Research Data Engineer I

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Job Location (Full Address):

250 East River Rd, Rochester, New York, United States of America, 14623

Opening:

Worker Subtype:
Regular

Time Type:
Full time

Scheduled Weekly Hours:
40

Department:
250548 LLE-Laboratory for Laser Energ

Work Shift:
UR - Day (United States of America)

Range:
UR URG 109

Compensation Range:
$55,955.00 - $78,336.00

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.

Responsibilities:

The NSF OPAL project at the University of Rochester is seeking to hire a Research Data Engineer to support the design and implementation of data science-based software and data pipelines, to enable scientific workflows of a potential future research facility. Assists in the design, documentation, and development of the facility requirements, operations concepts, integration and commissioning plans, and project management products. Receives guidance from and acts in support of a team aimed at providing robust, scalable software solutions to the research enterprise

ESSENTIAL FUNCTIONS

• Architecture development, requirements management, interface documentation, scheduling, integration, test and evaluation, risk management and design analysis.
• Supports the architecture development of custom, research-specific data workflow solutions for data collection, management, sharing, reporting and analytics.
• Collaboration with a multifunction team - project management, project engineers (mechanical, optics, electrical, IT), scientists and experimentalists, and students to ensure functional integration and requirements compliance through system design, development, testing, and sustainment.
• Participation in design discussions for project WBS elements and contribute to developing design solutions based on analysis of requirements and new/reuse technologies.
• Capture and translation of project needs into systems requirements and solutions.
• Developing quality assurance/acceptance test plans.
• Analysis of alternative architectures and designs, trade studies, engineering assessments, and change control processes.
• Keeps abreast of current application developments through continuing education, professional reading, online forums, conferences, workshops and professional groups.
• Ensures timely completion of tasks while managing multiple assignments, project timelines and organization expectations/priorities.
• Other duties as assigned.

MINIMUM EDUCATION & EXPERIENCE

• Bachelor's degree in Data Science, Biomedical Science, Computer Science, Mathematics, Statistics or similar discipline and 1 year of relevant experience required
• Or equivalent combination of education and experience
• General experience in technology-intensive environments required
• Programming experience in Structured Query Language (SQL) required
• Experience with laboratory or research data management systems preferred
• Experience with cloud technologies (e.g. Microsoft Office, Microsoft Azure DevOps) preferred

KNOWLEDGE, SKILLS AND ABILITIES

• 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
• Demonstrated ability to develop proficiency with unfamiliar toolsets preferred
• Familiarity with genomics, metagenomics, flow cytometry or imaging files, metadata, and data standards required

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