Research Data Engineer I

Rochester; City of Rochester (NY); Presencial; USD 37.000 - 52.000; Jornada completa

Descripción de la vacante

The University of Rochester in Rochester, NY seeks a data-focused software professional to support analytical pipelines and data workflows within the Cancer Center Admin M&D department. You will help integrate structured and unstructured data from multiple sources, maintain data infrastructure, and contribute to scalable research software solutions.

With a bachelor’s in data science or related field and experience in SQL, Java, Python, or R, you’ll collaborate in a matrix team and ensure robust,

Formación

• Bachelor's degree in Data Science, Biomedical Science, Computer Science, Mathematics or similar.
• 1 year of relevant experience in technology-intensive environments and SQL programming.
• Programming experience in Java and Python and/or R; familiarity with biospecimen software and ELN systems.
• Experience with Linux environments, Docker, and cloud technologies (AWS/Azure/GCP).
• Knowledge of data analytics, statistics, and software engineering best practices.
• Strong communication, organization and teamwork skills.
• Familiarity with genomics/metagenomics and data standards is preferred.

Responsabilidades

• Maintains and modifies ETL data pipelines and data architecture to handle growing data from research sources.
• Translates business and technical requirements into software solutions and manages multiple tasks and timelines.
• Supports data workflow solutions for data collection, management, reporting and analytics in research projects.
• Adheres to development lifecycles including requirements, tests, version control and QA.
• Implements testing procedures to ensure system and data workflow reliability.
• Produces technical documentation for systems under responsibilities and keeps current with developments.

Conocimientos

Data science

SQL

Java

Python

R

Linux

Docker

Cloud tech

Data analytics

Communication

Educación

Bachelor's degree in Data Science or related

Herramientas

Docker

AWS

Azure

GCP

Descripción del empleo

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):

220 Hutchison Rd, Rochester, New York, United States of America, 14620

Opening:

Worker Subtype: Regular

Time Type: Time as Reported / Per Diem

Scheduled Weekly Hours: As Scheduled

Department: 400295 Cancer Center Admin M& D

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

Range: UR URG 109 H

Compensation Range: $27.16 - $38.03

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:

With moderate supervision and guidance, 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 used 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 APIs. Receives guidance from and acts in support of a team aimed at providing robust, scalable software solutions to the research enterprise.

JOB DUTIES AND RESPONSIBILITIES:

• 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.
• Works with team members to support the conversion of business and technical requirements into professional 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 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 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:

• Bachelor's degree in Data Science, Biomedical Science, Computer Science, Mathematics, Statistics or similar discipline required.
• 1 year of relevant experience required including experience in technology-intensive environments and programming experience in SQL or equivalent combination of education and experience.
• Programming experience, ideally in Java and Python and/or R; Experience with laboratory data management systems (e.g. biospecimen software, electronic laboratory notebooks, LabKey Server, REDCap);
• Experience with Linux environments, Docker, and cloud technologies (e.g. AWS, Microsoft Azure, Google Cloud Platform).
• Familiarity with 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.
• Familiarity with genomics, metagenomics, flow cytometry or imaging files, metadata, and data standards preferred.

Schedule

8 AM-5 PM

The University of Rochester is committed to fostering, cultivating, and preserving a culture of equity, diversity, and inclusion 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 status protected by law. This commitment extends to the administration of our policies, admissions, employment, access, and recruitment of candidates from underrepresented populations, veterans, and persons with disabilities consistent with these values and government contractor Aff…

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.