Назад
Company hidden
3 дня назад

Postdoctoral Research Assocate

63 000 - 66 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Postdoctoral Research Assocate (Food Policy/Machine Learning): Conducting U.S. domestic food policy research on SNAP purchase restrictions and household purchases of ultra-processed foods using transaction-level data, econometric methods, machine learning, and causal inference. Focus on evaluating food assistance policies, analyzing restricted administrative data, writing journal articles, and presenting research findings.

Location: College Station, Texas, United States; on-site presence required and remote work is not available.

Salary: $63,000–$66,000 per year, commensurate with experience.

Company

hirify.global is part of Texas A&M AgriLife and conducts agriculture and life sciences research within the Texas A&M University System.

What you will do

  • Evaluate SNAP purchase restrictions and other food and nutrition assistance policies.
  • Study how food policies affect household purchases of ultra-processed foods.
  • Clean and analyze transaction-level purchase data, including Circana and NielsenIQ data, using econometric and machine learning methods.
  • Work with restricted data in Administrative Data Research Facilities.
  • Write journal articles and present findings at conferences and meetings.
  • Collaborate with the research team and support grant reports, proposals, and other research duties.

Requirements

  • Ph.D. in Agricultural Economics completed by the start date. Candidates whose doctoral degree has not yet been conferred must provide official certification that all degree requirements have been met and include the degree conferral date.
  • Working knowledge of Stata.
  • Strong written and oral communication skills.
  • Ability to work effectively both independently and as part of a team.
  • Applicants must be authorized to work in the United States and must not require employment visa sponsorship now or in the future.

Nice to have

  • Research experience with SNAP or other food and nutrition programs.
  • Experience with program evaluation methods such as difference-in-differences and event studies.
  • Experience analyzing transaction-level or scanner purchase data, including Circana or NielsenIQ data.
  • Experience working with restricted data in an ADRF or similar secure data environment.
  • Strong programming skills in Python and experience applying machine learning methods.

Culture & Benefits

  • One-year position funded through grants or contracts; continued employment depends on funding availability and satisfactory performance.
  • Flexible work schedules may be available depending on the role, although this position requires on-site work.
  • Health, dental, vision, life, and long-term disability insurance with employer contributions.
  • 12–15 paid holidays, sick leave, and vacation leave.
  • Automatic enrollment in the Teacher Retirement System of Texas, wellness initiatives, and professional development through Aspire, LinkedIn Learning, and internal programs.

Hiring process

  • Submit a complete application or resume, CV, cover letter, writing sample, references with contact information, and applicable certifications or additional documentation.
  • Employment is contingent on credential verification, a criminal history investigation, and other required institutional checks.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →