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Assistant R Statistical Programmer Jobs in New York

Biostatistician

Summit, NJ · Remote

$160K - $220K/yr

... * Assist in writing relevant sections of the clinical study report and publication * Monitor ... Good knowledge of statistical programming languages (including SAS, R); * Solid oncology and/or ...

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Assistant R Statistical Programmer information

What is the difference between Assistant R Statistical Programmer vs Data Analyst?

AspectAssistant R Statistical ProgrammerData Analyst
Required SkillsProficiency in R, basic statistical knowledge, programming skillsData manipulation, visualization, statistical analysis, often using R or Excel
Work EnvironmentClinical research, pharmaceutical, or biotech industriesBusiness, marketing, finance, healthcare sectors
CertificationsOften requires a degree in statistics, biostatistics, or related fieldsDegree in statistics, data science, or related fields; certifications like CAP or Microsoft certifications are common

While both roles involve data analysis and programming skills, the Assistant R Statistical Programmer primarily supports clinical trials and pharmaceutical research, focusing on statistical programming in R. Data Analysts work across various industries analyzing data to inform business decisions. The roles share similar educational backgrounds but differ in industry focus and specific job functions.

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Staff Associate (Accounting)

Full-time

Posted 12 days ago


Job description

Description
Columbia Business School is seeking to hire one or more Staff Associates of research for the accounting division. The work will include quantitative and qualitative research and analysis involving the collection, coordination and management of information and data. This position provides an opportunity to gain experience in academic economics research and would be ideal preparation for a PhD program in accounting, finance, economics, or other related fields. This is a two-year position with a possible extension for a third year.
The Staff Associate duties involve work in one or more of the following areas of research: accounting, finance, economics, and statistics. Specific duties include:
  • Collect, clean, and maintain datasets and databases. Extract and link data from multiple databases for analysis. Prepare detailed documentation.
  • Develop models and implement program code (STATA, Python, SQL, R, SAS, Matlab, etc.).
  • Perform statistical analysis, including regression analysis and machine learning techniques.
  • Assist with data analysis and dissemination of findings through the preparation of reports, journal articles, presentations, web sites, and other research outlets.
  • Perform case-based research, including work with detailed primary documents.

Qualifications
Applicants for Staff Associate position are expected to have the following:
  • Programming experience in STATA and/or SAS and/or R is required.
  • Additional programming experience in one or more of the following languages: Python, SQL, Matlab, and/or C++ is preferred.
  • Familiarity with statistical tools such as linear regression is required.
  • Familiarity with text parsing and analysis (natural language processing) and/or machine learning techniques is preferred.
  • Candidate must be organized and able to work on multiple projects simultaneously.
  • Up to two years of research experience in a research role as a research assistant during the academic year or a summer internship in a research lab or governmental institution.
  • Bachelor's degree in Economics or Finance or Accounting or in a quantitative discipline such as Mathematics, Statistics, Engineering with coursework in Accounting, Economics and Finance.

For a complete list of all accounting faculty and their research interests, please search the CBS faculty directory.
Columbia University is an Equal Opportunity/Affirmative Action employer. Women and minorities are especially encouraged to apply.
Equal Employment Opportunity Statement
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.