years of experience as a software engineer, preferably in an industry setting.
• Proficiency with Docker and cloud providers (AWS, GCP, Azure).
• Experience with scalable software solutions and big data.

Responsibilities

• Execute bioinformatics pipeline in a cloud environment.
• Maintain and improve scalability of bioinformatics pipeline.
• Support ML scientists in using RunAI GPU scheduling.

Skills

Python programming

Cloud infrastructure

Pipeline orchestration

Big data

Education

BSc or MS degree in Computer Science or Software Engineering

Tools

Docker

AWS

GCP

Azure

Linux

Job description

About Tahoe Therapeutics

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.

Your Role

You will be responsible for maintaining our bioinformatics pipelines, and ensuring that we optimally leverage cloud resources for large scale data processing and storage. You will also provide dev-ops support to the machine learning team. You will closely interact and collaborate with bioinformaticians, computational biologists, machine learning scientists, and experimental biology scientists.

Qualifications - Essential

• BSc or MS degree in Computer Science, Software Engineering or related discipline
• 5+ years of experience as software engineer, preferably in an industry setting
• Knowledge of cloud infrastructure; familiarity with one of leading cloud providers, AWS, GCP or Azure; proficiency with Docker
• Solid Python programming skills
• Solid knowledge of pipeline orchestrator frameworks (preferably Metaflow, Snakemake)
• Experience working with big data and building scalable software solutions
• Familiarity with Linux based operating systems
  
  
  

Qualifications - Desirable

• Exposure to large-scale bioinformatics data quality control and visualization
• Prior experience working in health care, life sciences or other regulated industries, requiring interaction with experimental scientists
• Familiarity with R
  
  
  

Key Responsibilities

• Successfully execute bioinformatics pipeline in a data production cloud environment
• Maintain bioinformatics pipeline and other software systems
• Improve scalability of bioinformatics pipeline
• Support ML scientists using the RunAI GPU scheduling environment and adopting future environments further improving scalability
• Administration of AWS cloud accounts
• More bespoke software engineering tasks related to experimental data generation and analysis
• Understand business domain problems and user needs by collaborating closely with other company members
  
  
  

Benefits

• Unlimited Paid Time Off (PTO)
• Monthly Lunch budget
• One-time Office set up budget
• Canadian Employees: Manulife Silver including medical, vision and dental
  
  
  

This hybrid role does not necessitate daily on-site attendance, but it does require the ability to access our offices in either South San Francisco, CA, or Toronto, ON; we welcome applications from candidates in these 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.