The mission of the USDA Human Nutrition Research Center on Aging at Tufts University (HNRCA) is to promote healthy aging through nutrition science to empower people seeking to enjoy long, active, and independent lives. HNRCA investigators examine how nutrition and physical activity play a role in the prevention of the major chronic degenerative conditions and diseases associated with aging.
The HNRCA’s Biostatistics and Informatics Core consults and assists in study design, implementation, and data analysis/management and develops new statistical techniques and software to support HNRCA research activities. Scientists confer with the unit in the early stages of a study to discuss project goals, available resources, accepted statistical, bioinformatics and data management practices, and the appropriate response variables and covariates for proper statistical analysis. The core also works closely with other scientific cores to ensure the generation and release of high-quality scientific data.
What You'll Do
The major responsibilities of this position include:
Support for the Biostatistics and Data Management Core Unit and the Dietary Assessment Core Unit with data cleaning
Data manipulation and the management of dietary data output from dietary recalls entered in NDSR (Nutrition analysis software), as well as data generated from 24-hour recalls and food frequency questionnaires.
Development and maintenance of SAS programs for quality assurance processes and the coding of nutrition and dietary pattern scores development of clinical databases and electronic data capture forms,
Guiding the adoption of best practices for data collection, curation and archival across core units and scientific laboratories through development and management of research data management plans.
What We're Looking For
Bachelor’s degree in health sciences or related field and at least two years of experience in data management and SAS programming
Experience working with SAS macro and SQL procedures
Strong data management skills including the ability to handle and organize data from different sources, and perform quality control processes
Strong attention to detail and good organizational skills
Working knowledge of Good Clinical Practice, clinical research, clinical trial processes and related regulatory requirements and terminology
Strong verbal, written, interpersonal, and team skills
Demonstrated proficiency in English language skills (reading, writing, and speaking).
Proficient in Microsoft Office, including Excel and Access
Master’s degree in statistics or health sciences-related field and 2-3 years of experience in a research setting
Intermediate programming and analysis experience using SAS, R, Microsoft Excel, Microsoft Access and relational databases for data management and quality control
Working knowledge of relational databases
Strong time management skills and ability to handle multiple projects, organize work, and set priorities to meet deadlines while working within prescribed time constraints
Confidentiality and discretion are essential
Demonstrate a professional and ethical manner at all times
Minimum $52,600.00, Midpoint $65,750.00, Maximum $78,900.00
Salary is based on related experience, expertise, and internal equity; generally, new hires can expect pay between the minimum and midpoint of the range.
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