Postdoctoral Fellow – Statistical Genetics and Artificial Intelligence
Core
Develop and apply statistical, computational, and machine learning methods to analyze large-scale human genetic and biomedical datasets for drug target discovery and precision medicine.
Role type
Postdoctoral Fellow (Statistical Genetics & AI)
Builds
Biological insights for therapeutic discovery
Domain
Biotechnology / Human Genetics / Artificial Intelligence
Deliverable
production ML models | research
Required skills
Statistical genetics, biostatistics, computational genomics, statistical modeling, machine learning, artificial intelligence, Python, R, C/C++, Linux environments, high-performance computing
Preferred skills
Peer-reviewed publications, large-scale genomic data analysis, innovative analytical approaches
Responsibilities
Conduct independent research at the intersection of statistical genetics and AI, develop and apply computational methods for genomic data analysis, analyze population-scale genomic and phenotypic data, contribute to genetic analysis workflows, collaborate with multidisciplinary teams, publish scientific findings
Seniority
Early-career researcher (Postdoctoral)