Instructor in Neurological Sciences (in Neurology and in the Gertrude H. Sergievsky Center) at the Columbia University Medical Center

Developing statistical methods to analyze complex traits and omics data, e.g. proteomics, evaluate methods to estimate heritability and genetic correlations, develop methods for estimation of polygenic risk scores, and detection of pleiotropy and interactions. In addition, analyzing complex trait sequence data that include admixed populations and family data e.g. late-onset Alzheimer's disease, age-related hearing impairment, tinnitus, asthma, and obesity. The successful candidate will also write and publish manuscripts and give presentations at international meetings.

• Ph.D. or related degree in bioinformatics, statistics, physics, epidemiology, genetics, computer science or another computational or biological related field.
• Previous experience analyzing next-generation sequence or genotype array data is highly desirable.
• It is also advantageous to have working knowledge in one or more programming languages e.g., R, Python or C .

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.