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Nutrition Research Analyst information

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$38.5K

$74K

$99.5K

How much do nutrition research analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for nutrition research analyst in the United States is $73,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What is a nutrition research analyst?

A Nutrition Research Analyst is a professional who studies dietary habits, nutritional data, and health trends to evaluate the effects of nutrition on health outcomes. They often work in academic, governmental, or private sector research settings, analyzing data from experiments, surveys, or clinical trials. Their work helps inform public health policies, develop nutritional guidelines, and advance scientific understanding of the relationship between diet and health. Nutrition Research Analysts may also publish findings in scientific journals and present results to stakeholders or the public.

What are some common challenges nutrition research analysts face when interpreting data from dietary studies?

Nutrition Research Analysts often encounter challenges such as participant self-reporting inaccuracies, variations in dietary assessment methods, and confounding lifestyle factors that can influence study results. Interpreting large, complex datasets requires strong statistical skills and careful attention to study design to ensure findings are valid and actionable. Collaborating with dietitians, biostatisticians, and other researchers is crucial to address these challenges and maintain the integrity of the analysis.

What are the key skills and qualifications needed to thrive as a nutrition research analyst?

To thrive as a Nutrition Research Analyst, you need a strong background in nutrition science, data analysis, and research methodologies, typically supported by a relevant degree such as nutrition, dietetics, or public health. Familiarity with statistical software (e.g., SPSS, R), database management, and sometimes certifications like Registered Dietitian Nutritionist (RDN) can be crucial. Critical thinking, attention to detail, and effective communication skills help analysts interpret complex data and present findings to diverse audiences. These competencies are vital for producing credible research that informs dietary guidelines, health policies, and evidence-based nutrition interventions.

What is the difference between Nutrition Research Analyst vs Nutritionist?

AspectNutrition Research AnalystNutritionist
CredentialsBachelor's or Master's in Nutrition, Dietetics, or related field; research experienceCertification or license as a Registered Dietitian (RD) or Nutritionist
Work EnvironmentResearch labs, academic institutions, healthcare organizationsClinics, hospitals, community health programs, private practice
Employer & IndustryResearch institutions, universities, government agenciesHealthcare providers, wellness centers, private practices
Common Search & ComparisonFocuses on data analysis, research studies, and scientific investigationFocuses on client counseling, diet planning, and health education

While both roles involve nutrition, a Nutrition Research Analyst primarily conducts scientific research and data analysis, whereas a Nutritionist provides personalized dietary advice and health counseling. The roles often overlap in education and industry but differ in daily responsibilities and work settings.

More about Nutrition Research Analyst jobs
What cities are hiring for Nutrition Research Analyst jobs? Cities with the most Nutrition Research Analyst job openings:
What are the most commonly searched types of Nutrition Research Analyst jobs? The most popular types of Nutrition Research Analyst jobs are:
What job categories do people searching Nutrition Research Analyst jobs look for? The top searched job categories for Nutrition Research Analyst jobs are:
Nutrition Research Analyst jobs near you
Infographic showing various Nutrition Research Analyst job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $73,965 per year, or $35.6 per hour.

