Head of Causal AI

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.

The Role

We are seeking an exceptional leader with expertise in causal AI and a passion for advancing precision medicine solutions in the drug discovery arena. The ideal candidate is a seasoned professional with a deep understanding of causal inference, machine learning, and their applications in the biomedical and life sciences fields. You have a proven track record of leading teams and applying advanced analytics methods to generate insights that drive decision-making in drug development.

As the Head of Causal AI, you will play a crucial role in shaping our information platform to model disease, stratify patients into subgroups, and identify optimal points of therapeutic intervention at the level of disease subtypes. You have a strong background in computational biology, genomics, or related disciplines and can leverage your expertise to guide the development and implementation of advanced analytics programs.

You are a visionary thinker who thrives in a collaborative environment. You have the ability to build relationships with external partners, present complex concepts to diverse audiences, and contribute to the scientific community through publications and research advancements.

Responsibilities

This key role will help set Pathos’s vision for precision oncology and help establish Pathos’s strategic plan for all aspects of the information platform, first applied to oncology solutions, advancing Pathos’s market position by providing advanced therapeutic and diagnostic insights required for our drug development and internal/external collaborative efforts. Key responsibilities of this role will be:

• Collaborate closely with other teams and external stakeholders in the computational and oncology fields as it relates to stratifying patient populations, modeling disease, non-disease, and drug response states, and identification and prioritization of therapeutic targets and opportunities.
• Contribute to the overall information vision of Pathos and provide direction on the information platform and related products;
• Provide computational oversight, molecular modeling expertise, and data sciences leadership that ensures Pathos delivers the most state of the art interpretations to internal and external drug development efforts;
• Contribute to strategy, development and implementation of Patho’s predictive analytics programs (and more generally) to include collaboration with strategic business and academic partners;
• Contribute to the strategy, development and implementation of Patho’s oncology programs;
• Actively engage in business development opportunities, including presenting Patho’s capabilities to key constituents such as regulatory bodies, biopharma, medical systems, information-based organizations, and academic conferences; and
• Collaborate with Pathos to advance science leading to publication and new products.
  
  

Who You Are

Advanced degree (PhD or equivalent) in a field such as computer science, statistics, physics, data science, or a related discipline.

• Strong expertise and research experience in causal inference, machine learning, and advanced analytics methods.
• Proven track record of applying causal inference and machine learning techniques to solve complex problems in the biomedical and life sciences domains.
• Extensive experience in leading and managing teams of data scientists or researchers.
• Deep understanding of precision medicine, oncology, and drug development processes.
• Strong foundation in molecular biology, genomics, and clinical data.
• Proficiency in programming languages such as Python, R, or similar for data analysis and modeling.
• Strong knowledge of statistical methods and experimental design.
• Excellent communication and collaboration skills to work effectively with cross-functional teams and external partners.
• Strategic mindset with the ability to translate business goals into actionable plans and initiatives.
• Demonstrated leadership and ability to drive innovation in a fast-paced, dynamic environment.
• Experience in presenting scientific findings and insights to diverse audiences.