Scientist, Translational Genomics

Mirador Therapeutics 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.

Summary

We are seeking a talented translational genomics scientist to integrate and analyze multi-omics data, including genetics, transcriptomics, single-cell, medical imaging, and electronic health records—to accelerate drug development in immunology and inflammation. The successful candidate will design and execute genomics studies to identify and prioritize novel drug targets, optimize combination or multi-specific antibody regimens, and develop predictive models for treatment outcomes and patient stratification. The primary focus of this role will be the analysis of multi-omics and biomarker data to support clinical trials.

Responsibilities

• Design and execute genomic studies to uncover causal mechanisms underlying immune-mediated and inflammatory diseases by integrating multi-omics data from both public and proprietary sources
• Collaborate with the Immunology team and the broader R&D organization to provide data-driven guidance on study design, drug target validation, combination target nomination, and indication expansion for clinical assets
• Utilize genomic markers to predict treatment responses and stratify patient subpopulations through network and pathway analyses integrating multi-omics datasets and preclinical or clinical efficacy data
• Partner with internal teams (Immunology, AI) and external collaborators (academic and industry) to collect functional data and develop systems biology and machine learning approaches
• Contribute to and oversee translational study plans, author scientific reports, and present methods, findings, and conclusions to a publication-ready standard
• Communicate analysis strategies and scientific insights to members of cross-functional teams—including biologists, clinicians, and leadership

Experience and Qualifications

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Engineering, Statistics, or related discipline required
• 3 or more years of post-graduation or biotech/pharmaceutical industry experience required
• 2 or more years of relevant biotech/pharmaceutical industry experience in a related field
• Proficiency in at least one high-level programming language (e.g., R, Python, or C/C++) with demonstrated experience in complex data analysis and reproducible research practices
• Expertise in multi-omics data integration, including genetics, bulk RNA-seq, and single-cell RNA-seq
• Recognized as a subject matter expert in statistical genetics, GWAS/QTL integration, causal inference/discovery, or polygenic risk modeling
• Background in inflammatory or autoimmune diseases, and experience in translational research, including biomarker data analysis for clinical trials, are highly desirable