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Full Time Laboratory Informatics Jobs (NOW HIRING)

Design and build the data platform connecting NGS instruments, laboratory informatics systems ... Requirements : * 5+ years of full-time engineering experience (3+ for those with an MS or PhD) in ...

Biovia ELN Template Developer

Princeton, NJ

$50.50 - $66.75/hr

Company Description LabAnswer is the leading and largest laboratory informatics consultancy ... full-time employees including but not limited to: Unlimited ceiling for professional growth ...

Bioinformatics JAVA Developer

San Francisco, CA · On-site +1

$60 - $77.75/hr

Company Description LabAnswer is the leading and largest laboratory informatics consultancy ... Additional Information We offer comprehensive benefits to regular full-time employees including but ...

Company Description LabAnswer is the leading and largest laboratory informatics consultancy ... full-time employees including but not limited to : Unlimited ceiling for professional growth ...

Company Description LabAnswer is the leading and largest laboratory informatics consultancy ... Consulting experience Additional Information We offer comprehensive benefits to regular full-time ...

Company Description LabAnswer is the leading and largest laboratory informatics consultancy ... full-time employees including but not limited to: Unlimited ceiling for professional growth ...

Company Description LabAnswer is the leading and largest laboratory informatics consultancy ... Additional Information We offer comprehensive benefits to regular full-time employees including but ...

Overview Vice President, Clinical Informatics, Ambulatory and Diagnostic Services Full Time, 80 ... Laboratory, Radiology/Cardiology, Pharmacy, Ambulatory, Oncology, and Homecare. Responsibilities

Computer Systems Analyst

Rockville, MD · On-site

$98K - $163K/yr

This is a full-time role based in Rockville, MD. * Collaborate with internal stakeholders across ... Background supporting chemical inventory systems or laboratory informatics platforms. * Hands-on ...

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Full Time Laboratory Informatics information

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How much do full time laboratory informatics jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for full time laboratory informatics in the United States is $22.53, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $24.28 per hour, depending on experience, location, and employer.

What is the difference between Full Time Laboratory Informatics vs Laboratory Data Analyst?

AspectFull Time Laboratory InformaticsLaboratory Data Analyst
CredentialsBachelor's degree in informatics, computer science, or related field; certifications in laboratory systemsBachelor's degree in life sciences, data analysis, or related field; often no specialized certifications
Work EnvironmentLaboratories, healthcare facilities, research institutionsLaboratories, clinical settings, research labs
Job FocusImplementing, maintaining, and optimizing laboratory information systemsAnalyzing laboratory data, generating reports, supporting data-driven decisions

Full Time Laboratory Informatics professionals focus on managing laboratory information systems and ensuring data integrity, while Laboratory Data Analysts primarily analyze lab data and generate insights. Both roles are essential in laboratory settings but differ in technical scope and responsibilities.

More about Full Time Laboratory Informatics jobs
What are the most commonly searched types of Laboratory Informatics jobs? The most popular types of Laboratory Informatics jobs are:
Informatics Engineer

Informatics Engineer

Prime Medicine

Cambridge, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Job description

Company Overview:
Prime Medicine is a leading biotechnology company dedicated to creating and delivering the next generation of gene editing therapies to patients. The Company is leveraging its proprietary Prime Editing platform, a versatile, precise and efficient gene editing technology, to develop a new class of differentiated, one-time, potentially curative genetic therapies. Designed to make only the right edit at the right position within a gene while minimizing unwanted DNA modifications, Prime Editors have the potential to repair almost all types of genetic mutations and work in many different tissues, organs and cell types.
Prime Medicine is currently progressing a diversified portfolio of investigational therapeutic programs organized around our core areas of focus: hematology, immunology & oncology, liver and lung. Across each core area, Prime Medicine is focused initially on a set of high value programs, each targeting a disease with well-understood biology and a clearly defined clinical development and regulatory path, and each expected to provide the foundation for expansion into additional opportunities. For more information, please visit www.primemedicine.com.
About the role
We're hiring an Informatics Engineer to build the scientific data and computing platform that powers Prime Medicine's gene editing programs.
You will work in close partnership with our computational biology team and our cloud infrastructure team. The role suits someone who's comfortable owning a platform end-to-end, building the engineering foundations that scientists across the organization rely on, including data pipelines and APIs through to AI-enabled internal tooling. Your engineering judgment about what to build and how to build it will shape how Prime Medicine works with scientific data day-to-day.
What you'll do
  • Design and build the data platform connecting NGS instruments, laboratory informatics systems (Benchling), and AWS cloud compute; covering automated ingestion, provenance tracking, scalable storage, and observability.
  • Build production-grade APIs, SDKs, and internal tools that bring genomic data and analytical capabilities to scientists across the organization.
  • Build the orchestration layer for the automated, event-triggered execution of our scientific pipelines. The pipelines themselves (amplicon-seq, off-target analysis, and others) are co-developed with our computational biology team; you'll own how they run, scale, and integrate.
  • Ship AI-powered and agentic capabilities such as RAG over internal scientific data, agentic workflows with human-in-the-loop review, and internal copilots that streamline routine workflows across the organization connecting both science and business needs.
  • Build integrations across the scientific tool chain so data moves reliably between ELNs, LIMS, instrument software, and cloud compute.
  • Translate scientific requirements into reliable, maintainable software, helping bring research prototypes into production-grade systems.
  • Partner with computational biologists, lab scientists, and our cloud-support team to continuously improve platform performance, cost, and reliability.

What we're looking for
This is an Infrastructure engineering focused role, well suited to candidates whose primary background is software engineering, data engineering, or scientific platform engineering, with a strong interest in applying those skills to scientific problems.
Requirements:
  • 5+ years of full-time engineering experience (3+ for those with an MS or PhD) in production environments.
  • Strong Python programming skills.
  • Production AWS experience with depth in event-driven, cloud-native architectures, including AWS Lambda, EventBridge (or comparable event-routing infrastructure), and Infrastructure as Code with Terraform or CDK.
  • Docker / containerization, Git-based workflows, CI/CD, code review, and testing code in DEV/TEST environments before deploying to production.
  • A track record of building integrations and automations. Experience in a life-science related industry involving scientific or regulated data, such as biotech, pharma, healthtech, clinical informatics, scientific instrumentation, or agricultural genomics.

Nice to have
  • NGS expertise. Knowledge of NGS technology, workflows and pipeline architecture is strongly preferred.
  • Hands-on workflow orchestration experience. Familiarity with Nextflow/NextFlow Tower/Seqera Platform preferred.
  • Laboratory informatics experience with Benchling or comparable ELN/LIMS, as an operator, builder, or administrator.
  • AI / LLM tooling and agentic systems (LangChain, LangGraph, MCPs, RAG architectures).
  • Gene editing familiarity: CRISPR, base editing, prime editing.
  • GxP / 21 CFR Part 11 / regulated-software experience.
  • Plotly Dash, Streamlit, Spotfire, Retool, or similar tools for internal apps and data visualizations.
  • Experience managing or querying relational databases (PostgreSQL, MSSQL).

Interview process
The process includes a recruiter conversation, a hiring manager interview, and a small panel that includes computational biology, engineering, and wet lab partners. A Python coding exercise is part of the process
Logistics and policy
  • Hybrid with office in Cambridge, MA. We are not currently able to sponsor visas. US work authorization at the time of application is required.
  • Competitive base salary, equity, and standard benefits.

The pay range reflects the full-time base salary range we expect to pay for this role at the time of posting. Base pay will be determined based on several factors including, but not limited to, relevant experience, skills, and education. This role is eligible for an annual short-term incentive award (e.g., bonus) and an annual long-term incentive award (e.g., equity).
Prime Medicine offers a comprehensive Total Rewards package with robust health, financial, and wellness benefits-including medical, dental, vision, life insurance, a 401(k) match, and equity programs-along with generous paid time off, wellness days, and company-wide recharge breaks.
Our commitment to employee well-being reflects our belief that when we care for our people, we strengthen our ability to put patients first and make meaningful impact together.
U.S. Pay Range
$134,000-$163,000 USD
Prime Medicine is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, disability, veteran status, or any other classification protected by law.