Research Data Analyst

Responsibilities

• Data Management and Integration
• Organize, curate, harmonize, and maintain large and complex clinical and research datasets from multiple ongoing studies and collaborations.
• Perform data cleaning, quality control, validation, and integrity assessments across multimodal datasets.
• Integrate clinical, molecular, biospecimen, and longitudinal patient data into standardized analytical frameworks.
• Assist with database organization, REDCap management, and biospecimen tracking systems.
• Statistical Analysis and Computational Support
• Perform statistical analyses and exploratory data analyses using R, Python, SQL, and/or related analytical platforms.
• Support biomarker discovery, patient stratification, longitudinal modeling, and outcome association analyses.
• Assist investigators with study design, data interpretation, and preparation of analytical plans.
• Contribute to reproducible analytical workflows and pipeline development.
• Data Visualization and Scientific Reporting
• Generate publication-quality figures, tables, dashboards, and graphical summaries for manuscripts, presentations, grant applications, and internal reports.
• Prepare analytical summaries for multidisciplinary research meetings and collaborative projects.
• Assist with generation of reports for regulatory, consortium, and funding requirements.
• Research Collaboration
• Work closely with investigators, clinicians, laboratory personnel, trainees, and external collaborators across translational research projects.
• Participate in multidisciplinary team meetings and contribute to scientific discussions and project development.
• Support collaborative efforts across clinical, laboratory, and computational research teams.
• Compliance and Data Security
• Ensure compliance with institutional policies, HIPAA regulations, IRB protocols, and NIH data-sharing requirements.
• Maintain secure handling of sensitive human subject and clinical research data.
• Contribute to documentation, data dictionaries, standard operating procedures, and workflow organization.
• REQUIRED QUALIFICATIONS
• Bachelor's or Master's degree in Data Science, Biostatistics, Bioinformatics, Computational Biology, Epidemiology, Computer Science, Biomedical Engineering, Public Health, or a related quantitative field.
• Experience with statistical programming and data analysis.
• Experience working with large datasets and relational databases.
• Strong analytical, organizational, and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively within a multidisciplinary team environment.

Requirements

• Experience analyzing biomedical, clinical, omics, or neurodegenerative disease datasets.

Benefits

Additional Information

Discover Vanderbilt University Medical Center : Located in Nashville, Tennessee, and operating at a global crossroads of teaching, discovery, and patient care, VUMC is a community of individuals who come to work each day with the simple aim of changing the world. It is a place where your expertise will be valued, your knowledge expanded, and your abilities challenged. Vanderbilt Health is committed to an environment where everyone has the chance to thrive and where your uniqueness is sought and celebrated. It is a place where employees know they are part of something that is bigger than themselves, take exceptional pride in their work and never settle for what was good enough yesterday. Vanderbilt's mission is to advance health and wellness through preeminent programs in patient care, education, and research. Organization: Neurology Admin 20 Job Summary: The Vanderbilt ALS Research Center (VARC) at Vanderbilt University Medical Center is seeking a highly motivated and collaborative Data Analyst to support translational research programs focused on amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD), and related neurodegenerative diseases. This position offers a unique opportunity to work within a rapidly growing multidisciplinary research environment integrating clinical research, biospecimen collection, biomarker discovery, multi-omics data analysis, and precision medicine approaches. The successful candidate will work closely with clinicians, scientists, bioinformaticians, trainees, and research staff to support data-driven discovery efforts aimed at improving diagnosis, disease stratification, and therapeutic development for ALS and FTD. . Position Summary The Data Analyst will assist with the management, integration, analysis, and visualization of complex research datasets generated across multiple translational research studies and clinical programs. The position will support projects involving clinical metadata, longitudinal patient outcomes, genomics, epigenomics, transcriptomics, proteomics, and fluid biomarker datasets. The ideal candidate is detail-oriented, highly organized, analytically driven, and comfortable working with large-scale human research datasets in a collaborative academic research setting.

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