Baylor College of Medicine

Houston, TX

ID: 7110231 (Ref.No. 12840-en_US)
Posted: September 10, 2022
Application Deadline: Open Until Filled

Job Description


Seeking to hire an entry-level biostatistician/statistician to join the behavioral and physical activity research group in the Biostatistics and Data Research unit, Children’s Nutrition Research Center (CNRC).  A large part of this role will be working in predictive and/or machine learning statistics.


This is an onsite role.

Job Duties

  • Performs duties under the guidance and supervision of a senior biostatistician
  • Assists senior biostatisticians in performing mathematical statistical work covering a variety of statistical methods, background research, and analysis
  • Apply basic data analytical techniques including descriptive summaries, data visualization, and basic modeling approaches, including but not limited to t-test, ANOVA, their non-parametric analogues, chi-square, correlation, and regression
  • Implements data management tasks and study documentation procedures
  • Assists faculty conducting background research and methods development
  • Assists with interpretation of results including significant factors, relationships, and trends
  • Writes technical reports on findings of statistical investigations
  • Assists with dissemination of mathematical or statistical concepts to non-statistical audience


Technical Requirements:

  • Stay current with knowledge related to the analytical methods needed to analyze different types of data formats and structures
  • Stay current with statistical programing and ability to use different software to address the increasing complexity of health-related data
  • Utilize quantitative and qualitative data to discover, validate, and enhance the Biostatistics and Data Research unit to benefit the CNRC research and methods development portfolio
  • Participates in research and evaluation studies to develop methodology by refining current methods, integrating different methods, or creating novel methods
  • Apply measurement and analytical best practices to solve real world statistical challenges
  • Conduct literature reviews pertinent to study design or statistical concepts 

Minimum Qualifications

  • Bachelor's degree in Statistics, MIS, or related field.
  • Two years of relevant experience.

Preferred Qualifications

  • Bachelor's degree in one of the following fields: Math, Statistics, Data Science, Experimental Design, Economics, or related field with 2+ years of applied experience or a Master degree with 1+ years of applied experience in one or more of these fields
  • Fluent with data and data structures from various sources; able to conduct quality control, query, analyze, and report results to answer relevant research questions
  • Strong communication skills
  • Working knowledge in predictive and/or machine learning statistics including, but not limited to multi-level regression, semi-parametric models, latent variable modeling, and multivariate analysis
  • Comfortable with joining interdisciplinary project teams and provide technical support 



Baylor College of Medicine requires employees to be fully vaccinated -subject to approved exemptions-against vaccine-preventable diseases including, but not limited to, COVID-19 and influenza.


Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.



Baylor College of Medicine fosters diversity among its students, trainees, faculty and staff as a prerequisite to accomplishing our institutional mission, and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. - Diversity, respect, and inclusiveness create an environment that is conducive to academic excellence, and strengthens our institution by increasing talent, encouraging creativity, and ensuring a broader perspective. - Diversity helps position Baylor to reduce disparities in health and healthcare access and to better address the needs of the community we serve. - Baylor is committed to recruiting and retaining outstanding students, trainees, faculty and staff from diverse backgrounds by providing a welcoming, supportive learning environment for all members of the Baylor community.