Senior Software Engineer - Data And Knowledge Systems

Pathos was founded to revolutionize precision medicine in cancer by harnessing the power of machine learning to transform drug development. Pathos aims to accelerate traditional oncology approaches based upon a comprehensive and integrated data-first strategy to discover and develop drugs for precise biological pathways. Pathos is currently pursuing co-development and in-licensing opportunities to build a portfolio of clinical stage oncology assets, applying its technology to find the right patients and indications, resulting in a highly improved probability of success and faster time to market.

The founding team built and scaled Tempus Labs, an AI-enabled diagnostics company that has built the world's largest library of clinical and molecular data and an operating system to make sense of it. Through this experience, the founders have seen how precision medicine can transform lives, yet many patients remain who need better therapies. A new approach is needed to change the paradigm of drug development to rapidly serve these unmet needs, highlighting a unique opportunity for Pathos to pursue. We're looking for other trailblazers who see the world differently and want to forge this new path with us.

Our team is distributed across the US with hubs in New York and Salt Lake. While we still operate with the agility of a startup, we are scaling to advance our platform.

About the role

This position will help build out our biological and clinical knowledge platform to allow it analyze more data more rapidly to identify and validate new clinical assets and biomarkers. We work closely with scientists to build systems that find and deliver the data they need in an analysis-ready form. This position will be one of the first engineers on a small team, and have a correspondingly large influence on the knowledge and data platform, as well as how we work and collaborate together. We value using tooling, automation, and testing to deliver reliable, secure, and correct software rather than heavy processes.

Key Responsibilities

• Design and build systems for organizing and querying biological and clinical data

• Build out and codify cloud infrastructure for data analysis and storage

• Develop and maintain data processing services and analysis pipelines

• Secure data from external threats and internal misuse

• Learn and understand the complexities of biological and clinical data

Who you are:

• Ideal candidates will have three or more years of experience developing software in a professional environment

• Experience developing knowledge and data systems

• Experience with relational database systems

• Preference will be given to candidates who have:

• Experience with Google Cloud Platform and Terraform/OpenTofu

• Experience with semantic web technologies

• Background in biology, bioinformatics, or scientific computing

• Experience developing software in Python and/or R

• Experience with PostgreSQL

• Experience working with containers (e.g. Docker)