Clinical Research Coordinator - Brain Tumor Precision Medicine

Job Details

Job ID:

450 Brookline Ave, Boston, MA 02215

Clinical Research

Employment Type:
Full time

Work Location:
Onsite: 100% onsite


The data-oriented Clinical Research Coordinator will support the exciting work of the Breakthrough Cancer (BTC) and DFCI collaboration. This applicant will support various pan-cancer projects and researchers working to generate unprecedented data and treatment approaches for the deadliest cancers. The candidate’s work will be directed by  Drs. Ligon and Beroukhim to support the efforts and goals of the overall BTC consortium as well as specific projects ongoing in the glioblastoma team lab.

The candidate will work to facilitate translational biomarker driven research by applying tissue and data management skills. The position involves research in clinical trials, including trials of novel immunotherapies and targeted therapies related to brain tumors. The position will also provide applicants with outstanding opportunities for interaction and collaboration with physicians, clinical research staff, and basic researchers in a dynamic and exciting environment.

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.


  • Facilitate human research studies through sample and data collection and coordination.
  • Utilize REDCap, OncCore, Excel and other hospital information systems and statistical software analysis tools to perform clinical research and outcomes data analysis for research publications.
  • Manage various databases from multiple labs generating clinical and biological data of tumor and germline samples (including: spatial transcriptomics and proteomics, whole genome sequences, MRI imaging, and cell phenotyping).
  • Perform QA and QC procedures to ensure optimal data reporting as assigned.
  • Construct and maintain databases/programs to accommodate novel data types.
  • Transition biological data sets to public repositories (e.g. dbGAP, GEO).
  • Develop knowledge of specialized data sources specific to outcomes data reporting.


  • Bachelors Degree is required. Preferably in a scientific or engineering program.
  • 0-1 years’ experience working in a medical or scientific research setting or comparable technology orientated business environment is preferred but not required.
  • Requires close to moderate supervision.


  • Excellent organization and communications skills required.
  • Strong interpersonal skills – ability to effectively interact with all levels of staff and externals contacts.
  • Must be detail oriented and have the ability to follow-through.
  • Ability to effectively manage time and prioritize workload.
  • Must practice discretion and adhere to hospital confidentiality guidelines at all times.
  • Must have computer skills including the use of Microsoft Office.

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.

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