What are the responsibilities and job description for the Sr. Biostatistician position at Hill Research?
Company Description Hill Research is a healthcare AI company based in Princeton, NJ and Boston, MA, focused on transforming clinical trials for pharmaceutical organizations. The company leverages Generative AI and a multi-agent large language model (LLM) framework to accelerate the final stages of clinical development. Hill Research delivers end-to-end AI-driven solutions from trial design through FDA submissions, including intelligent decision support, compliance optimization, and safety predictions. By streamlining trial operations and shortening clinical cycles, the company helps significantly increase the likelihood of successful drug approvals. Team members collaborate at the intersection of data science, biostatistics, and advanced AI to impact real-world patient outcomes.
Role Description The Sr. Biostatistician is a full-time, on-site role based in Princeton, NJ. This position is responsible for designing and reviewing statistical aspects of clinical trial protocols, including endpoints, sample size calculations, and analysis plans. Day-to-day tasks include developing and validating statistical models, performing advanced analyses such as survival and longitudinal data analysis, and generating tables, listings, and figures for study reports and regulatory submissions. The Sr. Biostatistician collaborates closely with clinical, data management, and AI engineering teams to ensure high-quality, compliant, and interpretable results. Additional responsibilities include contributing to statistical sections of regulatory documents, supporting responses to health authorities, and mentoring junior team members on best practices in biostatistics and programming.
Qualifications
- Strong foundation in Statistics and applied biostatistics, including clinical trial methodology and experimental design with 5 years experience.
- Proficiency in Statistical Programming using languages such as SAS, R, or Python for data manipulation and analysis.
- Hands-on experience with Statistical Software tools and environments commonly used in pharmaceutical and clinical research settings.
- Advanced capabilities in Survival Analysis and time-to-event methods, including censoring, hazard modeling, and related techniques.
- Demonstrated Analytical Skills for interpreting complex datasets, identifying trends, and presenting clear, data-driven conclusions.
- Master’s or PhD in Biostatistics, Statistics, Applied Mathematics, or a related quantitative field.
- Experience working on clinical trials or in pharmaceutical, biotech, or healthcare research environments.
- Familiarity with regulatory requirements and guidelines (e.g., FDA, ICH) and standards for clinical data and statistical reporting.
- Ability to communicate statistical concepts to non-technical stakeholders and collaborate in cross-functional teams.
- Experience with AI-driven or computational methods in healthcare research is a plus.