Research Data Specialist - Breast Oncology Cohort Studies Program

The Research Data Specialist (RDS) will support the Breast Oncology Cohort Studies program under the auspices of the Principal Investigators, Director, and Research Manager, in the areas of clinical data collection and collation of biospecimens - specifically related to patients with germline mutations in the Department of Breast Oncology. Duties may include but are not limited to; the examination, synthesis, and evaluation of medical records;

the abstraction and recording of pertinent medical information; and the organization and collation of biospecimens collected within cohort studies. Position will work with investigators working on research studies focused on germline mutations (e.g. BRCA1/2) within Breast Oncology. Additional responsibilities will include the following:

• Reviewing and abstracting the medical records for patients, entering the clinical data into the databases supporting the cohort studies within Breast Oncology, and ensuring the proper entry of biospecimens into tracking systems across cohort studies.
• Retrieves archival tissue samples at outside institutions when relevant for translational studies.
• Coordinates the collection, processing, organization, and storage of biological specimens (including, but not limited to tissue, blood and stool) including maintenance of the specimen tracking systems in ca Tissue, REDCap and other study databases.
• Organizes samples for translational studies by completing manifests, labeling, and other required tasks and documentation needed to facilitate research.
• Responsible for coordination of linkage of data to provide clinical annotation with the biospecimens.
• Responsible for coordination and completion of essential regulatory documentation (e.g. protocol, material transfer agreement, and/or data use agreement) needed for access, use and transfer of samples to outside collaborators.

This is a hybrid position requiring remote & onsite days per week. The selected candidate must reside and work remotely in a New England State (MA, ME, NH, CT, RI, VT).

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.

• Evaluating and tracking the eligibility of all patients seen in the clinic for inclusion in the study.
• May assist or be responsible for consenting eligible patients in clinic.
• Maintaining on‑going communications with Information Services and physicians and staff for data collection needs.
• Reviewing and abstracting the medical records for patients. Entering the clinical data into the Clinical Research Information Systems (CRIS).
• Accessing patient demographic and clinical information from the clinical systems. Entering information into the database.
• Reviewing data for quality and completeness using reporting software.
• Collaborating with principal investigators, IS staff, and clinic staff in the continued development of the CRIS system.
• Assist principal investigators and staff in the creation of data reports for quality assurance measures.
• Coordinates the collection, processing, organization, and storage of biological specimens including maintenance of electronic specimen tracking systems (STIP) and laboratory binders.
• May be responsible for IRB and regulatory submissions and maintenance of regulatory files.

• Bachelor’s Degree or 1 year of Dana‑Farber Associate Research Data Specialist experience required.
• 0‑1 years’ experience working in a medical or scientific research setting or comparable technology orientated business environment preferred.