Research Track Faculty in Human Statistical Genetics
Posted 25 Mar 2021
Washington University in St. Louis School of Medicine
St. Louis, Missouri
Applicants should submit a CV, a half-page description of their single most important paper to date highlighting the novelty of the findings (accepted, published, or BioRxiv deposited papers only), a two-page research statement, and the names/contact information of three references. Please send all requested material in one single PDF to Adam Suhy (email@example.com).
The Cruchaga lab in the Neurogenomics and Informatics Center, together with the departments of neurology, genetics, and psychiatry at Washington University School of Medicine is seeking an individual with experience in human statistical genetics.
The newly formed Neurogenomics and Informatics Center (NGI) is seeking exceptional Ph.D., M.D./Ph.D., or M.D. faculty candidates in basic and/or translational genomics or computational biology with a focus in neurodegeneration. The candidate will provide scientific and project managerial oversight for large-scale, multi-omic research projects. The ideal candidate will have strong expertise in GWAS, WGS, and RNA-seq analyses, and human statistical genetics.
The successful candidate will become integrated into the university’s neuroscience and genetics communities that feature highly successful members, a collaborative atmosphere, and broad research interests. The NGI is associated with several highly ranked graduate programs. The candidate will enjoy access to the NGI’s shared equipment, data, biospecimens, and expertise, as well as to specialized centers and state-of-the-art cores throughout the school of medicine.
The candidate will join a team of nine computational and statistical researchers working in bioinformatics, statistical genomics, and genetics. The complete team comprises over 20 people dedicated to understanding the architecture of neurodegenerative diseases.
Salary Range: Base pay commensurate with experience.
Pre-Employment Screening: All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. Current employees applying for a new position within the university may be subject to this requirement. The screenings will include a criminal background check and, as applicable for the position, other background checks, drug screen, employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
Benefits: This position is eligible for full-time benefits. Please click the following link to view a summary of benefits: https://hr.wustl.edu/benefits/.
EOE Statement: Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.
This position is a research-track faculty appointment at a rank commensurate with academic experience and qualifications.
The candidate will hold a Ph.D. in statistics, bioinformatics, computational biology, biostatistics, statistical genetics, medical statistics, mathematics, or similar. The candidate should have a strong background in GWAS (PLINK and SKAT-O), WES/WGS (BWA, GATK), or RNA-Seq analyses (STAR, SALMON, KALLISTO, DESEQ2). A working knowledge of UNIX, Perl/Python, R, and Docker are also required.