UCSD Layoff from Career Appointment: Apply by 06/11/21 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.
Special Selection Applicants: Apply by 06/22/21. Eligible Special Selection clients should contact their Disability Counselor for assistance.
The UCSD Department of Psychiatry is one of the most innovative and productive academic departments in the country, offering challenging career opportunities in the diverse areas of advanced educational programs, cutting-edge research, and state-of-the-art clinical services. The department is committed to offering a dynamic learning environment and growing opportunities to its talented and dedicated employees.
The Statistical Genetics Data Analyst III will support our NIH-funded projects focused on the analysis of whole-genome, exome and genome-wide association (GWAS) data in psychiatric and neurodevelopmental disorders. The goal of our research is understand how the combined effects of rare genetic variation and common polygenic risk influence brain development and dimensional measures of cognitive function, and ultimately, how genes shape the clinical features of mental disorders.
Under the direction of the PI, the incumbent will carry out statistical genetic analyses of large well-powered datasets from the Psychiatric Genomics Consortium, the Genes 2 Mental Health Network, the UK Biobank and the PsychEncode project. The incumbent will perform moderately to highly complex analysis of gene-trait relationships, functional characterization of genes, and will support multi-omics analysis of functional genomic data (RNA Sequencing, Ribosome profiling, Hi-C).
Analysis methods may include, but not be limited to, genetic association studies, repeated measures ANOVA and MANOVA, linear regression, factor analysis, nonparametric methods, logistic regression, survival analysis, discriminant analysis, permutation methods, tree-structured methods, cross-validated misclassification probability estimation, principle components, multiple comparison methods, and power analysis and existing statistical genetic software such as PLINK. These analyses will be conducted in a combination of scripting and statistical languages including Python and R. These efforts involve extensive usage of UNIX based super-computing systems, including programming statistical routines to be optimally run in such environments.
Incumbent will coordinate with and provide training to entry-level bioinformatics staff and graduate and postdoctoral trainees. Responsibilities include data analyses and generation of figures for new grant applications and independently write analytical method sections relating to the statistical analysis sections. Uses advanced knowledge and methodological skills to make independent contributions to the ongoing research, from conceptualization and planning to the writing of manuscripts. Incumbent is expected to be active in scholarly activities at UCSD, including regular attendance of relevant seminars in genomics, bioinformatics and computer science. There are ample opportunities for publication of scholarly work and travel to international scientific meetings, but frequent travel is not required.
Seven (7) years of related experience, education/training, OR a Bachelor's degree in related area plus three (3) years of related experience/training.
Thorough skills associated with statistical analysis and systems programming. Working experience with statistical methods and models incorporating a broad range of variable types and traditional and modern statistical approaches.
Proven skills in analysis and consultation. Expertise working with statistical methods and models incorporating a wide range of variable types for analysis of variance and covariance, multiple linear, logistic models, survival analysis and longitudinal models.
Skills associated with analyzing large datasets in a super-computing environment. Expert in manipulating large datasets, computing new variables, performing data management on multiple medical datasets, and using large and complex databases.
Skills to communicate complex information in a clear and concise manner both verbally and in writing. Excellent verbal and written communication skills, with the ability to interact effectively with a diverse group of people from faculty investigators to support staff.
Skills in project management.
Demonstrated skill in training personnel to perform statistical or bioinformatic tasks reliably with a relative degree of autonomy.
Proven experience in performing genetic and genomic analyses using standard software for genome-wide association studies, methylome and transcript
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 8 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom - life is their laboratory. UC San Diego's rich academic portfolio includes six undergraduate colleges, five academic divisions and five graduate and professional schools. The university's award-winning scholars are experts at the forefront of their fields with an impressive track record for achieving scientific, medical and technological breakthroughs.