Contract Role - Engineer, ML & AI (Scientific focused) - San Diego, CA

Mirador Therapeutics, Inc.•San Diego, CA

4d•$110,000 - $145,000•Onsite

About The Position

Mirador Therapeutics, Inc. is a clinical-stage precision medicine company focused on developing first-and/or best-in-class next-generation therapeutics for immunology and inflammation. The company’s Mirador360™ precision development engine leverages the latest advances in human genetics and data science to rapidly deliver new precision medicines for patients living with immune-mediated inflammatory and fibrotic diseases. Mirador has raised over $650 million from leading life sciences investors and is based in San Diego, CA. Mirador was named Best Places to Work by Biospace and is a Great Place to Work-Certified™ Company. We are seeking an experienced Contractor who will work within the Machine Learning (ML) & AI team, part of our Precision Medicine group. This person will focus on developing and applying AI/ML tools (including the use of large language models and development of AI agents) and creating scalable solutions to drive new insights and therapeutic hypotheses, and support our growing needs in accordance with overall project goals that will impact precision medicine and drug discovery.

Requirements

Bachelor’s, Master’s or PhD degree in Computer Science, Electrical Engineering, Biomedical Engineering, Mathematics, Physics, or related technical fields.
4 years or more of AI/ML experience required.
2 years or more of relevant biotech and/or pharmaceutical industry experience required.
Experience in developing, deploying, and maintaining AI/ML tools and pipelines at scale.
Experience analyzing high-dimensional molecular data, such as genetics, transcriptomics, and proteomics.
Experience with common bioinformatics tools, data types, and analyses.
Experience with R and Python with emphasis on AI/ML libraries (PyTorch, scikit-learn, etc).
Experienced with production coding standards, automated testing, and other engineering best practices.
Experience with cloud compute and storage platforms.

Nice To Haves

Experience with containerization tools.
Experience with data platforms such as RedShift, Snowflake, and Databricks, and data pipelining.
Familiarity with CI/CD practices in ML lifecycle.
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.

Responsibilities

Work with the ML/AI team to develop, optimize, and maintain scalable AI/ML tools and pipelines for large-scale data analysis, deployment, and monitoring.
Work with the ML/AI team to develop, optimize, and maintain agents, applications, and workflows based on LLMs for improving productivity and enabling research workflows.
Work cross-functionally to streamline data selection, integration, storage, and application for training and running AI/ML tools.
Work cross-functionally to identify and provide for downstream analysis and visualization needs.
Contribute to organization-wide decisions on data formats, cloud infrastructure for computing and storage, and other components of our technology stack.
Communicate with audiences at various technical and scientific levels.