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Remote Lims Analyst Jobs (NOW HIRING)

... analytics capabilities, including the semantic and data modeling work that supports it. * Proven ... Familiarity with life sciences data domains such as clinical (EDC, CTMS), laboratory (LIMS ...

Senior Account Executive of Labs

CA · Remote

$100K - $130K/hr

Benefits 100% of our positions are remote and we leverage virtual platforms and organize regular ... Ideation and Experimentation - Maintains the pipeline, metrics and insight analytics, lead ...

Our platform unifies ELN, LIMS, and scientific data management within a highly configurable ... Working Location This is a remote-first role. We are open to candidates based in the US (East Coast ...

Ability to analyze and trend data to support quality system improvements Working Environment and ... Remote or Remote Hybrid or Onsite Occasional travel may also be expected, as needed. ADA: The ...

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Remote Lims Analyst information

What are the key skills and qualifications needed to thrive as a remote LIMS analyst?

To thrive as a Remote LIMS Analyst, you need expertise in laboratory information management systems (LIMS), data analysis, and a background in life sciences or information technology. Familiarity with popular LIMS platforms, database management, scripting languages, and relevant certifications such as CLIA or GAMP is often required. Strong problem-solving, attention to detail, and effective communication skills help analysts collaborate with laboratory staff and troubleshoot issues remotely. These skills ensure accurate data management, regulatory compliance, and seamless laboratory operations in distributed environments.

What is the difference between Remote Lims Analyst vs Remote Laboratory Technician?

AspectRemote Lims AnalystRemote Laboratory Technician
Required CredentialsBachelor's in Life Sciences, LIMS software knowledgeAssociate's/Bachelor's, lab procedures familiarity
Work EnvironmentRemote, computer-basedRemote or on-site, lab setting
Industry UsagePharmaceutical, biotech, clinical labsResearch labs, clinical testing

The Remote Lims Analyst primarily manages and analyzes data within Laboratory Information Management Systems, often working remotely. In contrast, the Remote Laboratory Technician performs hands-on lab tasks and sample processing, which may be remote or on-site. Both roles require scientific credentials, but the analyst focuses on data and software, while the technician emphasizes laboratory procedures.

How does a remote LIMS analyst collaborate with onsite laboratory staff to resolve system issues and ensure smooth operations?

As a Remote LIMS Analyst, you will frequently collaborate with onsite lab personnel through virtual meetings, emails, and ticketing systems to troubleshoot and resolve technical issues related to the Laboratory Information Management System (LIMS). Clear communication and strong documentation skills are essential, as you may need to guide staff through complex processes or system updates remotely. Building strong relationships with both IT and laboratory teams is important for understanding workflow needs and implementing system enhancements. This collaborative approach helps ensure that the LIMS remains efficient and aligned with laboratory operations, even when working from a distance.

What is a remote LIMS analyst?

A Remote LIMS Analyst is a professional who manages and supports Laboratory Information Management Systems (LIMS) from a remote location. They are responsible for configuring, maintaining, and troubleshooting LIMS software to ensure smooth laboratory operations. Their work often involves collaborating with laboratory staff, IT teams, and vendors to optimize system performance, ensure data integrity, and comply with regulatory standards. Remote LIMS Analysts may also assist in training users and developing custom solutions to meet specific laboratory needs.
More about Remote Lims Analyst jobs
What cities are hiring for Remote Lims Analyst jobs? Cities with the most Remote Lims Analyst job openings:
What are the most commonly searched types of Lims Analyst jobs? The most popular types of Lims Analyst jobs are:
What states have the most Remote Lims Analyst jobs? States with the most job openings for Remote Lims Analyst jobs include:
Infographic showing various Remote Lims Analyst job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Databricks Enterprise Architect@ 100% Remote Role

Palnar

Remote

$70.75 - $91/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Required Qualifications
  • 10+ years in data architecture, data engineering, or enterprise data platform roles, with 3+ years hands-on Databricks at enterprise scale.
  • Deep, demonstrable expertise across the Databricks platform: Unity Catalog, Delta Lake, Spark, medallion architecture, and pipeline orchestration.
  • Direct experience enabling Databricks Genie (AI/BI) or comparable self-service and conversational analytics capabilities, including the semantic and data modeling work that supports it.
  • Proven track record setting enterprise-level data strategy and target-state architecture, not only implementing to someone else's design.
  • Strong command of at least one major cloud (AWS or Azure) and its integration with Databricks. Experience designing data governance frameworks: access control, lineage, cataloging, and data quality at scale.
  • Ability to communicate architecture and strategy clearly to both executive and technical audiences.

Preferred Qualifications
  • Life sciences or other regulated-industry experience (pharma, biotech, medical device, healthcare). Working knowledge of GxP-validated environments, 21 CFR Part 11, HIPAA, and data integrity (ALCOA+) requirements.
  • Familiarity with life sciences data domains such as clinical (EDC, CTMS), laboratory (LIMS), manufacturing, real-world data, or genomics.
  • Databricks certifications (for example, Databricks Certified Data Engineer Professional or Databricks Platform Architect).
  • Experience with complementary tooling in the modern data stack (dbt, Fivetran, or similar) and with MLOps using MLflow