Brown University Job - 45425573 | CareerArc
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Company: Brown University
Location: Providence, RI
Career Level: Entry Level
Industries: Government, Nonprofit, Education


Job Description:

The Biostatistician will participate independently and as a member of a research team in the design, conduct, and analysis of CSS clinical trials under the direction of faculty and senior Biostatisticians. The Biostatistician will be responsible for programming efforts related to study monitoring and analysis, and may be asked to participate in design and writing efforts. The Biostatistician plays a key role in the development and production of study forms, data validations, query reports, and global study reports for clinical studies by providing statistical, programming, and clinical trials expertise. They will participate in Group-wide and study-specific conference calls, and in BDMC and CSS committees.

Job Qualifications 


  • Required:  Masters degree in Biostatistics, Statistics or Biometry.  (A Masters degree in Epidemiology, Health Services Research, Applied Mathematics or related field may be sufficient if all appropriate statistical coursework has been completed, or combination of extensive statistical training and experience.)


  • Experience implementing and familiarity with standard statistical techniques for clinical trials of diagnostic imaging, including testing for association, regression and survival analysis, basic study design, and methods for the analysis of diagnostic test accuracy studies. etc.  

  • Some experience in Clinical Trials or Biomedical data analysis.


Job Competencies

  • Familiar with data maintenance and manipulation (variable creation, data checking, etc.)

  • Preferred: knowledge or experience implementing big data analysis/machine learning.

  • Excellent communication skills both written and verbal.

  • Proven ability to work effectively on multiple projects at the same time and learn complex technical concepts.

  • Proficiency in a major statistical software package (SAS, Stata, R or S-Plus). 

  • Experience computing in both a Windows and UNIX environment is also desirable.

  • Possess a willingness and ability to support a diverse and inclusive environment.

  • This position works with and analyzes confidential and human subject data and, as such, requires the incumbent to maintain an up-to-date Protection of Human Research Subjects certification through the Brown University Office of Research Integrity.

  • All offers of employment are contingent upon a criminal background check and education verification satisfactory to Brown University.

  • This is a fixed term position with a current end date of 2/28/2025 which may be extended based upon available funding.


Recruiting Start Date:


Job Posting Title:



Center for Statistical Sciences


Grade 10

Worker Type:


Worker Sub-Type:

Fixed Term (Fixed Term)

Time Type:

Full time

Scheduled Weekly Hours:


Position Classification:

Hybrid Eligible

Submission Guidelines:

Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

Vaccination Requirements:

In order to maintain 90% or greater universal vaccination rates on campus, all newly hired employees at Brown University must receive the final dose of the COVID-19 vaccine before they begin work, unless they are approved for a medical or religious exemption. All employees must also receive a COVID-19 booster within thirty (30) days of becoming eligible. For more information, please visit the Healthy Brown site.

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EEO Statement:

Brown University is an E-Verify Employer.

As an EEO/AA employer, Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person's race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, in the administration of its policies, programs, and activities.

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