Principal Scientist, Translational Genetics

Role: Principal Scientist, Translational Genetics, focusing on analyzing large-scale genomic datasets to identify therapeutic targets for cardiovascular and muscle diseases. Responsibilities include performing GWAS, multi-omics data integration, developing statistical and AI/ML models for disease risk prediction, and conducting Mendelian randomization studies. The role involves target validation, bioinformatics pipeline development, large dataset management, and cross-functional collaboration with biologists, clinicians, and data scientists. The candidate will present findings internally and externally, contribute to regulatory documentation, and support translational research efforts.

Qualifications: Ph.D. in Human Genetics, Bioinformatics, Computational Biology, or related fields; 6+ years of industry or relevant postdoctoral experience with demonstrated impact. Expertise in analyzing large genomic datasets, proficiency in R, Python, and bioinformatics tools, with preferred experience in Mendelian randomization, multi-omics integration, and cardiovascular therapeutics.

Preferred skills include cloud computing experience (AWS, Google Cloud), machine learning, deep learning, and longitudinal data analysis. A track record of peer-reviewed publications in statistical genetics or cardiovascular research is advantageous.

High-Value specifics: Focus on cardiovascular and muscle diseases, leveraging genomics, transcriptomics, and imaging data (e.g., cardiac MRI). Target validation and genetic target prioritization are key, with a strong emphasis on translating genetic insights into clinical applications. The position may involve collaboration with experimental and clinical teams to support preclinical and clinical development.