The Center for Early Detection and Interception of Blood Cancers at Dana-Farber Cancer Institute seeks a full-time Research Data Specialist (RDS) to help with data entry, data quality assurance, and data reporting tasks related to non-interventional biobanking studies advancing understanding of blood cancers and their precursor states. The Research Data Specialist will be a member of the Center for Early Detection and Interception of Blood Cancers team and have dedicated focus on the collection, entry, reporting, and quality assurance of clinical data for studies following patients who have or are at risk for precursor conditions to multiple myeloma. This individual will play an integral role in ensuring data quality and accuracy across the Center’s studies and databases, and must show strong attention to detail and commitment to maintaining data integrity at all times.
The RDS will work under the supervision of the Center’s Senior Manager for Research Data Integration, as part of a team of data specialists, research assistants, and students with dedicated focus on data management. They will be responsible for the collection, entry, and quality assurance of clinical data for our non-interventional biobanking and database studies, including our PANGEA, PROMISE, and PCROWD studies. This individual will perform chart review in Epic, collect relevant data points, and enter information into REDCap and other electronic databases. They may contact study participants and external healthcare facilities via phone, e-mail, or fax to request medical records and data from external institutions. They will perform data entry into our REDCap databases of data from both internal and external medical records and data sources. They will check data for accuracy and escalate any quality concerns to the management team.
The RDS will also be responsible for creating data reports and custom datasets for internal researchers, using Microsoft Excel, REDCap, Business Objects, or other similar data reporting tools. They will build, edit, and maintain data collection forms in REDCap and other electronic data capture platforms. They will create data visualizations and present information at internal team meetings.
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 Performs chart review in the Epic electronic medical record, abstracts pertinent information, and enters the data into REDCap.Reviews REDCap databases for quality and completeness. Performs data quality checks on records previously entered into the database. Takes note of common data entry errors/quality issues and communicates this to the team.Communicates concerns about data integrity or ongoing data collection challenges with the research team. Participates in team discussions around how to design and improve the data annotation/quality-checking process. Contacts study participants or external healthcare facilities and coordinates requests for medical records from external facilities. Organizes and stores external medical records in secure file storage area.Abstracts pertinent information from external medical records and enters the data into the REDCap database(s).Responds to requests for data reports from Postdoctoral Fellows, Instructors, and other researchers on the Center for Early Detection and Interception of Blood Cancers team. Creates data reports using REDCap, Microsoft Excel, Business Objects, and/or other data reporting tools.Builds and edits data collection forms within REDCap and other research databases as directed.Performs other assigned tasks related to data cleaning, reformatting, and reporting. Attends weekly team meetings.Participates in onboarding and ongoing training, as required by the institution.Other responsibilities as assigned. Qualifications Bachelor’s degree required.0-1 year of related work, volunteer, or internship experience in a healthcare or clinical research setting.KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:
Proficiency in the use of Microsoft Excel, including entering, filtering and sorting data, creating charts and tables, and the use of basic formulas.Proficiency in the use of Microsoft PowerPoint.Working knowledge of a data management or statistical analysis software (such as RStudio or SAS) is preferred.Prior experience working with electronic medical record data and performing medical record chart review.Prior experience entering data into electronic data capture systems such as REDCap.Strong attention to detail and commitment to maintaining data integrity at all times.Must practice discretion and adhere to institutional confidentiality guidelines at all times.Excellent organizational and communication skills.Ability to effectively manage time and prioritize competing tasks for multiple projects simultaneously.Strong interpersonal skills - ability to effectively interact with all levels of staff and external contacts.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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