Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

The Trustees of Columbia University in the City of New York Postdoctoral Research Scientist in New York, New York

The Gamble Lab at Columbia University's Mailman School of Public Health (CU-MSPH) is recruiting highly motivated candidates for a Postdoctoral Research Scientist position. Funding is guaranteed for a minimum of two years.

Our laboratory conducts interdisciplinary research that seeks to understand the impact of nutritional and environmental exposures on human health. Our study team includes scientists and biostatisticians within CU-MSPH as well as colleagues from Emory, Mount Sinai, University of Chicago, and Baylor University. This team is leveraging banked biospecimens from our previously completed randomized, double-blind, placebo-controlled trials and state-of-the-art mass spectrometry platforms to measure responses of the human metabolome to well controlled intervention studies related to exposures to folic acid, arsenic and manganese. The resulting metabolomic datasets are complex and high-dimensional, requiring advanced modeling strategies to address questions of interest.

What We Offer:

  • space, time and other resources to take a leadership role in ongoing projects.
  • space, time, and other resources to pursue independent ideas, including the development of novel statistical methods.
  • full support and assistance with fellowship and research grant applications (e.g. K99).
  • training in high dimensional data analyses, machine learning, etc.
  • training in state-of-the-art metabolomics and collaboration with leading experts in the field.
  • assistance with career advancement.
  • networking opportunities and funding for conference travels.

Responsibilities may include:

  • Biostatistical analyses, including both classical statistical models and innovative machine learning models.
  • Advancing new projects within the lab.
  • Maintaining active collaborations with other labs and universities.
  • Preparation of manuscripts.
  • Mentoring doctoral students.

Minimum Degree Requirements and Qualifications:

Applicants should possess a Ph.D. in one or more of the following:

Biostatistics, Nutritional Biochemistry, Data Science, Epidemiology and/or Environmental Health Sciences. Expertise related to metabolomics / multi-omics is ideal but not required.

The position requires excellent written and oral communication skills and an eagerness to work as part of a collaborative team. Candidates must also have strong organizational and time management skills, the ability to work independently and to meet project deadlines.

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.

Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.

Minimum Salary: 31200.00 Maximum Salary: 31200.00 Salary Unit: Yearly

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