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Lims Python Developer Jobs (NOW HIRING)

Access Labs LLC

Salesforce Developer/Engineer

Jupiter, FL · On-site

$54.25 - $71.75/hr

Design, develop, test, implement, and support laboratory software solutions, including LIS/LIMS ... Salesforce, Apex, Lightning Web Components, C#, .NET, Java, Python, SQL, JavaScript, or PowerShell.

Prime Medicine

Informatics Engineer

Cambridge, MA

Strong Python programming skills. * Production AWS experience with depth in event-driven, cloud ... Laboratory informatics experience with Benchling or comparable ELN/LIMS, as an operator, builder ...

CareDx, Inc.

Staff Software Engineer

Brisbane, CA · On-site

... LIMS-related initiatives. • Collaborate with QA, DevOps, and product teams to support testing ... C#, Python, JavaScript). • Strong SQL and data modeling skills, particularly for complex ...

Access Medical Labs

Salesforce Developer/Engineer

Jupiter, FL · On-site

$54.25 - $71.75/hr

Design, develop, test, implement, and support laboratory software solutions, including LIS/LIMS ... Salesforce, Apex, Lightning Web Components, C#, .NET, Java, Python, SQL, JavaScript, or PowerShell.

CareDx, Inc.

Staff Software Engineer

Brisbane, CA · On-site

... LIMS-related initiatives. * Collaborate with QA, DevOps, and product teams to support testing ... Proficiency in at least one modern programming language (e.g., Java, C#, Python, JavaScript)

CareDx, Inc.

Staff Software Engineer

Brisbane, CA

... LIMS-related initiatives. * Collaborate with QA, DevOps, and product teams to support testing ... Proficiency in at least one modern programming language (e.g., Java, C#, Python, JavaScript)

BioPhase Solutions

CA

$47 - $57/hr

Maintain and develop backend code and logics of an internal LIMS to accommodate addition of new ... Python backend framework such as Django and Flask. * Preferred Experience with: * Shopify site ...

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Lims Python Developer information

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How much do lims python developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for lims python developer in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Lims Python Developer vs Laboratory Information Systems (LIS) Analyst?

AspectLims Python DeveloperLIS Analyst
Required SkillsPython programming, LIMS integration, scriptingLaboratory workflows, LIS systems, data analysis
Work EnvironmentSoftware development, IT teams, laboratory tech supportLaboratory operations, quality assurance, data management
CertificationsPython certifications, LIMS trainingLaboratory accreditation, LIS system training

While both roles support laboratory data management, a Lims Python Developer primarily focuses on developing and maintaining LIMS software using Python, whereas a Laboratory Information Systems Analyst concentrates on managing and optimizing LIS workflows and data within laboratory environments. The roles often collaborate but differ in technical focus and responsibilities.

What are popular job titles related to Lims Python Developer jobs?

For Lims Python Developer jobs, the most frequently searched job titles are:

Infographic showing various Lims Python Developer job openings in the United States as of September 2026, with employment types broken down into 3% Internship, 89% Full Time, 4% Part Time, and 4% Contract. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Data Scientist II / Senior Data Scientist, Life Sciences

Cambridge, MA

Lila Sciences
See more jobs at Lila Sciencesexternal

Full-time

Posted 9 days ago

Job description

Your Impact at LILA

Lila Sciences is building the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by applying AI to every aspect of the scientific method, enabling scientists to solve challenges in human health, climate, and sustainability at a pace and scale not previously possible.

At Lila, teams are deeply cross-functional and collaborative. We seek people with inclusive mindsets, diverse perspectives, and comfort working in creative, fast-moving environments. If this sounds like an environment you'd love to work in, even if you only have some of the experience listed below, we encourage you to apply.

We are seeking a Data Scientist, Life Sciences to join Life Sciences AI Data Science (LSAI-DS) and own the bridge between wet-lab science, software engineering, automation, and AI. This person will turn experimental data into actionable scientific insight, translate bench workflows into validated analytical requirements, and build reproducible analysis patterns that scale across life sciences programs.

This role is ideal for someone who combines life sciences depth, strong Python-based analysis skills, applied statistics, and user-centered thinking. You will work closely with scientists, automation experts, software engineers, and ML engineers to make sure data flows, analyses, and tools reflect what is actually happening at the bench.

What You'll Be Building

  • Own requirements discovery across lab, automation, software, and AI teams.
  • Translate experimental and operational questions into well-scoped analyses.
  • Develop bioinformatics and data-processing pipelines for raw assay outputs.
  • Build reusable analysis modules that improve reproducibility across studies.
  • Integrate analytical workflows with centralized data lake and AI platform systems.
  • Identify gaps in LIMS flows, data management, and automation workflows.
  • Document methods, assumptions, and results for technical and scientific audiences.

What You'll Need to Succeed

  • Strong background in biological sciences, life sciences data, or bioinformatics.
  • Strong Python proficiency for scientific data analysis, including pandas, numpy, and scipy.
  • Solid grounding in applied statistics and exploratory data analysis.
  • Experience eliciting, documenting, and validating requirements from scientific and technical stakeholders.
  • Ability to identify unstated assumptions and clarify ambiguous analytical requests.
  • Experience producing reproducible, well-documented analyses.
  • Strong communication skills with both technical collaborators and bench scientists.
  • Proactive, detail-oriented approach to ambiguous scientific problems.

Bonus Points For

  • Experience working with lab automation platforms or instrument data systems.
  • Familiarity with common bioinformatics tools
  • Experience with workflow orchestrators such as Flyte or Temporal.
  • Knowledge of modern Python developer tools such as pydantic, pyright, or uv.
  • Familiarity with AWS fundamentals and containerized workflows, including Docker or Kubernetes.

Apply