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 person will pioneer efforts in the field of precision oncology. By driving the establishment and integration of cutting-edge technologies and advanced readouts in our cancer organoid platform, such as imaging, proteomic and epigenetic profiling, this role will ensure state-of-the art capabilities and bridge the gap between our real world-based computational predictions and experimental validations.

This person will be working in Salt Lake City.

We need a Scientist - Cancer Biology to help us achieve several key objectives, including:

• Develop and validate imaging assays to produce high content readouts, ensuring accuracy, reproducibility, and robustness.

• Develop and validate proteomic profiling of our cancer organoid platform.

• Work with the Data Analysis team to analyze and interpret high content imaging data to identify phenotypic changes and cellular responses

• Integrate imaging data with other omics data to generate mechanistic insights.

• Interpret and summarize research findings, presenting them effectively at both internal and external meetings to support decision making for the development or in-licensing of oncology assets.

• Stay current with advancements in high content imaging technologies and cancer biology research.

• Publish groundbreaking studies in high-impact journals and deliver presentations in prestigious conferences to disseminate our research findings and establish our scientific reputation.

• Train and direct Research Associates in established techniques and in development of novel assays.

Who you are:

• PhD in Cancer Biology, Molecular and Cellular Biology, or a related field.

• A minimum of 3 years post-doctoral or industry experience in high content imaging and cancer research.

• Proven expertise in developing and executing high content imaging assays for high throughput screening.

• Strong background in cancer biology in vitro culture.

• Experience in cancer organoid models is strongly preferred.

• Excellent analytical, problem-solving, and organizational skills.

• Strong written and verbal communication skills.

• Ability to work independently and collaboratively in a fast-paced, interdisciplinary environment.

• Driven by data, innovation, and a desire to contribute to groundbreaking advancements in cancer therapy.