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Weekend Lab Data Analyst Jobs in Santa Rosa, CA (NOW HIRING)

Cyber Security Engineer

Bodega Bay, CA ยท On-site

$156K - $191K/yr

Lawrence Berkeley National Laboratory has multiple openings for a Cybersecurity Engineer in Berkeley, CA. Duties: * Perform security duties including threat awareness, proactive network traffic

Proto is accelerating the world's transition to an open economy with products that increase access and independence for everyone. We're building Bitkey, a simple and safe self-custody bitcoin wallet

Lab - Phlebotomist

Sonoma, CA ยท On-site

$22.90 - $28.30/hr

Overview Join a dedicated healthcare team as a Lab - Phlebotomist, where your skills will directly impact patient care and diagnostic accuracy. This role offers the opportunity to work in a busy

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Weekend Lab Data Analyst information

See Santa Rosa, CA salary details

$11

$30

$52

How much do weekend lab data analyst jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for weekend lab data analyst in Santa Rosa, CA is $30.05, according to ZipRecruiter salary data. Most workers in this role earn between $21.54 and $35.72 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Weekend Lab Data Analyst, and why are they important?

To excel as a Weekend Lab Data Analyst, you need strong analytical skills, attention to detail, and a background in statistics or laboratory science, often supported by a relevant degree. Familiarity with data analysis software such as Excel, SQL, or specialized laboratory information management systems (LIMS) is typically required. Excellent problem-solving ability, time management, and clear communication help you interpret results accurately and collaborate with lab teams. These skills ensure precise data handling and reporting, which are crucial for maintaining lab quality standards and supporting research or diagnostic processes during off-peak hours.

What are some typical challenges faced by Weekend Lab Data Analysts, and how can they be addressed?

Weekend Lab Data Analysts often work with limited in-person support since core staff may not be present, making it crucial to be proactive in troubleshooting and resourceful in finding solutions. Handling large volumes of data under tight weekend deadlines can also be challenging, so strong time management and organizational skills are essential. Collaborating remotely with weekday teams through clear documentation and regular status updates helps ensure data integrity and continuity across shifts.

What is the difference between Weekend Lab Data Analyst vs Weekend Medical Laboratory Technician?

AspectWeekend Lab Data AnalystWeekend Medical Laboratory Technician
CredentialsBachelor's in Data Science, Biology, or related field; certification may be preferredAssociate's or Bachelor's in Medical Laboratory Technology; certification often required
Work EnvironmentLaboratories, hospitals, research facilities, often with data analysis toolsMedical labs, hospitals, clinics performing diagnostic tests
Industry UsageHealthcare, research, diagnosticsHealthcare, clinical diagnostics
Job FocusAnalyzing lab data, generating reports, supporting researchPerforming lab tests, preparing samples, ensuring quality control

The Weekend Lab Data Analyst and Weekend Medical Laboratory Technician roles share some overlap in healthcare settings but differ mainly in focus. The analyst emphasizes data interpretation and reporting, while the technician concentrates on sample processing and testing. Both roles may work weekends and require relevant certifications, but their daily tasks and skill sets are distinct.

What is a Weekend Lab Data Analyst?

A Weekend Lab Data Analyst is a professional who specializes in collecting, processing, and analyzing scientific or technical data generated in a laboratory setting, specifically during weekend shifts. Their responsibilities often include managing data quality, creating reports, and supporting lab staff with data interpretation to ensure accurate results. This role is critical for laboratories that operate seven days a week, as it helps maintain continuity and timely data processing. Weekend Lab Data Analysts often work with specialized software and must have strong analytical and communication skills.
What cities near Santa Rosa, CA are hiring for Weekend Lab Data Analyst jobs? Cities near Santa Rosa, CA with the most Weekend Lab Data Analyst job openings:
Postdoctoral Researcher - Ellerby lab

Postdoctoral Researcher - Ellerby lab

Buck Institute for Research on Aging

Novato, CA โ€ข On-site

$73K - $81K/yr

Full-time

Medical, Retirement, PTO

Re-posted 27 days ago


Job description

LAB OVERVIEW
Dr. Lisa Ellerby's laboratory at the Buck Institute for Research on Aging investigates the molecular
mechanisms underlying age-related neurodegenerative diseases and develops novel small molecule and protein therapeutics for brain aging. We employ a rich toolkit including iPSC-derived neurons and organoids, CRISPR/Cas9, single-cell analysis, proteomics, genomics, and phenotypic screening to understand why neurological diseases increase so dramatically with age - and to identify new ways to prevent and treat them.
POSITION SUMMARY
We are seeking a motivated Postdoctoral Researcher to lead a high-throughput screening (HTS) program focused on brain aging and neurodegeneration. This is an exciting opportunity to drive discovery at the intersection of chemical biology, iPSC-based disease modeling, and advanced high-content imaging - with a specific focus on OXR1 and APOE2 biology. The successful candidate will develop and execute screens to identify small molecules that reverse aging phenotypes or build cellular resilience in neuronal models.
KEY RESPONSIBILITIES
  • Develop and lead a high-throughput screening (HTS) effort to identify small molecules that reverse aging to a youthful state or build resilience, with a focus on OXR1 and APOE2 biology.
  • Design and execute high-content imaging workflows and Cell Painting-based phenotypic profiling.
  • Develop and apply iPSC-derived neuronal and organoid models for disease-relevant screening.
  • Operate and integrate complex robotic automation platforms and multi-instrument workflows.
  • Analyze complex imaging outputs using Python and R; apply pathway analysis and data visualization tools.
  • Collaborate with biologists across the Buck Institute to standardize protocols and experimental design.
  • Contribute to peer-reviewed publications as a leading author and apply for fellowship/grant funding.
  • Participate in institutional seminars, programs, and the broader Buck Institute scientific community.
QUALIFICATIONS
Required
  • PhD in Neuroscience, Biology, Chemistry, Chemical Biology, or a related field
  • Hands-on experience with HTS assay development and laboratory automation platforms
  • Experience with high-content imaging and analysis pipelines (e.g., CellProfiler, Columbus, or
    similar)
  • Proficiency in Python and/or R for image and data analysis
  • Demonstrated ability to drive independent research and a strong publication record
Highly Desirable
  • Experience with iPSC-derived neuronal models or cerebral organoids
  • Familiarity with Cell Painting/image-based morphological profiling
  • Experience with senescence biology, neurodegeneration, or aging-related pathways.
WHY THE BUCK INSTITUTE?
The Buck Institute is the world's leading independent research institute dedicated to understanding and combatting the diseases of aging. Postdoctoral researchers benefit from a highly collaborative interdisciplinary environment, state-of-the-art core facilities, strong career development programming, and proximity to the vibrant Bay Area biotech ecosystem.
The Buck Institute is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We strongly encourage applicants who will contribute to the diversity of our community.
COMPENSATION & BENEFITS
  • Salary Range: $73,760-81,440 annually, commensurate with experience and qualifications
  • Comprehensive benefits package including health insurance, paid parental leave, childcare assistance, generous paid time off, and a 401(k) with 5% employer match
HOW TO APPLY
Please submit a CV, a brief statement of research interests (1-2 pages), and contact information for three references.
For Additional Information:
Professor Lisa M. Ellerby, Ph.D.
[email protected]