Research Data Engineer II - Jobright.ai : Job Details

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Job Summary:

The University of Rochester is committed to advancing knowledge and improving patient care through research. They are seeking a Research Data Engineer II to lead the development and maintenance of a centralized database for the Urology department, supporting clinical and translational research by designing data pipelines and integrating various data sources.

Responsibilities:

• Leads the effort to build and maintain a centralized database for the Department of Urology to add to the knowledge of the scientific community to enhance research and discovery and improve patient care as it relates to clinical research.

• Works closely with faculty and leadership to establish data needs and find creative solutions in order to support the department's strategic plan and research mission.

• Builds, maintains, and evolves general 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 that will support clinical and translational research on Urologic patients.

• These data sources include the Electronic Medical Record looking at procedures, medications, lab values, clinical notes, etc.

• Cancer Registries and Other Specialty databases might also be utilized.

• Works with research team members and faculty to understand data requirements for the project.

• Writes and optimizes SQL queries to extract and analyze data from databases.

• Extracts, transforms, and delivers accurate and timely data to support research projects and answer research questions.

• Designs and implements custom, research project-specific data workflow solutions for data collection, management, reporting and analytics.

• Manages request, extracting from data warehouse to report delivery in project specific format.

• Develops, implements, and maintains integrations between project specific databases (like REDCap) and the data warehouse (Hyperion).

• Troubleshoots and resolves issues related to API integrations and data flow.

• Participates in specification, implementation and execution of testing procedures, working with the lead department to validate data, ensuring completeness and accuracy, quality of deliverables, system and data workflow reliability.

• Adheres to defined application software development life-cycle practices.

• Produces and maintains comprehensive technical 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.

Qualifications:

Required:

• Bachelor's degree in data science, Biomedical Science, Computer Science, Mathematics, Statistics, or similar discipline

• At least two years of experience in technology and data intensive roles and environments, or equivalent combination of education and experience

• Programming experience in SQL and one other applicable language (Java, Python, and/or R)

• Experience with Change Management solutions

• Experience with Version Control solutions (e.g. Git)

• Understanding of data analytics and statistical methods

• Expertise of software engineering best practices such as version control and software release management

• Strong analytical and problem-solving skills

• Strong organizational skills

• Ability to work with others 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

Preferred:

• Experience implementing and supporting data management systems in a scientific, research context (e.g. biospecimen software, electronic laboratory notebooks, REDCap)

• Experience with Linux, container, and cloud technologies (e.g. HPC, IaaS and PaaS)

• Familiarity with file formats, metadata, and data exchange and storage standards applicable in management of scientific and clinical research

Company:

The University of Rochester is a private research university located in Rochester, New York. Founded in 1921, headquartered in Rochester, New York, USA, team size 10001+ employees, currently Late Stage.

Seniority level

• Seniority levelEntry level

Employment type

• Employment typeFull-time

Job function

• IndustriesSoftware Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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