Job Description

Overview

The Clinical Data Analyst is responsible for data needs related to the DFCI research community, including: managing the coordination, standardization, harmonization, quality assurance, and documentation new clinical data assets from a variety of operational and other sources into the DFCI enterprise data warehouse (DFDW); working with research teams to identify research data assets from the DFDW for use in research applications and databases, including structured and unstructured data; and working collaboratively with the Informatics staff to develop improved access to research clinical data through the Oncology Data Retrieval System (OncDRS) and the DFDW.

The Clinical Data Analyst is responsible for identification, analysis, specification, integration, and quality assurance of research data in the DFDW . In this capacity, the incumbent reports to the Associate Director of Research Data Acquisition and works closely with Data Services to identify and analyze potential data assets and integrate these assets into the DFDW. The incumbent is expected to manage this process with minimal guidance, from specification gathering through deployment, including liaising, and coordinating with external groups, producing detailed project plans, specifying underlying data components, and working alongside the existing Informatics technical and operational teams to ensure seamless integration and implementation within the existing Informatics workflows.

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

• Works with researcher to identify and define the data needs from DFCI, affiliates, and external systems to support cancer research.
• Mapping, curating, normalizing, and harmonizing additional clinical and operational data for the enterprise data warehouse.
• Participates in the development of data governance policies and processes to ensure that data usage complies with information security and privacy standards.
• Developing processes and analytics to measure and ensure the quality and completeness of research data being generated from operational and other systems.
• Developing and implementing a process by which external groups can access data from DFDW for research projects.
• Working closely with Informatics and other enterprise groups on enterprise-wide data/metadata documentation, data model specification, and the application of ontologies and terminologies to ensure the quality and usability of data for research users.
• Assisting with the creation, coordination, integration, and maintenance of controlled vocabularies and ontologies used in the DFDW.
• Responsible for the security and confidentiality of private clinical and financial information.
• Utilizes Dana-Farber Cancer Institute values to govern decisions, actions, and behaviors.

Qualifications

• Bachelor’s degree in Science, Mathematics, Business, Information Systems, Public Health, or a related field required.
• 3 years of performing data analysis with SQL in any of the related fields: customer-facing in IT, academic, or healthcare (clinical research, basic research, or administrative support to research).
• Proficient in SQL data analysis and exploration.
• Experience in data reporting or data mart development.
• Demonstrated experience working with customers and developing technical requirements.
• Experience working with electronic medical systems.
• Epic Clinical Data Model certification preferred.
• Understanding of Oncology data preferred.
• Understanding of electronic medical systems preferred.
• Proficient with relational databases (ie. Clarity Data Model) preferred.

KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

• Excellent interpersonal skills to effectively communicate, collaborate, and drive discussions that enable consensus-based solutions with cross-functional teams including clinicians, scientists, and technical and non-technical/scientific/medical staff.
• Excellent problem-resolution and analytical skills with meticulous attention to detail.
• Strong organizational skills including an ability to establish priorities, exercise good judgment, meet deadlines, and ensure issues are addressed promptly.
• Ability to adapt to frequent changes in priorities and demonstrate the ability to manage many moving pieces and projects simultaneously.
• Ability to effectively conduct meetings, both formal and informal including departmental and clinical user meetings.
• Self-motivated, possessing the ability and to learn quickly work under minimal supervision in complex environments.
• Ability to represent the interests and mission of DFCI consistently and ethically and act on behalf of its current and future patients.

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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