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

Join our AI & Machine Learning team that develops and applies classical machine learning and deep learning models for different applications. We seek a talented individual to collaborate on development and application of deep neural networks (DNNs) and large language models (LLMs) leveraging multi-modal data (genetics, omics, EHR/text) to drive new insights and therapeutic hypotheses. In this position, the individual will be responsible to build, train, test, and maintain predictive, interpretable, and generalizable data models. The position will partner 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

• Explore state-of-the-art techniques in transfer learning and generative AI to enhance our capabilities.
• Build applications and workflows on existing LLMs, and fine tune LLMs for specific tasks.
• Design, develop, and deploy deep neural network models, evaluate and benchmark existing foundational models on custom data sets.
• 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).
  
  
  

Experience And Qualifications

• Ph.D. in Bioinformatics, Computational Biology, Computer Science (concentration on machine learning/AI), Engineering, Statistics, or a related field
• 2 years or more of relevant biotech and/or pharmaceutical industry experience or relevant academic experience.
• Proficiency with at least one high-level programming language (R, Python, C++) for complex data analysis, deep learning libraries (pytorch, tensorflow), and reproducible research practices.
• Experience with cloud computing and data platforms.
• Experience analyzing high-dimensional molecular data, such as genetics, transcriptomics, imaging, video.
• 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.
• Strong work ethic and are proactive in providing solutions to foster scientific collaborations and drive projects forward.
• Ability to work in a highly interactive environment with a diverse team of colleagues.
  
  
  

The expected base pay range for this position is $100,000 – $160,000 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.

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