Lead Biostatistician

At Johns Hopkins All Children’s Hospital, we offer first-class pediatric care, along with the best lifestyle anyone could imagine. In the heart of Tampa Bay, our main campus and state-of-the-art facility is located in downtown St. Petersburg, Florida and just minutes from restaurants, beautiful beaches, sports arenas and a multitude of family activities. We are committed to cultivating, nurturing and hiring the best talent for our organization and believe every person makes a difference in the lives of our patients and their families. We think you're going to love it here!

What Awaits You?

• Free onsite parking
• Career growth and development 
• Tuition Assistance
• Diverse and collaborative working environment
• Comprehensive and affordable benefits package

Position Summary:

Serve as Lead Biostatistician for the design and analysis of grant-funded and contracted multi-institutional (e.g., regional, national, and international) clinical research studies. Oversee the work of Biostatisticians and Senior Biostatisticians on multi-institutional studies, as Lead Biostatistician for the Johns Hopkins All Children’s Data Coordinating Center (DCC) for Pediatric Multicenter Studies. Collaborate with multicenter study Clinical Coordinating Center principal investigators locally and at other institutions to inform protocol design, statistical analysis plan development, and presentation and publication of multicenter study results, suitable for regulatory submissions (e.g., FDA, Institutional Review Board) and dissemination in peer-reviewed medical/scientific journals. Contribute as needed to investigator-initiated single-institutional study design, statistical analysis plan development and execution, and presentation/publication of findings.

Minimum Qualifications:

• Master’s degree in biostatistics or related scientific field required. PhD preferred
• Minimum of six (6) years of related experience required; demonstrated ability on significant graduate project or additional doctoral education may substitute for experience
• Strong quantitative skills
• Advanced knowledge in programming reproducible statistical code using STATA, SAS, R or other statistical software