Associate Director, Machine Learning

(San Diego, CA)

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 are building an AI & Machine Learning team that develops and applies classical machine learning and deep learning models for different applications. This position focuses on classical machine learning. We seek a talented Associate Director, Machine Learning to report to the Senior Director, AI & Machine Learning and collaborate on development of statistical models leveraging multi-modal data (genetics, omics, EHR/text) drive new insights and therapeutic hypotheses. In this position, the individual will be responsible to build to, train, test, and maintain predictive, interpretable, and generalizable data models. 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

• Design and perform analyses to infer causal mechanisms driving inflammatory mechanisms integrating data collected from pre-clinical models and human data sets.
• Drive implementation of predictive models combining clinical, genetic, imaging, and circulating biomarkers to illuminate biological mechanisms and enable patient stratification and indication expansion.
• 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).
• Strong at building partnerships and working collaboratively with others to meet shared objectives.

Experience and Qualifications

• Ph.D. in Computer Science (concentration on machine learning/AI), Engineering, Statistics, or a related field
• 7 or more years of relevant biotech and/or pharmaceutical industry experience preferred.
• Proficiency with at least one high-level programming language (R, Python, C++) for complex data analysis and reproducible research practices.
• Experience with cloud computing and data platforms.
• Experience analyzing high-dimensional molecular data, such as imaging, video, or transcriptomics.
• Experience working with a team of machine learning scientists and engineers 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 $150,000 – $225,000 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.