Research Data Engineer II

The University of Rochester
Rochester, NY, United States
1 day ago
Apply on dejobs.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$77,600.0 - $116,400.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Big Data Clinical Data Repository Cloud Computing Code Review Computer Programming Databases Data Architecture Linux Electronic Data Interchange (EDI) Python (Programming Language) Metadata
+12 more
Cloud Services SAS (Software) Simple Data Format Software Construction Software Engineering SQL Databases System Testing Git Information Technology Data Analytics Data Management Software Version Control

Job description

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. Provide technical support to programmers using the databases for reporting and statistical analysis for large public and private grant support. Works cooperatively with teams who have diverse skill sets to solve complex problems that require robust, scalable medical research database solutions., * Design and implement custom, research project-specific database infrastructure solutions for data collection, management, reporting and analytics. Solutions need to be both efficient and comprehensive, taking into account reusability and maintainability.

  • Provide development, maintenance and modification of numerous large and complex medical research data sources and overall data architecture to provide information infrastructure for growing empirical research needs.
  • Collaborate with local investigators, staff and biostatisticians to understand requirements, sources of data, organization of data, and develop database solutions. Offer solutions and suggestions to provide optimum efficiency.
  • Programs and tests applications with regard to study requirements, writing test plans, source code management, team member code review and quality assurance through unit and system testing.
  • Produces and maintains comprehensive technical documentation.
  • Continues to develop expertise in programming, architecture, software life cycle, and testing through continuing education, professional reading, online forums, workshops and professional groups.
  • Other duties as assigned

Requirements

  • Bachelor’s degree in Data Science, Biomedical Science, Computer Science, Mathematics, Statistics or similar discipline and 2 years of experience in technology and data intensive roles and environments required
  • Master’s degree preferred
  • Or equivalent combination of education and experience
  • Programming experience in Structured Query Language (SQL) and one other applicable language (Java, Python, and/or R) required
  • Experience with Change Management solutions required
  • Experience with Version Control solutions (e.g. Git) required
  • Experience implementing and supporting data management systems in a scientific, 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

KNOWLEDGE, SKILLS AND ABILITIES

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

Benefits & conditions

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job’s compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

About the company

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive., Located in western New York, Rochester is our namesake and our home. One of the world’s leading research universities, Rochester has a long tradition of breaking boundaries-always pushing and questioning, learning and unlearning. We transform ideas into enterprises that create value and make the world ever better.

If you’re looking for a career in higher education or health care, the University of Rochester may offer the perfect opportunity for your background and goals.

At the University of Rochester, we are committed to fostering, cultivating, and preserving an inclusive and welcoming culture and are united by a strong commitment to be ever better-Meliora. It is an ideal that informs our shared mission to ensure all members of our community feel safe, respected, included, and valued.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dejobs.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

52 sec

Running persistent Linux environments directly on Windows

Ben Breard Ben Breard · World Congress 2025

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:30 min

Approaching data problems with an engineering and strategy mindset

Becky Gandillon · LIVE

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

Videos

See all

Related articles

See all