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ICAP - Data Analyst (Staff Associate)

Working under the general direction of the Senior Research Director, the Data Analyst develops analysis plans from data collected by country research teams, conducts statistical analyses for investigators conducting country specific or multi-country analysis, and assists with the presentation of findings in publications and presentations.

MAJOR ACCOUNTABILITIES

  1. Review, analyze and clean Optimal Models (OM) data from country teams and create analytic datasets for OM investigators conducting country specific or multi-country analyses. Assist with the development of SAS code to assist other ICAP staff with OM analysis.

  2. Collaborate with investigators to develop and execute detailed analysis plans that include existing and newly formulated variables and descriptions statistical procedures and modeling techniques for use in OM research projects.

  3. Write all required SAS codes for conducting analysis; code, analyze and produce all tables, figures and other output for review with investigators; create all final formatted tables for reports, papers and publications.

  4. Assist with development of reports, presentations and manuscripts.

  5. Other duties as directed

EDUCATION

• Master’s degree in biostatistics, epidemiology or related field

EXPERIENCE, SKILLS & MINIMUM REQUIRED QUALIFICATIONS

• Minimum 3 years of relevant experience in statistical analysis. • Demonstrated experience working with large, health related datasets. • Demonstrated expert knowledge of statistical software including SAS and STATA. • Demonstrated knowledge and experience writing SAS codes. • Strong analytical and organizational skills. • Demonstrated experience working independently and in a team environment.

EXPERIENCE, SKILLS & PREFERRED QUALIFICATIONS

• Demonstrated experience working with HIV-related data.

TRAVEL REQUIREMENTS

• Requires international travel, approximately 4 trips annually, with each trip lasting 7 to 10 days.

Please note, this is a 1 year assignment.

How to apply:

To apply for this position, please cut and past the following web address to your browser: academicjobs.columbia.edu/applicants/Central?quickFind=55784