Executive Director, AI & Machine Learning

Mirador is a next-generation precision medicine company focused on immunology and inflammation. The company’s Mirador360 TM precision development engine leverages the latest advances in human genetics and cutting-edge data science to rapidly advance new precision medicines for patients living with chronic immune-mediated inflammatory and fibrotic diseases. Launched in 2024, Mirador has raised over $400 million from leading life sciences investors and is based in San Diego, CA.

Summary

We seek a talented Executive Director, Machine Learning to lead the development and application strategy of models leveraging multi-modal data (genetics, omics, EHR/text) to obtain new insights and therapeutic hypotheses. In this position, the individual will lead a team of machine learning scientists and software engineers to build, train, test, and maintain predictive, interpretable, and generalizable data models, including large language models (LLMs). The position will be partnered cross-functionally to align on standard assumptions and tools used to estimate future outcomes and build mechanisms that communicate to stakeholders when opportunities are identified.

Responsibilities

• Lead development and strategic deployment of machine learning and AI models across Mirador’s infrastructure to derive new insights for R&D, commercial and clinical teams
• Drive implementation of predictive models combining clinical, genetic, imaging, and circulating biomarkers to illuminate biological mechanisms and enable patient stratification and indication expansion.
• Design, develop, and fine-tune large-scale neural network models, with a strong emphasis on language models.
• Explore state-of-the-art techniques in NLP, transfer learning, and generative AI to enhance our capabilities.
• Participate in and oversight of scientific report writing. Presentation of methods, results, and conclusions to a publishable standard.
• Communicate findings in multiple settings (including 1:1, group and project meetings).
• Mentor junior members of the team and set goals, priorities and evaluation criteria for the team
• Strong at building partnerships and working collaboratively with others to meet shared objectives.

Experience and Qualifications

• PhD in Computer Science (concentration on machine learning/AI), Engineering, Statistics, or a related field
• 14 or more years of relevant biotech and/or pharmaceutical industry experience preferred.
• Proficiency with at least one high-level programming language (R, Python, C/C++) for complex data analysis and reproducible research practices.
• Experience analyzing high-dimensional molecular data, such as imaging, video, or transcriptomics.
• Experience leading a team of machine learning scientists to deliver on predefined key corporate objectives.
• Background in inflammatory diseases (e.g., autoimmune diseases, IBD, and scleroderma) and/or experience working with clinical trial data is a plus.

Skills and Abilities

• Demonstrated ability to contribute to and help advance multi-disciplinary team projects.
• Track record of excellent interpersonal and communication skills, including providing concise summaries of complex data to empower decision-making.
• Have a strong work ethic and are proactive in providing solutions to foster scientific collaborations and drive projects forward.
• Can work in a highly interactive environment with a diverse team of colleagues.

The expected base pay range for this position is $225,000 – $325,000 plus bonus, equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. This range may be modified in the future.

All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected class.