Research Data Engineer II

Job Location: 265 Crittenden Blvd, Rochester, New York, United States of America, 14642

Full-time, regular position with a scheduled 40-hour work week during day shift.

Compensation Range: $77,600.00 - $116,400.00

Responsibilities

• Works independently in a highly collaborative environment to support critical research databases and clinical data infrastructure.
• Designs, creates, tests, and maintains innovative medical research-focused “big data” repositories.
• Provides technical support to programmers using the databases for reporting and statistical analysis for large public and private grant support.
• Collaborates with teams who have diverse skill sets to solve complex problems requiring robust, scalable medical research database solutions.
• Designs and implements custom, research project-specific database infrastructure solutions for data collection, management, reporting, and analytics, ensuring efficiency, reusability, and maintainability.
• Develops, maintains, and modifies numerous large and complex medical research data sources and overall data architecture to support growing empirical research needs.
• Collaborates with local investigators, staff, and biostatisticians to understand requirements, data sources, and organization, and to develop tailored database solutions.
• Programs and tests applications according to study requirements, including writing test plans, managing source code, conducting team member code reviews, and ensuring quality assurance through unit and system testing.
• Produces and maintains comprehensive technical documentation.
• Develops expertise in programming, architecture, software life cycle, and testing through continuing education, professional reading, online forums, workshops, and professional groups.
• Performs other duties as assigned.

Requirements

• Bachelor's degree in Data Science, Biomedical Science, Computer Science, Mathematics, Statistics, or a similar discipline, and 2 years of experience in technology and data-intensive roles.
• Master's degree preferred.
• Equivalent combination of education and experience accepted.
• Programming experience in Structured Query Language (SQL) and one other applicable language (Java, Python, and/or R).
• Experience with Change Management solutions.
• Experience with Version Control solutions (e.g., Git).
• Experience implementing and supporting data management systems in a scientific or research context (e.g., biospecimen software, electronic laboratory notebooks, REDCap) preferred.
• Experience with Linux, container, and cloud technologies (e.g., HPC, IaaS, and PaaS) preferred.

Skills

• Understanding of data analytics and statistical methods.
• Expertise in software engineering best practices such as version control and software release management.
• Strong analytical and problem-solving skills.
• Strong organizational skills.
• Ability to work in a matrix management environment.
• Excellent communication skills for describing progress and challenges to stakeholders.
• Attention to detail, patience, and a positive, customer-centric attitude.
• Strong technical presentation skills.
• Demonstrated ability to develop proficiency with unfamiliar toolsets.
• Familiarity with file formats, metadata, and data exchange and storage standards applicable in scientific and clinical research.
• SAS programming experience preferred.
• SAS macro expertise preferred.

Qualifications

• SAS certification preferred.