Field Work Summer Student Jobs (NOW HIRING)

will provide short-term data management and reporting support to the Men of African Descent and Carcinoma of the Prostate (MADCaP) consortium. The primary objective of this work is to improve the organization, quality, completeness, and reporting readiness of participant data collected across multiple MADCaP R01 study instruments and source files.
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.
• Reviewing and consolidating participant data from multiple study forms, surveys, and tracking spreadsheets into standardized reporting datasets.
• Reconciling participant identifiers across enrollment, questionnaire, clinical, pathology, biospecimen, treatment, and follow-up datasets to ensure accurate linkage of records.
• Extracting and organizing key data elements from multiple instruments, including participant demographics, clinical characteristics, pathology findings, biospecimen information, treatment history, quality of life measures, cognitive assessments, anthropometric measurements, and longitudinal follow-up outcomes.
• Updating standardized master tables that integrate information across multiple study forms and visits to support consortium reporting and analysis activities.
• Reviewing datasets to update missing, duplicate, inconsistent, or incomplete records and generating data quality reports for resolution by the project team.
• Supporting validation of pathology, follow-up, and clinical outcome data collected across participating study sites.
• Standardizing variable names, coding structures, and data formats across datasets to improve consistency and facilitate pooled analyses.
• Creating summary tables and reports describing participant enrollment, biospecimen collections, pathology findings, treatment outcomes, and follow-up status to report out at upcoming MADCaP meetings and share will collaborators.
Deliverables
• Consolidated reporting datasets integrating data across multiple MADCaP study instruments.
• Updated standardized participant-level master tables linking enrollment, clinical, pathology, biospecimen, treatment, and follow-up information.
• Data quality reports identifying missing, inconsistent, or incomplete records requiring review.
• Summary tables supporting grant reporting, consortium meetings, manuscript development, and research analyses.
• Documentation describing data consolidation methods, quality control procedures, and reporting workflows.
This work will support MADCaP consortium data management activities by improving the quality, consistency, accessibility, and reporting readiness of study data across the R01 project.
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 committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate 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.
EEO Poster
Pay Transparency Statement
The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications.
For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).
$31,200.00 - $41,200.00