LIMS Integration Biologist

LIMS Integration Biologist supports the integration of laboratory workflows with our digital infrastructure. This role functions as part of the Scientific Services team and works closely with laboratory staff and software development teams to ensure that scientific practices are accurately and effectively reflected in the digital tools being built.

Key Responsibilities & Essential Functions

• Works alongside laboratory scientists to understand and document current experimental workflows.
• Identifies key steps, data inputs, and decision points in laboratory procedures, with attention to reproducibility and metadata
• Assists in the design of digital workflows that reflect actual laboratory practice.
• Reviews and tests digital implementations, provide feedback to development teams and ensuring scientific accuracy
• Supports the implementation of laboratory information management systems (LIMS), electronic notebooks, and related platforms.
• Ensures that data capture is robust, well-structured, and aligns with broader institutional goals for FAIR (Findability, Accessibility, Interoperable, Reusable) data practices.
• Serves as a reliable point of contact between scientific and technical staff throughout the development and roll-out of new systems.
• May perform other duties as assigned

Other Knowledge, Skills, and Abilities

• Solid background in both computational methods and bench science.
• Understanding the structure and logic of laboratory experiments, document them carefully, and assist in translating those procedures into coherent digital workflows.
• Ability to engage constructively with colleagues across disciplines, and to communicate clearly and precisely, is essential.
• Ability to engage constructively with colleagues across disciplines, and to communicate clearly Familiarity with a range of sequencing and other 'omics technologies, including bulk and single-cell RNA-seq, ATAC-seq, and spatial transcriptomics.and precisely, is essential.
• Demonstrated experience in wet-lab settings, ideally in molecular biology, genomics, or proteomics.
• Familiarity with a range of sequencing and other 'omics technologies, including bulk and single-cell RNA-seq, ATAC-seq, and spatial transcriptomics.
• Experience working with scientific software, databases, or workflow management tools.
• Prior involvement with LIMS or ELN systems is desirable but not required.
• Careful attention to detail, sound judgement, and an ability to work independently and collegially.
• Clear and accurate written and spoken communication.
• A master's degree with at least 3 years of relevant experience, or a bachelor's degree with a minimum of 5 years, in computational biology, bioinformatics, or a related field.

Education Required: Bachelor's Degree

Education Preferred: Master's Degree/Doctorate Degree

Degree & Specialization Requirements: B.S. in Computer Science or computational science-related field (i.e. bioinformatics, physics or mathematics)

Experience Required: 3 years

Experience Preferred: 5 years

Pay Range: $60,618 - $78,803

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About JAX:

The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California),Japan andChina. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.

Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visitwww.jax.org.

EEO Statement:

The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.