Associate Director, Translational Genomics & Systems Biology - San Diego, CA

Mirador Therapeutics, Inc.•San Diego, CA

4d•$170,000 - $210,000•Onsite

About The Position

Mirador 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, has been named a BioSpace 2025 Best Place to Work, has earned the Great Place To Work Certification, and is based in San Diego, CA. We are seeking an accomplished Associate Director in Translational Genomics and Systems Biology to lead the design and analysis of translational studies that drive drug development in immunology and inflammation. The successful candidate will oversee a small team focused on designing and executing genomics research to identify and prioritize novel drug targets, optimize combinations or multi-specific antibody therapies, identify right disease indications for Mirador drug assets, and develop predictive models for treatment response and patient stratification. The role’s primary focus will be the integration and analysis of multi-omics and biomarker data to inform and support clinical development programs. This position is based in San Diego, CA, though exceptional remote candidates may also be considered.

Requirements

PhD in Genomics, Computational Biology/Bioinformatics, Computer Science, Data Science or a related field.
7 or more years of relevant biotech and/or pharmaceutical industry experience, with people management experience preferred.
Expertise in multi-omics data integration, including genetics, bulk RNA-seq, and single-cell RNA-seq, to identify genomic signatures underlying disease mechanisms and therapeutic responses.
Recognized as a subject matter expert (SME) in statistical genetics, GWAS/QTL integration, causal inference/discovery, or polygenic risk modeling, with a solid understanding of machine learning and systems biology.
Proven track record of leading a functional team to support and to advance cross-functional, multi-disciplinary research projects.
Excellent interpersonal and communication skills, with the ability to distill complex scientific data into clear, actionable insights that support strategic decision-making.
Strong work ethic and proactive problem-solving mindset, fostering effective scientific collaboration and driving projects toward successful outcomes.
Thrives in dynamic, fast-paced, and collaborative environments, working effectively with diverse teams across disciplines.

Nice To Haves

Background in inflammatory or autoimmune diseases, and experience in translational research, including biomarker data analysis and treatment outcome prediction for clinical trials, are highly desirable.

Responsibilities

Lead and contribute to translational research by performing genomics and biomarker data analysis that support both translational and clinical programs in immunology and inflammation disease areas.
Integrate and analyze public and proprietary genomic datasets to identify novel drug targets, nominate combinations or multi-specific antibody targets, and explore indication expansion opportunities for existing therapeutics.
Provide strategic guidance on diagnostic device development by leveraging genomic and biomarker insights to predict treatment response and stratify patient populations using network, pathway, and multi-omics analyses.
Collaborate with internal teams (Immunology, AI) and external partners (academic and industry) to generate functional data and develop systems biology and machine learning approaches that accelerate drug discovery and development.
Communicate analytical strategies and scientific findings to cross-functional teams including biology, clinical, and leadership teams to guide research and development decisions.
Supervise and mentor junior computational biologists or contractors to ensure timely execution of key project objectives and deliverables.