We work at the intersection of rigorous research and real-world delivery. Our projects span dietary measurement, analytics, and implementation support—helping governments, health systems, and responsible industry partners make clearer decisions with measurable impact.
Careers
Join a multidisciplinary team turning nutrition science into decision-grade evidence for policy, programs, and real-world impact.
Why join TheraVita?
Global scope, real-world data
Work with diverse datasets and applied questions—from dietary surveillance and measurement to program evaluation and impact reporting, spanning observational research and clinical trial design and analysis.
Rigorous, transparent methods
We prioritize reproducibility, clear documentation, and defensible outputs. You’ll contribute to work that stands up to scrutiny and is designed to be used.
Growth & innovation
You’ll work with modern analytics workflows and tools, with structured feedback, mentorship, and opportunities to build new skills over time.
Current openings
We hire selectively as projects grow. If you don’t see an open role that matches your profile, you are welcome to submit an expression of interest.
Biostatistician / Dietary Data Analyst (Nutrition Epidemiology)Remote (Greece) | Contract (project-based)
We are looking for a biostatistician to support dietary data analysis across large-scale nutrition datasets and surveys. The role focuses on producing robust, well-documented analyses and decision-ready outputs, working closely with our scientific team.
What you’ll do
You will contribute to data preparation and quality checks, support harmonization across dietary datasets, run statistical analyses and sensitivity checks as needed, and produce clear tables, figures, and technical notes. You will also support transparent documentation so outputs are reproducible and audit-ready.
What we’re looking for
Strong statistical foundation and experience with Stata and R and/or Python (SQL is a plus). Familiarity with complex survey data, dietary intake data (e.g., 24-hour recalls or food records), and epidemiologic methods is highly valued. Attention to detail, clear communication, and comfort working in structured workflows (version control and documentation) are essential.
Apply
Please submit your CV (PDF) and a short note describing your relevant experience (including datasets and methods you have worked with). Links to LinkedIn and a GitHub/portfolio, or a brief analysis/writing sample, are welcome.
Didn't find a suitable position?
We are always looking for potential talent to join our team. You can submit an expression of interest via our contact form, just make sure to apply for “Career Opportunities”.
