Research Data Engineer I

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.

Job Location (Full Address):

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

Opening:

Worker Subtype:

Regular

Time Type:

Full time

Scheduled Weekly Hours:

40

Department:

400981 Neuro-Ctr Health & Tech/CTCC

Work Shift:

UR - Day (United States of America)

Range:

UR URG 109

Compensation Range:

$55,955.00 - $78,336.00

Responsibilities:

Supports the implementation and maintenance of analytical and data science-based software and data pipelines, enabling scientific workflows. Provides focused support in enhancing the data collection frameworks that integrate structured and unstructured data from multiple sources and systems to enable the use of data in specific research study teams. Maintains and supports the development of infrastructure systems (e.g., data warehouses, data lakes, etc.), including data access Application Programming Interface(s) (API). Receives guidance from and acts in support of a team aimed at providing robust, scalable software solutions to the research enterprise

ESSENTIAL FUNCTIONS

• Maintains and modifies Extract Transform and Load (ETL) data pipelines and overall data architecture to accommodate a growing amount of data from a variety of large research data sources. Maintains and modifies data transfer
• solutions for study protocol requirements outlined in the Data User Agreements.
• Works with research team members to support the conversion of protocol and technical requirements into professional clinical trial data collection software solutions. Ensures timely completion of tasks while managing multiple assignments, project timelines and business user expectations.
• Supports the implementation of custom, research project-specific data workflow solutions for data collection, management, reporting and analytics.
• Contributes to the scientific research.
• Adheres to and improves defined application development life-cycle practices, including but not limited to, requirements gathering, writing test plans, source code management, peer code review and quality assurance through unit/system/user acceptance testing.
• Participates in specification, implementation and execution of testing procedures to ensure quality of deliverables, system and data workflow reliability.
• Produces and maintains comprehensive technical and archival data files and documentation for all systems under the Engineer's responsibilities.
• Keeps abreast of current application developments through continuing education, professional reading, online forums, conferences, workshops and professional groups.
Other duties as assigned.

MINIMUM EDUCATION & EXPERIENCE

• Bachelor's degree in Data Science, Biomedical Science, Computer Science, Mathematics, Statistics or similar discipline required
• 1 year of experience in technology and data intensive roles and environments required
or equivalent combination of education and experience required

KNOWLEDGE, SKILLS AND ABILITIES

• General experience in technology-intensive environments required
• Programming experience in Structured Query Language (SQL) required
• Familiarity with 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
• Familiarity with genomics, metagenomics, flow cytometry or imaging files, metadata, and data standards required
• Programming experience, ideally in Java and Python and/or R preferred
• Experience with laboratory data management systems (e.g. biospecimen software, electronic laboratory notebooks, LabKey Server, REDCap) preferred
• Experience with Linux environments, Docker, and cloud technologies (e.g. AWS, Microsoft Azure, Google Cloud Platform) preferred
• Demonstrated ability to develop proficiency with unfamiliar toolsets preferred

LICENSES AND CERTIFICATIONS

• CITI HSP preferred
• CITI Good Clinical Practice preferred
• CITI Human Research preferred

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