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Remote Lab Data Analyst Jobs in California (NOW HIRING)

Remote Pay Range: $60 - $65/hr on W2 Job Summary: We are seeking a Data Analysis Lead to join our team in a remote role, supporting our sales planning and execution from the United States, preferably ...

Senior Data (Revenue Ops) Analyst

El Segundo, CA · On-site +1

$91K - $115K/yr

Remote Job Type: Full-Time Remote Employment: Flexible/Hybrid Job Number: 00878.1 Department ... NEOGOV is seeking a highly skilled Senior Revenue Operations (Data) Analyst to join our Revenue ...

Senior Data Modeling Analyst - Remote

Costa Mesa, CA · On-site +1

$92K - $116K/yr

Help develop analytic and data products and services, and the enhancement of current processes and ... Flexible work environment, ability to work remote, hybrid or in-office * Flexible time off ...

Senior Data Modeling Analyst - Remote

Costa Mesa, CA · On-site +1

$92K - $116K/yr

Help develop analytic and data products and services, and the enhancement of current processes and ... Flexible work environment, ability to work remote, hybrid or in-office * Flexible time off ...

Remote (Pacific Time Zone & UT) or Hybrid (El Segundo, CA / Draper, UT) This role is fully remote ... NEOGOV is seeking a highly skilled Senior Revenue Operations (Data) Analyst to join our Revenue ...

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Remote Lab Data Analyst information

How to make $80,000 a year working from home?

A Remote Lab Data Analyst can earn $80,000 annually by gaining relevant skills in data analysis, programming, and laboratory information systems, often requiring a bachelor's degree in a related field. Increasing experience, obtaining certifications like CAP or SAS, and working for companies that offer remote positions with competitive salaries can help achieve this income level.

How does a Remote Lab Data Analyst typically collaborate with on-site laboratory staff and other remote team members?

A Remote Lab Data Analyst frequently communicates with on-site lab personnel and other remote colleagues through video meetings, collaborative platforms, and shared data systems. This close collaboration ensures data accuracy, timely reporting, and proper interpretation of lab results. Analysts often attend virtual team meetings to discuss findings, address challenges, and align on project goals. Effective communication and strong organizational skills are essential to bridge the gap between remote and in-person teams, making regular updates and clear documentation a key part of the role.

Is AI replacing data analysts?

AI is transforming the role of remote lab data analysts by automating routine data processing and analysis tasks, allowing analysts to focus on interpretation and decision-making. While AI tools can enhance efficiency, human expertise remains essential for complex analysis, data validation, and strategic insights. Data analysts who develop skills in machine learning and data visualization tools are better positioned to adapt to these technological changes.

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

To thrive as a Remote Lab Data Analyst, you need a strong background in statistics, data analysis, and laboratory science, often supported by a degree in a related field. Familiarity with data analysis tools like Excel, Python, R, and Laboratory Information Management Systems (LIMS) is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret and share findings with remote teams. These skills ensure accurate data interpretation, reliable reporting, and seamless collaboration across distributed laboratory environments.

What does a lab data analyst do?

A lab data analyst collects, processes, and interprets data generated from laboratory experiments and tests. They use statistical tools and software to ensure data accuracy, support research conclusions, and maintain data integrity in a laboratory setting. Strong analytical skills and knowledge of data management are essential for this role.

Is it possible to get a remote job as a data analyst?

Remote data analyst positions are widely available across various industries, often requiring skills in data visualization, SQL, and statistical analysis. Many companies offer remote work options, and candidates typically need a strong internet connection, relevant experience, and proficiency with tools like Excel, Tableau, or Python. Certifications such as the Microsoft Certified Data Analyst Associate can also enhance prospects for remote roles.

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

AspectRemote Lab Data AnalystRemote Laboratory Technician
CredentialsBachelor's in Data Science, Biology, or related field; certifications in data analysisAssociate's or Bachelor's in Laboratory Science or related field; technical certifications
Work EnvironmentPrimarily remote, analyzing digital data setsRemote or on-site, performing sample processing and testing
Industry UsageHealthcare, biotech, research institutionsClinical labs, research facilities, hospitals
Job FocusData analysis, reporting, data managementSample handling, testing, equipment operation

The Remote Lab Data Analyst and Remote Laboratory Technician roles share some overlap in scientific knowledge and industry context. However, the analyst focuses on interpreting data remotely, requiring strong analytical skills and data certifications, while the technician handles laboratory procedures and sample processing, often requiring technical lab certifications. Both roles are vital in research and healthcare sectors but differ in daily tasks and skill sets.

What is a Remote Lab Data Analyst?

A Remote Lab Data Analyst is a professional who collects, processes, and interprets laboratory data from a remote location. They use specialized software and analytical tools to ensure data accuracy and integrity, often working with scientific, medical, or industrial laboratories. Their role may include data validation, report generation, and collaboration with laboratory staff to improve data quality and support research or quality control objectives. Remote Lab Data Analysts typically require strong analytical skills, attention to detail, and proficiency with data management systems.
What are popular job titles related to Remote Lab Data Analyst jobs in California? For Remote Lab Data Analyst jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Remote Lab Data Analyst jobs? Cities in California with the most Remote Lab Data Analyst job openings:
Infographic showing various Remote Lab Data Analyst job openings in California as of June 2026, with employment types broken down into 82% Full Time, 3% Temporary, and 15% Contract. Highlights an 100% Remote job distribution.

Senior Data Scientist, Innovation Lab - Remote

Experian

San Diego, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

Experian Innovation Lab is a research and development unit at Experian formed with the desire to work in collaboration with Experian's departments to enhance relationships with clients and acquire strategic datasets. Experian is a global leader in providing information, analytical tools and marketing services to organizations and consumers to help manage the risk and reward of commercial and financial decisions. Using our comprehensive understanding of individuals, markets and economies, we help organizations develop customer relationships to make their businesses more profitable.

As a Senior Data Scientist at the Experian Innovation Lab, your role will be to research and develop analytical solutions, prototype new products, and evaluate data assets. You must bring an experience in predictive modeling, machine learning, and deep learning to this position. You will report into the Sr. Principal Data Scientist

You'll have opportunity to:

  • Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
  • Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
  • Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
  • Innovate with tools designed for data processing and information retrieval.
  • Dissect and document vast datasets, analyzing them to highlight patterns and insights.
  • Solve complex challenges by developing impactful algorithms.
  • Ensure model excellence by validating performance scores and analyzing Return on investment and benefits.
Qualifications
  • Master's Degree or higher in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
  • 2+ years of experience in AI, data science, or predictive modeling
  • Proficiency in multiple programming languages, including Python
  • Experience in deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or reinforcement learning.
  • Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas.
  • Experience with large data analysis using pySpark
  • Experience with LLMs and the relevant tools in the Generative AI domain.
  • Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra.
  • Experience modifying and applying advanced algorithms to address practical problems
  • Experience with online, mobile marketing analytics
  • Experience with GPU programming
Additional Information

Benefits/Perks:

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
  • Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others.

Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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