Director, Translational Genomics & Precision Medicine
Mirador Therapeutics, Inc.
Summary
We are seeking an accomplished Director in Translational Genomics and Precision Medicine 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 designing and executing genomics research. The team will identify and prioritize novel drug targets, optimize combinations or multi-specific antibody therapies, identify appropriate disease indications for Mirador drug assets, and develop predictive models for treatment response and patient stratification. The Director will also lead the development of agentic AI applications and the automation of genomic data ingestion and analysis.
Job description
Summary
We are seeking an accomplished Director in Translational Genomics and Precision Medicine 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 designing and executing genomics research. The team will identify and prioritize novel drug targets, optimize combinations or multi-specific antibody therapies, identify appropriate disease indications for Mirador drug assets, and develop predictive models for treatment response and patient stratification. The Director will also lead the development of agentic AI applications and the automation of genomic data ingestion and analysis.
The role's primary focus will be the integration and analysis of multi-omics and biomarker data to inform and support translational and clinical development programs.
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.
Experience and Qualifications
- PhD in Genomics, Computational Biology/Bioinformatics, Computer Science, Data Science or a related field.
- 10 or more years of relevant biotech and/or pharmaceutical industry experience, with people management experience.
- 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. A solid understanding of machine learning and agentic AI applications is also required.
- 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.
Skills and Abilities
- 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.
Requirements
- PhD in Genomics, Computational Biology/Bioinformatics, Computer Science, Data Science or a related field
- 10 or more years of relevant biotech and/or pharmaceutical industry experience
- People management experience
- Expertise in multi-omics data integration including genetics, bulk RNA-seq, and single-cell RNA-seq
- Subject matter expert in statistical genetics, GWAS/QTL integration, causal inference/discovery, or polygenic risk modeling
- Understanding of machine learning and agentic AI applications
- Proven track record of leading a functional team on cross-functional, multi-disciplinary research projects
- Excellent interpersonal and communication skills
- Strong work ethic and proactive problem-solving mindset
Benefits
- Bonus
- Equity
- Comprehensive benefits
Company overview
Mirador Therapeutics, Inc. is a next-generation precision medicine company founded in 2024 and headquartered in San Diego, California. The company focuses on developing transformative therapies for immune-mediated inflammatory and fibrotic diseases by leveraging its proprietary Mirador360™ precision development engine. This innovative platform integrates cutting-edge human genetics research with advanced data science and machine learning to accelerate the discovery and development of targeted treatments. Mirador has raised over $400 million from leading life sciences investors including ARCH Venture Partners, demonstrating strong financial backing for its ambitious mission. The company is led by a team of experienced executives, many of whom previously worked at Prometheus Biosciences before its acquisition by Merck. Mirador's approach aims to revolutionize precision medicine in immunology and inflammation by identifying novel therapeutic targets, developing companion diagnostics, and stratifying patient populations for more effective clinical development.