The Genetic Epidemiology laboratory at the Gertrude H. Sergievsky Center at Columbia University Irving Medical Center in New York City is seeking highly motivated Postdoctoral Research Scientists with formal training in Bioinformatics, Computer Science, Neurosciences, or Biostatistics. The position will provide a wide range of exciting opportunities to develop and apply advanced statistical and computational tools to conduct large-scale, high-impact, genetic epidemiology projects using multi-omics data focusing on Alzheimer's Disease and other age-related neurodegenerative diseases. The faculty members of the genetic epidemiology group are engaged in research focusing on gene mapping, functional genetics, and translational studies. The Gertrude H. Sergievsky Center at Columbia University houses a large number of scientists with expertise in clinical, epidemiological, neuropsychological, and genetics research since its conception in 1977.
The candidates will develop and apply bioinformatics and statistical genetics tools and methods to analyze high-throughput genomic and multi-omics data including genome-wide association studies, whole exome and whole genome sequencing data, transcriptomics, proteomics, epigenomics, or metabolomics, and other biomarkers to investigate putative molecular mechanisms in Alzheimer's Disease and other age-related neurodegenerative diseases. Our group enjoys collaborating with interdisciplinary groups from Columbia University Irving Medical Center with a wide range of expertise (e.g., Neurology, Epidemiology, Cell biology, Bioinformatics, and Statistics, etc.). The candidate will gain significantly from working with other scientists including Dr. Richard Mayeux (Gertrude H. Sergievsky Professor of Neurology, Psychiatry and Epidemiology, Chair of the Department of Neurology, Director of the Gertrude H. Sergievsky Center, and Co-Director of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain). A successful candidate will be advised by Dr. Annie Lee (Assistant Professor of Neurological Sciences in Neurology). Details of our work can be found at https://www.neurology.columbia.edu/profile/annie-j-lee-phd.
Requirements and Expectations:
Candidates must have a PhD degree in Bioinformatics, Computer Science, Neurosciences, Biostatistics or a closely related discipline plus two years of relevant work experience in genetics/epigenetics, statistical genetics epidemiology, or related field. Successful candidates should have solid training in genetics, excellent statistical and computational skills including shell scripting and programming proficiency in Python, C, C , or Java on UNIX/Linux environments, particularly with large text files and genomic data, and experience working with multi-omics data. Good written and verbal communication skills are required to publish manuscripts, write grants, and give presentations at national and international conferences. Strong self-motivation and ability to work independently, efficiently, and collaboratively with a highly interactive research group are important considerations. The Scientist will prepare data reports, conduct literature searches, design and perform experiments, data analysis and interpretation, and contribute to the writing of manuscripts and grant applications.
This position is open immediately until filled (expected start date Spring / Summer 2024). The appointment will be made for a two-year contract with a possibility for renewal. To apply, submit application materials (cover letter, CV, statement of research interests, and the contact information for at least three references) through our website. Please note- only applications submitted through our website will be considered.
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.
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