Assistant Research Scientist

University Of Georgia Athens , GA 30602

Posted 5 days ago

Position Information

Classification Title Researcher AC FLSA Faculty Rank Assistant Research Scientist Contract Type Fiscal (12 mo.) Tenure Status Non-Tenure Track Minimum Qualifications

Minimum Qualifications: PhD in statistic or comparable field. Those with a masters in statistics but a PhD in other disciplines where strong quantitative skills were applied are welcome to apply.

Position Summary

This position, funded by the U.S. State Department, will participate in quantitative research processes and analysis for a project on human trafficking in multiple countries in Western and Southern Africa ending in September 2025, subject to renewal. The studies use repeated measures to establish change over time in the reduction of human trafficking. We also evaluate and monitor our interventions. We are looking for an exceptional data analyst.

The CenHTRO Assistant Research Scientist will develop and revise robust quantitative research and analysis methodologies to examine data from research findings. This position will carry out quantitative research, analysis, and report-writing on tight deadlines with a high degree of independence. This position will also work collaboratively across the project team, located in multiple countries including the United States, United Kingdom, Sierra Leone, Senegal, Malawi, and Zambia.

Additional Requirements

Additional Requirements: Familiar with grant writing processes, ability to present results in simple forms to diverse audiences, peer-reviewed publications.

Relevant/Preferred Education, Experience, Licensure, and/or Certification

Three or more years of experience executing quantitative research design and analysis, such as survey methods, Bayesian methods, longitudinal analysis, causal inference, machine learning, artificial intelligence. Background working with hidden or hard to reach populations, especially human trafficking populations an added advantage. Expert coding skills in R; demonstrate a good publication record.

Preferred Knowledge, Skills, Abilities and/or Competencies

  • Proficiency working with R and other quantitative software.

  • Excellent data analysis and data visualization abilities

  • A deep understanding of statistical and machine learning models

  • Expert knowledge of survey methods and survey sampling designs.

  • Expertise working on large-scale quantitative survey data with thousands of sample sizes

  • Record of working on quantitative research in diverse cultural contexts.

  • Ability to work on quantitative teams with multiple faculty and graduate students.

  • Ability to produce written results with high degree of independence.

  • Excellent writing skills for a variety of audiences, including academic journals and policy stakeholders.

  • Ability to communicate clearly and effectively with domestic and international partners.

  • Excellent verbal and written communication and organizational skills.

  • Demonstrates professional behavior.

  • Exhibits a high level of initiative.

  • Ability to work independently and with multiple partners and stakeholders.

  • Ability to plan and implement required project responsibilities.

Physical Demands

Working in a standard office environment.

Is this a Position of Trust? No Does this position have operation, access, or control of financial resources? No Does this position require a P-Card? No Is having a P-Card an essential function of this position? No Is driving a responsibility of this position? No Does this position have direct interaction or care of children under the age of 18 or direct patient care? No Does this position have Security Access (e.g., public safety, IT security, personnel records, patient records, or access to chemicals and medications) No Credit and P-Card policy

Be advised a credit check will be required for all positions with financial responsibilities. For additional information about the credit check criteria, visit the UGA Credit Background Check website.

Background Investigation Policy

Offers of employment are contingent upon completion of a background investigation including, a criminal background check demonstrating your eligibility for employment with the University of Georgia; confirmation of the credentials and employment history reflected in your application materials (including reference checks) as they relate to the job-based requirements of the position applied for; and, if applicable, a satisfactory credit check. You may also be subject to a pre-employment drug test for positions with high-risk responsibilities, if applicable. Please visit the UGA Background Check website.

Duties/Responsibilities

Duties/Responsibilities

Research and Data Analysis

  • Conduct advanced analytics leveraging statistical models and machine learning models to deliver insights into the research findings.

  • Work with project team in efforts to develop robust quantitative research methods and data analysis techniques.

  • Work with large numbers of quantitative survey data.

  • Design, implement, and interpret the results of new survey experiments and studies.

  • Refine existing data analysis processes where needed.

  • Stay up-to-date on the relevant academic literatures in order to produce cutting-edge quantitative analyses.

Percentage Of Time 70 Duties/Responsibilities

Reporting

  • Write and publish reports and journal articles based on data analysis.

  • Support research proposal writing.

Percentage Of Time 30

Posting Specific Questions

Required fields are indicated with an asterisk (*).

Applicant Documents

Required Documents

  • Resume/CV

  • Cover Letter

  • List of References with Contact Information

Optional Documents

Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact University HR (hrweb@uga.edu).

The University of Georgia is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, ethnicity, age, genetic information, disability, gender identity, sexual orientation or protected veteran status.


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