DEPT BIOSTATISTICS & HEALTH DA (IN-BSAT-IUINA)
- Performs data management tasks, including experienced data modeling, conversion, de-duplication, migration, and identification and repair of data quality issues.
- Designs, develops, and implements custom data systems and reconciliation tools, processes, rules, solutions etc. to validate data, match/merge, and upload batch lists.
- Creates and tunes complex stored procedures and queries for data management and extraction.
- Designs and builds out technical software mechanisms to accommodate multiple integrations accurately based on complex rules and custom solutions.
- Ensures documentation and security standards/protocols are recognized and followed.
- Provides experienced troubleshooting and problem analysis/resolution for data related issues; performs experienced scripting and modifications of application and products for corrective action
- Researches and stays up-to-date with data engineering best practices and approaches; stays abreast of latest security threats and risks to proactively address potential exposures.
- Degree in computer science, information science, or a related field.
WORK EXPERIENCE Required
- 2 years of data management, engineering, or related experience.
Combinations of related education and experience may be considered.
- 3 years of clinical research data management experience.
- Research experience in biomedical data.
- Proficient communication skills.
- Maintains a high degree of professionalism.
- Demonstrated time management and priority setting skills.
- Demonstrates a high commitment to quality.
- Possesses flexibility to work in a fast paced, dynamic environment.
- Seeks to acquire knowledge in area of specialty.
- Highly thorough and dependable.
- Demonstrates a high level of accuracy, even under pressure.
Working Conditions / Demands
- SAS (statistical software) or SQL (Structured Query Language) experience.
- R programming language, Python, OnCore, REDCap, Qualtrics, Tableau or other data visualization software experience.
- Familiar with, and hands-on experience in, clinical data standards such as: Study Data Tabulation Model (SDTM), Clinical Data Acquisition Standards Harmonization (CDASH), Analysis Data Model (ADaM), and Observational Medical Outcomes Partnership (OMOP) Common Data Model.
- Knowledge of Good Clinical Data Management Practices.
This role requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be able to perform the essential functions with or without an accommodation.Job Classification
Career Level: Career
Job Function: Information Technology
Job Family: Data Analysis & Engineering
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Due to the COVID-19 pandemic, there may be differences in the working conditions as advertised in our standard job postings (e.g., the ability to travel from one campus to another, etc.). If you are invited for an interview, please discuss your questions or concerns regarding the working conditions at that time.
This posting is scheduled to close at 11:59 pm EST on the advertised Close Date. This posting may be closed at any time at the discretion of the University, but will remain open for a minimum of 5 business days. To guarantee full consideration, please submit your application within 5 business days of the Posted Date.
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