CBMHR – Biostatistician I
Texas Southern University
Houston, TX 77004
$87,339.81 - $111,358.25 a year
Description
Position Details
DISTINGUISHING CHARACTERISTICS:
This is a Grant Funded position.
- 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/GitHub, 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.
- 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.
- 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 with clinical trial statistics and regulatory standards is a plus.
- Experience with utilizing RedCap in clinical data collection and management is a plus.
- Ability to maintain the security or integrity of critical infrastructure, which may include communications systems, computer networks and systems, cybersecurity systems.
Preferred:
- Two or more years of research work experience.
- A record of impactful research publications in peer-reviewed journals.
- Experience in utilizing statistical models and software for data management and analysis.
- Routine office environment, sitting or standing in one location much of the time.
- Handling light weight objects.
- Using or carrying equipment.
- Traveling to professional conferences.