Senior Engineer - Statistician in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Engineer - Statistician in United States.

This role sits at the intersection of advanced statistical analysis, epidemiology, and occupational safety and health research, supporting high-impact scientific studies.
You will apply statistical methods and programming expertise to analyze complex datasets, develop exposure models, and support evidence-based research outcomes.
The position contributes directly to scientific publications and regulatory research efforts, ensuring data integrity and methodological rigor across projects.
You will collaborate closely with researchers and scientists to design analytical approaches and interpret study results.
The environment is highly technical and research-driven, requiring precision, curiosity, and strong analytical thinking.
It is an ideal opportunity for a statistician who enjoys applying coding and modeling skills to real-world public health and occupational safety challenges.

• Provide statistical and epidemiological guidance for study design, data analysis, and methodological approaches in occupational safety and health research.
• Develop, validate, and apply statistical models to evaluate research hypotheses and support scientific conclusions.
• Clean, verify, and transform large datasets to ensure accuracy, consistency, and readiness for advanced analysis.
• Use statistical programming tools (e.g., SAS, R, Python, SQL) to perform data manipulation, modeling, and visualization.
• Contribute to the development of job exposure matrices and other structured analytical frameworks.
• Prepare statistically sound analyses and contribute to manuscripts intended for peer-reviewed journals and scientific publications.
• Collaborate with multidisciplinary teams, including researchers and senior analysts, to ensure methodological rigor and reproducibility.

• Master’s degree in Statistics or closely related field required, with experience in occupational safety and health research.
• Strong proficiency in statistical and database tools such as SAS, R, Python, MS SQL, or Dataverse.
• Experience applying statistical methods to real-world research datasets, preferably in epidemiology or public health contexts.
• Solid understanding of data cleaning, transformation, and preparation for advanced statistical analysis.
• Ability to interpret research objectives and translate them into appropriate analytical approaches and programming solutions.
• Strong written and verbal communication skills, particularly in supporting scientific writing and manuscript preparation.
• Proficiency with MS Office tools and collaboration platforms such as Teams and SharePoint.

• Comprehensive health coverage including medical, dental, and vision plans
• Life insurance, AD&D coverage, and disability protection (short-term and long-term)
• Flexible spending and health savings accounts with pre-tax savings options
• 401(k) retirement plan with employer match and immediate vesting
• Paid leave and holidays
• Professional development support including training, certifications, and tuition reimbursement
• Additional voluntary benefits such as legal services, identity theft protection, and accident insurance
• Inclusive and equal opportunity work environment