Research Data Analyst

About the role

The role involves gathering, analyzing, and interpreting a wide variety of research data. You will design and conduct research, including selecting data samples, developing research instruments, analyzing collected information according to established statistical methods, and developing recommendations based on research findings. The position prepares reports, charts, tables, and other visual aids to interpret and communicate data and results.

The Division of Gastroenterology and Hepatology in the Department of Medicine advances the understanding, diagnosis, and treatment of gastrointestinal and liver diseases. The division provides outstanding care to patients and has a longstanding reputation for excellence in hepatology research.

Responsibilities

• Establish analyzable data sets and document them for future use by statisticians.
• Perform range and quality checks and make recommendations to study staff for revising existing procedures to mitigate data errors.
• Design and conduct research, including data sample selection, research instrument development, and statistical analysis.
• Prepare reports, charts, tables, and other visual aids to communicate data and results.
• Develop recommendations based on research findings.

Requirements

• Bachelor's degree in a related area and/or equivalent experience/training.
• Demonstrated ability to work with others from diverse backgrounds.
• Self-motivated and works independently and as part of a team.
• Demonstrated problem-solving skills; able to learn effectively and meet deadlines.
• Demonstrated service orientation skills.
• Strong organizational skills and ability to efficiently manage a variety of tasks simultaneously.
• Ability to prioritize tasks appropriately.
• Strong quantitative training.

Preferred Qualifications

• Two (2) years of progressive programming experience or equivalent educational experience.
• Knowledge of data management systems, practices, and standards.
• Significant experience using SQL, R, or Python.
• Knowledge relating to logical data design, data warehouse design, data integration, or the management of web content or other unstructured data.
• Strong quantitative background, preferably in biostatistics, statistics, econometrics, or related fields.
• Significant experience using MS Word, Excel, and Access.
• Demonstrated effective communication and interpersonal skills, with the ability to communicate effectively with a diverse range of non-technical staff.
• Strong analytical and design skills, including the ability to abstract information requirements from real-world processes to understand information flows in computer systems.
• Ability to represent relevant information in abstract models.
• Critical thinking skills and attention to detail.
• Experience with longitudinal regression modeling and sample size calculations.
• Experience in scientific writing for publication.