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The Clinical Effectiveness Research Center at the Department of Orthopedics and Sports Medicine of Boston Children's Hospital and Harvard Medical School seeks candidates for a position as a biostatistician. A Faculty appointment at the Harvard Medical School is possible, with rank commensurate, experience and scholarly contributions. Current research areas of interest in the Department include studies on surgical procedures and associated outcomes, the effectiveness of new technology to heal the native anterior cruciate ligament in the event of a tear, the effectiveness of new treatments for sport-related injuries, the effectiveness of robotic surgery for spinal conditions, the long term outcomes of former National Football League players and the association with injuries, the associations between physical activity and quality-of-life among young children, and the effectiveness of new ultrasound guided therapies for musculoskeletal conditions.

This Biostatistician will be responsible for:

• Teach basic analytic methods and statistical programming to clinical staff, trainees, and other BCH employees.
• Provide guidance to research teams on appropriate statistical methods as well as other project management tasks that influence the analysis.
• Collaborate on research with clinical investigators and epidemiologists.
• Review case report forms and database design.
• Identify statistical action items, develops timelines and gathers information about competing projects deadlines.
• Manage statistical deliverables for multiple projects.
• Independently checks manuscripts for numerical accuracy, writes statistical methods section, reviews result section for consistency with data analysis findings, and reviews conclusions to ensure interpretations are consistent with statistical results.
• Identify flaws and inconsistencies in the grant research proposal.
• Determine the accuracy of the sample size and power calculations in the statistical section.

• Master's degree in biostatistics or statistics. Master's degree in other quantitative fields can be considered depending on course work and experience.
• 6 or more years in biostatistics, epidemiology, and/or data science work preferred.
• Experience working with large patient registries and performing meta-analyses.
• Candidates should have a strong record of collaborative research.
• Extra consideration will be given to those with experience collaborating on grant writing, demonstrated ability to design and analyze randomized controlled trials and longitudinal observational studies.
• The candidate should have familiarity with SAS, SPSS, STAT, R, and/or Mplus.
• Experience in developing and evaluating measurement methods and tools and supervisory experience is preferred.
• Excellent writing and interpersonal skills are required.