Research Technology Specialist - Human Nutrition Research Center on Aging

Tufts University

Boston, MA • On-site

$81K - $120K/yr

Full-time

Re-posted 29 days ago

Tufts University rating

8.4

Company rating: 8.4 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

95th of 615 rated colleges and universities

Job description

Overview
The Jean Mayer USDA Human Nutrition Research Center on Aging (HNRCA) at Tufts University is an internationally recognized leader in the study of nutrition and its role in healthy aging. Our multidisciplinary research spans molecular biology, clinical trials, epidemiology, behavioral science, and data science. The HNRCA is committed to developing precision nutrition strategies that optimize health span and functional independence in diverse aging populations. Collaborating across academic, governmental, and industry sectors, the Center fosters innovation and translational impact through state-of-the-art research infrastructure and scientific expertise.
What You'll Do
This is a grant funded position and is not eligible for severance pay.
The Research Technology Specialist will provide technical, computational, and analytical expertise to support research at the intersection of precision nutrition, healthy aging, artificial intelligence, wearable technologies, and biomedical data science.
This position will contribute to data-rich research projects involving human studies, observational cohorts, lifestyle interventions, biomarker analytics, wearable and sensor-derived data, and high-dimensional omics datasets. The successful candidate will work closely with HNRCA scientists, trainees, and other collaborators to develop, implement, and refine computational tools that transform complex biological, behavioral, and environmental data into actionable scientific insights.
The role is intended for an individual who can bridge biomedical research and advanced analytics, contributing both hands-on technical implementation and scientific interpretation. The position will support federally funded and collaborative research initiatives focused on precision nutrition, aging, cardiometabolic health, functional resilience, and individualized responses to diet and lifestyle interventions
  • Design, implement, and maintain reproducible data pipelines for research studies in nutrition, aging, and health span.
  • Support the integration, cleaning, harmonization, and analysis of complex datasets, including clinical, dietary, behavioral, wearable, sensor, imaging, metabolomic, microbiome, genetic, epigenetic, and other biomarker data.
  • Develop and apply computational, statistical, and machine learning approaches to identify patterns of individual variability in response to diet, lifestyle, and environmental exposures.
  • Build, test, and deploy prototype tools for data collection, monitoring, signal processing, visualization, and decision support in human research studies. Help establish best practices for data documentation, reproducibility, code management, data security, and compliance with human-subject research requirements.
  • Analyze physiological, behavioral, spatial, or time-series data generated from wearable devices, mobile health tools, biosensors, GPS, accelerometers, continuous glucose monitors, or related platforms.
  • Contribute to predictive modeling efforts aimed at identifying biological or behavioral subgroups, risk trajectories, and individualized intervention responses.
  • Collaborate with faculty, trainees, statisticians, engineers, and biomedical researchers to ensure rigorous study design, appropriate data analysis, and meaningful interpretation of findings. Serve as a technical liaison between computational teams and biomedical investigators, helping translate research questions into analytical workflows and interpretable results.
  • Contribute to scientific manuscripts, conference abstracts, grant applications, progress reports, and presentations. Generate high-quality technical reports, dashboards, visualizations, and summaries to support publications, grant proposals, internal decision-making, and external presentations.

What We're Looking For
Basic Requirements:
Knowledge and experience typically acquired by:
  • Bachelor's Degree in biomedical engineering, computer science, data science, electrical engineering, bioinformatics, biostatistics, computational biology, applied mathematics, or a related quantitative or technical field.
  • 3 years of relevant experience in data analytics, computational research support, biomedical data science, digital health, human performance research, nutrition, aging, neuroscience, public health, or related fields.
  • Proficiency in Python and commonly used scientific computing and data science libraries, such as Pandas, NumPy, SciPy, scikit-learn, TensorFlow, PyTorch, Matplotlib, Seaborn, or related tools.
  • Experience working with complex, messy, or high-dimensional research datasets.
  • Familiarity with statistical modeling, machine learning, signal processing, or time-series analysis.
  • Ability to communicate technical findings clearly to both computational and non-computational scientific audiences.
  • Strong organizational skills and ability to work collaboratively across multidisciplinary teams.

Preferred Qualifications:
  • Master's Degree in biomedical engineering, computer science, data science, bioinformatics, biostatistics, computational biology, quantitative public health, nutrition science, or a related field.
  • Experience analyzing wearable sensor data, mobile health data, accelerometry, continuous glucose monitoring, physiological signals, GPS/location data, or other free-living behavioral data.
  • Experience with cloud computing, Git/GitHub, reproducible workflows, database management, REDCap, SQL, R, or workflow management tools.
  • Experience with multi-omics or biomarker datasets, including metabolomics, proteomics, microbiome, genomics, epigenomics, or lipidomics.
  • Experience contributing to peer-reviewed manuscripts, grant proposals, technical reports, or scientific presentations.
  • Familiarity with nutrition, aging biology, cardiometabolic health, frailty, resilience, cognitive aging, or health span research.
  • Familiarity with AI/ML applications in precision nutrition, digital health, public health, gerontology, or personalized medicine.
  • Ability to develop user-friendly visualizations, dashboards, or prototype research tools.
  • Knowledge of data governance, privacy, security, and regulatory considerations relevant to human-subject biomedical research.

Pay Range
Minimum $81,200.00, Midpoint $101,600.00, Maximum $120,900.00
Salary is based on related experience, expertise, and internal equity; generally, new hires can expect pay between the minimum and midpoint of the range.

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