Data Analyst - NHPRR - University of Massachusetts Medical School

POSITION SUMMARY:

Want to transform data into actionable insights and eager to make a tangible impact on cutting-edge research? The Nonhuman Primate Reagent Resource (NHPRR) at UMass Chan Medical School, under the leadership of Diogo Magnani, invites you to join our dynamic team as a Data Analyst. The successful candidate will join a growing resource with 25+ years of experience, delivering products to 1,000 research laboratories, representing 22 countries, and supporting over 3,600 grants. This is your opportunity to contribute to the advancement of groundbreaking discoveries in models of human diseases while working in a collaborative, innovative reagent resource focused on the development of biological products.

About the Role:

Reporting to the director and supported by a team of experienced mentors and managers, the Data Analyst will play a critical role in conducting advanced data analyses and developing comprehensive reports that support the strategic initiatives of NHPRR. You will be responsible for evaluating and enhancing state-of-the-art data management systems, identifying opportunities to improve system integration, and optimizing database operations. Our Informatics systems are designed to capture and report data from research, product development, manufacturing, e-commerce website usage, and impact studies.  This role is essential to ensuring that NHPRR continues to deliver specialized biologics to research laboratories worldwide and supports thousands of research projects that drive the future of science.

This position is ideal for a data-driven professional who thrives in a fast-paced, multi-project, product-oriented environment and is eager to apply their analytical skills to real-world challenges in biotechnology. Successful candidates will be problem solvers passionate about leveraging scientific, operational, and business data to inform decision-making and enhance research and operational outcomes.

MAJOR RESPONSIBILITIES:

• Design and develop data collection instruments, databases and procedure manuals based on thorough knowledge of data files, related databases, and systems integration.
• Design and implement data management and quality control procedures, including writing technical requirements and documentation of data sets.
• Participate in project meetings related to data analysis and management.
• Produce and report data analysis reports. May be required to provide tabular and graphic summaries of analyses in a form suitable for inclusion in manuscripts for publication in peer reviewed scientific journals as well as for presentation at scientific meetings.
• Conduct in-depth analysis of project data, performing computations with a high degree of independence.
• Ensure accuracy of reports by data review and resolving discrepancies internally for assigned reports.
• Provide interpretation of data to senior management.
• Provide periodic reports to management regarding status of assigned projects and recommend corrective actions when necessary.
• Schedule, plan, coordinate, and review project activities related to data.
• Review and monitor compliance with the federal and state regulations.
• Perform other duties as required.

REQUIRED QUALIFICATIONS:

• Bachelor's degree in a business, health sciences, or a related field or equivalent
• 4 years of related experience
• Demonstrated experience/skills in appropriate computer, statistical or database applications
• Demonstrated ability to research issues and resources; basic record-keeping and organizational skills
• Demonstrated ability to write reports, journal articles and/ or other technical documents
• Excellent communication, both oral and written
• Interpersonal skills necessary to interact successfully with a wide range of individuals

PREFERRED QUALIFICATIONS:

• Experience with SQL and reporting technologies such as Jasper, SSRS, or Crystal Report
• Experience with dashboard development technology such as Oracle APEX, SAP, Tableau, Power BI
• Experience with data preparation, data validation, and report validation
• Understanding of basic statistics
• Familiarity with clinical research operations in an academic medical center, preferred