Data Scientist – Department of Women’s Health – Dell Medical School

Data Scientist – Department of Women’s Health – Dell Medical School

Requirements

• Bachelors degree in a related field
• At least 2 years of experience in Data analysis/science or related field
• At least 2 years’ experience with biostatistical and epidemiological knowledge for descriptive statistics, data cleaning/validation, clinical data quality assurance and outcomes, or research design
• Proficient in a range of statistical techniques and procedures
• Ability to use R and SAS
• Ability to perform power and sample size calculations
• Experience developing REDCap databases
• Ability to work in high-performing and multidisciplinary teams
• Team-oriented and collaborative working skills
• Ability to work independently and set schedule to meet deadlines
• Strong analytical and problem-solving skills
• Relevant education and experience may be substituted as appropriate.

Responsibilities

• Develops methodologies and databases for collecting data using REDCap, Qualtrics and other data collection platforms.
• Manages data for clinical/non-clinical trials in all stages of study from different sources: collection, extraction, quality control, cleaning, data manipulation, preparation.
• Provides insight into current health data architecture and possible solutions to barriers.
• Monitors for compliance with federal and state regulations as well as internal and partner requirements (such as IRB approval, Dell Medical School policies) needed to access or share health data.
• Serves as an internal resource to faculty, fellows, and residents to answer questions related to data access, data aggregation, and data management.
• Works closely with analysts and informatics staff and with external data teams in Dell Medical School’s partner institutions.
• Receives, manages and delivers requested data tasks; works with data requestors to translate data requests into logical queries using standard language and tools.
• Collaborates with investigators to develop statistical analysis plan.
• Carries out statistical analyses independently/completes statistical responsibilities for more complex projects with supervision.
• Performs power and sample size calculations.
• Helps to define research questions and then translates into appropriate methodologies and statistical analyses.
• When applicable, provides feedback about study design, protocols and feasibility as it relates to given timelines and setting.
• When applicable, assists with the interpretation of data.
• When applicable, assists with the preparation of data for presentations and publications.
• Regularly attends division research meetings, lab meetings and 1:1 meetings with collaborators inside and outside of the institution.
• When applicable, provides insight and feedback to improve department- and school-wide infrastructure and systems.
• Maintains department-wide databases.
• When applicable, provide mentorship to fellows and residents.
• Other related duties as assigned.

Preferred Qualifications

• PhD in related field or DrPh from accredited university
• Management and analysis of large, complex clinical research trials
• Familiarity with Gpower and PASS
• Familiarity with SmartSheet, Qualtrics and other data management programs