Overview
The Associate Director, Data Analysis and Management, under the Director and the PI of the Cohort Studies, is responsible for the oversight, management and coordination of the data analysis and management related to cohort and translational studies in the Department of Breast Oncology. The primary focus of the Associate Director, Data Analysis and Management is the oversight of analytic dataset generation for specific outcomes and translational research studies. The Associate Director, Data Analysis and Management will also supervise the Senior Research Project Manager (Sr. RPM) in the oversight and management of the central research databases supporting the cohort studies and the associated data abstraction and quality assurance processes for the clinical data.
More specifically, the Associate Director will oversee, direct and supervise the work of the Sr. RPM, Data Management, along with the team of Senior Research Data Specialists (RDS) who conduct medical record abstraction and BOC cohort programmers/analysts. As part of the main responsibilities overseeing data analysis for specific investigator outcomes and translational studies, the Associate Director will work collaboratively to execute the analytic plans and to generate robust datasets with the faculty investigators, the team of cohort programmers/analysts, and the Head of Women’s Cancers Biostatistics and her team of biostatisticians. The Associate Director, Data Analysis and Management will also work closely and collaboratively with staff members such as the Associate Directors of Cohort Studies Operations and Translational Research, other Research Project Managers at all levels in the Breast Oncology Department, as well as the Institute’s AIOS team and other key stakeholders. Day-to-day responsibilities include overseeing and facilitating all data-related queries, generating of study datasets in collaboration with the investigators, programmers and biostatisticians, and maintaining standard data management processes and quality assurance procedures for the department’s databases. Most importantly, this individual is responsible for creating a proactive, knowledgeable and cohesive data analytic and management platform that will support the research community in collaboration with the Director and PI of the Cohort and Translational Studies Program in BOC.
The selected candidate may only work remotely within the New England states (ME, VT, NH, MA, CT, RI).
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
SUPERVISORY RESPONSIBILITIES:
Qualifications
KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:
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.
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.
