The Deyssenroth lab is welcoming talented and motivated individuals with a bioinformatics background to apply for a Senior Staff Associate I position in our lab at the Department of Environmental Health Sciences. The successful applicant will lead projects designing and implementing computational workflows using NGS datasets generated from biospecimens in human perinatal research studies. We are seeking individuals with extensive experience in programming (specifically in R as well as Unix/Linux shell scripting), implementing genomic analytic pipelines (including processing of RNA-sequencing and SNP genotyping data), working in a high performance cluster environment, as well as generating and maintaining reproducible workflows with version control (preferable using git). Individuals with prior experience working in an epidemiologic setting are particularly encouraged to apply. In addition to computational skills, we are seeking individuals with strong attention to detail, solid analytical skills, motivated work ethic to meet deadlines, ability to work on concurrent projects, and the ability to work independently as well as part of a team to move collaborative projects forward.
The successful applicant will:
Lead projects designing and implementing computational workflows using Next Generation Sequencing datasets generated from biospecimens in human perinatal research studies.
Perform statistical analysis linking environmental exposure, genomic profiles, and early life child health outcomes.
Lead and assist in manuscript preparation.
Oversee data curation and maintenance.
Communicate works-in-progress and findings with collaborators.
Bachelor's degree in specific research field and 6 -10 years experience.
Master's degree, or equivalent combination of education and experience preferred.
This position is intended for someone with a minimum of a Master's degree in epidemiology, biostatistics, genomics or related field and 2 years experience working with genomic and epidemiologic data.
Applicant must be well-versed in the R programming language.
Familiarity with relevant programming languages (Unix/Linux).
Genomic workflows (NGS pipelines including RNAseq and SNP genotyping).
Knowledge in tools that promote reproducible research (git, docker, etc).
Experience working in cloud computing environments.
Hiring Salary range:
$68,000 to $80,000
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.
Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.