This position will remain open until a successful candidate has been identified.
UCSD Layoff from Career Appointment: Apply by 12/15/2021 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.
Special Selection Applicants: Apply by 12/27/2021. Eligible Special Selection clients should contact their Disability Counselor for assistance.
The UCSD Institute for Genome Medicine (IGM) is a center of excellence for organizing the multi-disciplinary resources necessary to effectively translate the discoveries of genetic and genomic research from "bench to bedside". The IGM aims to link clinical and genomic information to facilitate personalized health care. By combining UCSD’s expertise in Genetics, Disease Biology, and Clinical Practice with its strengths in Computer Science, Bioinformatics, and Systems Biology, the IGM is uniquely positioned to support all activities along the continuum of genomic medicine.
We are looking for a highly motivated statistical geneticist to work as part of the newly NHGRI funded Center for Admixture Science and Technology (CAST) at UC San Diego. The Computational Geneticist will investigate how the complex relationships between genetics, individual behavior, socioeconomic status and the environment influence health. The Computational Geneticist will work with large genetic datasets, such as the TOPMED, UK BioBank, GTEx, All of Us (AoU) and the Million Veterans Program (MVP) and will characterize the associations between genetic variation and disease in global and local ancestry-aware settings. The Computational Geneticist will be involved in the development of new methods that incorporate local ancestry and complex variants (TRs and HLA types) in multivariate models and polygenic risk scores (PRS) calculation, which will be benchmarked to determine accuracy across ancestries and admixed individuals.
Seven (7) years of related experience, education/training, OR a Bachelor’s degree in Computer/Computational/Data Science or related area plus three (3) years of related experience/training.
Proven skills and experience in independently resolving broad computing / data / CI problems using introductory and / or intermediate principles.
Broad experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI.
Proven experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators.
Intermediate knowledge of HPC / data science / CI.
Advanced skills, and demonstrated experience associated with one or more of the following: HPC hardware and software power and performance analysis and research, design, modification, Implementation and deployment of HPC or data science or CI applications and tools.
Ability to contribute research and technical content to grant proposals.
Effective communication and interpersonal skills. Ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences.
Thorough experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base.
Proven ability to understand research computing / data / CI needs, mapping use cases to requirements and how systems / software / infrastructure can support those needs and meet the requirements. Ability to develop and implement such solutions.
- PhD in a relevant research area such as genetics, genomics, or bioinformatics or degree in computer science or biology with experience in bioinformatics.
- Employment is subject to a criminal background check.