CBMHR – Biostatistician I

Texas Southern University

Houston, TX 77004

$87,339.81 - $111,358.25 a year


Description

Security Sensitive Position?
Yes

Hours of Work
8:00 AM - 5:00 PM M-F

Position Details

Position Information

Posting Number
TSU203689

Official TSU Title
CBMHR – Biostatistician I

Grant Title
CBMHR – Biostatistician I

Job Description Summary / TWC Summary
JOB SUMMARY:
The Center for Biomedical Research (CBMHR) invites applicants for a biostatistician position with training and skills in biostatistics. The position is externally grant-funded. We especially encourage applications from candidates working in biostatistics and health outcomes research, with an emphasis on pharmaepidemiology, pharmacoeconomics, patient outcomes research, population health, public health, and translational research, or closely related fields. Under the supervision of Dr. Hongmei Wang, the new biostatistician will be expected to be part of a dynamic research team working on 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 demonstrate a strong commitment to excellence in scholarly research and teaching. Responsibilities will include conducting rigorous academic research and contributing to a dynamic faculty team in expanding 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/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.

% FTE
1.0

Hiring Range
$87,339.81 - $111,358.25

Education
Master’s degree in Biostatistics, Statistics, Data Science, Public Health, 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 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.

Working/Environmental Conditions
  • 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.

Desired start date

Position End Date (if temporary)

Posting Detail Information

UA EEO Statement
It is the policy of Texas Southern University to provide a work environment that is free from discrimination for all persons regardless of race, color, religion, sex, age, national origin, individuals with disability, sexual orientation, or protected veteran status in its programs, activities, admissions or employment policies. This policy of equal opportunity is strictly observed in all University employment-related activities such as advertising, recruiting, interviewing, testing, employment training, compensation, promotion, termination, and employment benefits. This policy expressly prohibits harassment and discrimination in employment based on race, color, religion, gender, gender identity, genetic history, national origin, individuals with disability, age, citizenship status, or protected veteran status. This policy shall be adhered to in accordance with the provisions of all applicable federal, state and local laws, including, but not limited to, Title VII of the Civil Rights Act.

Close Date

Open Until Filled (overrides close field)
Yes

Special Instructions to Applicants
Open to all applicants.


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