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The Statistician in this role will have the title Associate Director of the Breast Oncology Statistical Program and is expected to work on clinical trials and translational research collaboratively with the Breast Oncology Program. This non-faculty position will have the title Senior Scientist. They will direct the activities of the junior statisticians within the group on projects and lead the analysis of more complex collaborative projects.
Job Responsibility:
Routinely directs and supervises data analytic activities of more junior statisticians and/or leads complex projects
Trains, mentors and oversees the design activities of more junior statistical staff
Acts as a key participant in the articulation of the collaborative vision, working with program leaders and clinical research directors on scientific program direction and research portfolio
Independently represents the department on DF/HCC and DFCI committees, including but not limited to Scientific Review Committees (SRC) and Institutional Review Board (IRB)
May direct and/or advise junior statisticians in working with investigators to prepare scientific manuscripts
Expertise in consulting with investigators on all aspects of grant submissions
Work with the grants manager on all administrative aspects, including budget
Advises on the need for more diversified responsibilities, both for themselves and for more junior statisticians who they may supervise
responsible for coordinating statisticians and assuring that investigators are aware of the direct path to statistical assistance
Regularly mentor and advise more junior statisticians in all aspects of their responsibilities and career development
Functions as team leader on projects, advises and supervises more junior members of the team and participates in the annual evaluation of more junior members
Requirements:
PhD degree in Statistics or Biostatistics and six years of experience required OR Master’s degree in Statistics or Biostatistics and ten years of experience
Experience in oncology and the design and analysis of clinical trials
Knowledge of UNIX/Linux and statistical software such as R or SAS
Expert at statistical methodology, and the use of statistical software, coding, data analysis and effective presentation of results
Comfortable with the statistical literature and able to implement state-of-the-art analytic techniques
Able to construct and implement complex study designs
Understands the nuances of data wrangling and has the ability to use sound principles of reproducible research methods
Adept at performing complex analysis methods and assessing underlying assumptions
Able to lead research teams and/or large projects
Independently discuss and present complex research designs and results to clinical collaborators
Shares ideas accurately and communicates them effectively, both in writing and verbally