Research Data Engineer II

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:

400990 Clin & Trans Science Institute

Work Shift:

UR - Day (United States of America)

Range:

UR URG 113

Compensation Range:

$77,216.00 - $115,824.00

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:

GENERAL PURPOSE:
The General Purpose provides a concise, high-level overview of the role, level, and scope of responsibility consisting of 3-4 sentences. It provides a basic understanding of the job and a concise summary of why the job exists and how it makes an impact.
With general supervision and guidance, participates in the design, implementation, and maintenance of analytical and data science-based software and data pipelines to support scientific workflows. Primarily focuses developing and supporting research imaging file and data collection (DICOM) frameworks that integrate structured and unstructured data from multiple sources and systems, including integration of clinical, and imaging results (raw data and derived) to support specific research study teams. Supports the development and maintenance of infrastructure systems (e.g., data warehouses, data lakes) including data access APIs. Works in partnership with team members and the Del Monte Institute for Neuroscience to provide robust, scalable software and programming application solutions to the research enterprise. Requires regular, on-site work part of the time.

ESSENTIAL FUNCTIONS

• Builds, maintains, and evolves general data pipelines and overall data architecture to accommodate a growing amount of data from a variety of large research data sources.
• Works with research team members to convert business and technical requirements into professional software solutions. Ensures timely completion of tasks while managing multiple assignments, project timelines, and business user expectations.
• Designs and implements custom, research project-specific data workflow solutions for data collection, management, reporting and analytics, including for image processing workflows    Contributes to the scientific research.
• Participates in specification, implementation and execution of testing procedures to ensure quality of deliverables, system and data workflow reliability.
• Adheres to 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.
• 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.
• Responsibility
• Other duties as assigned

MINIMUM EDUCATION & EXPERIENCE

• Bachelor’s degree in Data Science, Biomedical Science, Computer Science, Mathematics, Statistics, or similar discipline REQUIRED
• At least two years of experience in technology and data intensive roles and environments, or equivalent combination of education and experience REQUIRED
• Programming experience in SQL and at least one other applicable language (Java, Python, C, and/or R). REQUIRED
• Programming experience with numeric computing software (eg. MATLAB, Julia) PREFERRED
• 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 or clinical context (e.g. PACS, XNAT, electronic laboratory notebooks, LabKey Server, REDCap) PREFERRED

• Experience with Linux, container, and cloud technologies (e.g. HPC, Docker, Kubernetes, IaaS and PaaS) PREFERRED
• Familiarity with file formats, metadata, and data exchange and storage standards applicable in management of scientific and clinical research, imaging files formats (DICOM), metadata, and data standards PREFERRED

KNOWLEDGE, SKILLS AND ABILITIES

• Understanding of data analytics and statistical methods REQUIRE
• 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 REQUIRE
• Demonstrated ability to develop proficiency with unfamiliar toolsets REQUIRED

The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.