Dallas, TX

Biostatistician I Hybrid

Job Duties

The Biostatistician I works on the design and conduct of clinical studies and the evaluation, interpretation, and reporting of study results. The Biostatistician I provides statistically sound experimental design and data analysis to meet project objectives and statistical requirements. The Biostatistician I keeps abreast of new developments in statistics through literature review and attendance of professional meetings.

The ideal candidate will have their Masters Degree, experience in design and conduct of research studies, and evidence of scholarly activities including publications and research. The ideal candidate will have experience with statistical software packages such as R, SAS, or SPSS, sample size calculation experience and excellent written communication skills.

Location/Facility Hybrid, Dallas

For more information on the facility, please click our Locations ({apply below} link.

Specialty/Department/Practice Biostat/Informatics

Shift/Schedule Day Shift/Full Time, M-F

Benefits Our competitive benefits package includes*:

Immediate eligibility for health and welfare benefits

401(k) savings plan with dollar-for-dollar match up to 5%

Tuition Reimbursement

PTO accrual beginning Day 1

*Note: Benefits may vary based upon position type and/or level.

QUALIFICATIONS

  • EDUCATION - Masters'

  • EXPERIENCE - Minimum/no experience required

As a health care system committed to improving the health of those we serve, we are asking our employees to model the same behaviours that we promote to our patients. As of January 1, 2012, Baylor Scott & White Health no longer hires individuals who use nicotine products. We are an equal opportunity employer committed to ensuring a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Recommended Skills

  • Biostatistics
  • Communication
  • Data Analysis
  • R (Programming Language)
  • Sas (Software)
  • Spss (Statistical Software)
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