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Laboratory Data Manager Jobs in Rochester, NY (NOW HIRING)

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Laboratory Data Manager information

See Rochester, NY salary details

$30.6K

$95.8K

$169.7K

How much do laboratory data manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for laboratory data manager in Rochester, NY is $95,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $123,800.00 per year, depending on experience, location, and employer.

What does a laboratory data manager do?

A Laboratory Data Manager is responsible for overseeing the collection, storage, and management of data generated in a laboratory setting. They ensure data integrity, accuracy, and compliance with relevant regulations such as GLP or GCP. Their tasks often include database maintenance, data validation, and facilitating data sharing among researchers or departments. Additionally, they may develop and implement data management procedures and support laboratory teams with data-related queries.

What skills and qualifications are needed to be a laboratory data manager?

To thrive as a Laboratory Data Manager, you need a background in life sciences or data management, with strong analytical skills and attention to detail. Familiarity with laboratory information management systems (LIMS), data analysis software, and relevant data privacy regulations is typically required. Excellent organizational skills, problem-solving abilities, and effective communication are essential soft skills for coordinating with laboratory staff and ensuring data accuracy. These skills and qualities are crucial for maintaining data integrity, supporting research objectives, and complying with regulatory standards.

How does a laboratory data manager collaborate with laboratory staff and IT teams?

A Laboratory Data Manager works closely with both laboratory scientists and IT professionals to ensure the accurate collection, storage, and analysis of laboratory data. They act as a bridge between the technical laboratory team and IT, translating laboratory needs into system requirements and troubleshooting data-related issues. Regular communication and collaboration are essential for maintaining data integrity, optimizing workflows, and implementing new data management solutions. This role often involves attending team meetings, providing training on data systems, and coordinating data quality checks.

What is the difference between Laboratory Data Manager vs Laboratory Technician?

AspectLaboratory Data ManagerLaboratory Technician
CredentialsBachelor's degree in life sciences or related field; certifications in data management (e.g., CDMP)Associate's or bachelor's degree in laboratory sciences or related field
Work EnvironmentOffice-based, overseeing data systems in labs or clinical settingsHands-on laboratory work, operating equipment and conducting tests
Primary ResponsibilitiesManaging and ensuring accuracy of laboratory data, data entry, and compliancePerforming laboratory tests, preparing samples, and recording results

The Laboratory Data Manager focuses on managing and maintaining laboratory data accuracy and integrity, often working in an office setting. In contrast, the Laboratory Technician performs hands-on lab work, conducting tests and preparing samples. Both roles are essential in laboratory operations but differ in responsibilities and work environment.

What job categories do people searching Laboratory Data Manager jobs in Rochester, NY look for?

The top searched job categories for Laboratory Data Manager jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Laboratory Data Manager jobs?

Cities near Rochester, NY with the most Laboratory Data Manager job openings:

Infographic showing various Laboratory Data Manager job openings in Rochester, NY as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $95,850 per year, or $46.1 per hour.

Research Data Engineer I

University of Rochester

Rochester, NY • On-site

$27.16 - $38.03/hr

Per diem

Re-posted 8 days ago


Key responsibilities

  • Supports the implementation and maintenance of data pipelines and data architecture to facilitate research workflows.

  • Supports the development of data collection frameworks and infrastructure systems such as data warehouses and data lakes.

  • Supports the implementation of custom data workflow solutions for data collection, management, reporting, and analytics.


University Of Rochester rating

8.3

Company rating: 8.3 out of 10

Based on 189 frontline employees who took The Breakroom Quiz

127th of 631 rated colleges and universities


Job description

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 Affirmative Action obligations.

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.


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