Research Scientist Biostatistics-CBMHR

Security Sensitive Position

Yes

Hours of Work

8:00 AM - 5:00 PM M-F

Posting Number

TSU
203618

Official TSU Title

Research Scientist Biostatistics-CBMHR

Grant Title

Research Scientist Biostatistics-CBMHR

Job Summary

The Center for Biomedical Research (CBMHR) invites applicants for a research scientist position with training and skills in biostatistics. The position is an external grant‑funded position. We especially encourage applications from candidates working in the areas of biostatistics and health outcomes research with emphasis on pharmaepidemiology, pharmacoeconomics, patient outcome research, population health, public health, and translational research or closely related fields.

The new research scientist will be expected to be part of a dynamic research team with biomedical, behavioral, and clinical research projects. Responsibilities will include conducting rigorous academic research to contribute to a dynamic faculty team in expanding public health, health outcomes, and epidemiology research.

Distinguishing Characteristics

The successful candidate should be able to demonstrate a strong commitment to excellence in scholarly research and teaching. Responsibilities will include conducting rigorous academic research and contribute to a dynamic faculty team in the expansion of the research activities.

This is a Grant Funded position.

Essential Duties Summary Study Design & Consultation

• Collaborate with principal investigators and research teams to design clinical and biomedical studies, ensuring appropriate statistical methodology.
• Develop statistical analysis plans (SAPs) aligned with project goals, regulatory requirements, and scientific rigor.
• Provide input on sample size calculations, randomization schemes, and power analyses for grant applications and protocols.

Data Management & Analysis

• Clean, manage, and analyze large and complex biomedical datasets, including clinical, genomic, and laboratory data.
• Apply statistical models such as linear and generalized linear models, survival analysis, mixed‑effects models, longitudinal data methods, and Bayesian methods as appropriate.
• Conduct simulations or advanced statistical modeling for novel research questions and method development.

Programming & Reproducible Research

• Write efficient, reproducible code for data processing and statistical analyses using R, SAS, Python, STATA, or other statistical software.
• Develop automated workflows, reproducible reports, and version‑controlled analyses using tools like R Markdown, Git/Git Hub, and workflow management systems.

Communication & Dissemination

• Summarize findings in tables, figures, and technical reports for manuscripts, conferences, regulatory submissions, and internal presentations.
• Interpret complex statistical results for investigators with varied levels of quantitative training.
• Contribute to peer‑reviewed manuscripts as a co‑author or lead analyst.

Collaboration & Project Leadership

• Serve as a statistical point of contact for multiple concurrent biomedical research projects.
• Train or mentor junior analysts, research assistants, or students in statistical methods and software.
• Maintain project timelines, ensure data integrity, and support compliance with institutional and federal research regulations.

% FTE

1.0

Hiring Range

$98,509.22 - $

Education

Master degree in Biostatistics, Statistics, Data Science, or a closely related field from an accredited institution.

Required Licensing/Certification

N/A

Knowledge, Skills, and Abilities Knowledge of

• Current software used in teaching, research, and presentation.
• Strong understanding of study design, hypothesis testing, regression modeling, survival analysis, and multivariate methods.

Skills in

• Strong intrapersonal, written, and verbal communication.
• Detail oriented.
• Ability to work collaboratively with a team of professionals.
• Ability to work independently and exercise sound judgment.
• Excellent problem‑solving and decision‑making.
• Multitasking and time management.

Work Experience

• Proficiency in statistical programming (R required; SAS, Python, or MATLAB a plus).
• Experience with analyzing high‑dimensional or specialized biomedical data (e.g., omics, imaging, EHR data) is a plus.
• Familiarity…