Job Details

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Harvard University
  • Position Number: 2937871
  • Location: Remote
  • Position Type: Science - Statistics

The Center for Biostatistics in AIDS Research (CBAR), an organization within the Harvard T.H. Chan School of Public Health, is responsible for the design, monitoring and statistical analysis of clinical trials and observational studies for several major national and international NIH-funded clinical research networks. CBAR employs over 100 statisticians and epidemiologists including Harvard faculty, research scientists and staff. Investigators within CBAR have provided statistical leadership and support for clinical research networks for more than twenty five years. Currently this includes infectious disease networks such as: the AIDS Clinical Trials Network (ACTG), the International Maternal Pediatric Adolescent AIDS Clinical Trials Network (IMPAACT), the Pediatric HIV/AIDS Cohort Study (PHACS), and the Influenza Research Collaboration (IRC). Results from studies have helped to establish the paradigm for the treatment and prevention of HIV and other infectious diseases, and contributed to international treatment and prevention guidelines.CBAR is looking to hire a Statistical Analyst/Programmer for studies undertaken by the IMPAACT. This position is responsible for statistical analysis and programming support for clinical trials and observational studies, including all aspects of work from study development through monitoring; interim, primary and secondary analyses; and dissemination of results.

The Statistical Analyst/Programmer will work with study protocol teams to further the infectious diseases research mission of CBAR and collaborating researchers. Under guidance of a senior statistician/epidemiologist, duties include, but are not limited to: assisting with statistical analysis and programming activities for individual studies and cross-study efforts; providing statistical programming solutions and ensuring their efficient implementations under supervision and consistent with standard operation procedures; helping to determine and develop approaches to technical solutions; producing accurate and reliable results; maintaining awareness of and familiarity with various risks associated with a study and the impact on the quality of deliverables; managing timelines and scope based on resourcing and priority constraints; and building and maintaining effective working relationships with collaborating researchers and study team members.

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