Associate Director, Breast Oncology Statistical Program

Overview

The Department of Data Sciences at Dana-Farber Cancer Institute drives cancer research through innovation and collaboration in the quantitative sciences. The department is unified by a commitment to improving cancer care through data-driven approaches. We strive to understand the biology of cancer, test the efficacy of treatments and extract knowledge from complex datasets.

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

Responsibilities

The Statistician in this role will have the title Associate Director of the Breast Oncology Statistical Program and is expected to work collaboratively with the Breast Oncology Program. They will direct the activities of the junior statisticians within the group on projects and lead the analysis of more complex collaborative projects.

Responsibilities

Data Analysis: Routinely directs and supervises data analytic activities of more junior statisticians and/or leads complex projects.

Study Design: 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.

Service to Dana-Farber and Dana-Farber/Harvard Cancer Center: Independently represents the department on DF/HCC and DFCI committees, including but not limited to Scientific Review Committees (SRC) and Institutional Review Board (IRB).

Manuscript Preparation: May direct and/or advise junior statisticians in working with investigators to prepare scientific manuscripts.

Grant Preparation: Expertise in consulting with investigators on all aspects of grant submissions. Work with grants manager on all administrative aspects, including budget.

Research Portfolio Management: 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.

Mentoring Responsibilities: 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.

SUPERVISORY RESPONSIBILITIES: 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.

Qualifications

Qualifications

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, SKILLS, AND ABILITIES REQUIRED:

Computational Skills: Knowledge of UNIX/Linux and statistical software such as R or SAS.

Statistical Skills: 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 ability to use sound principles of reproducible research methods. Adept at performing complex analysis methods and assess underlying assumptions.

Collaboration: 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.

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.