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Remote Data Cleaning Jobs in California (NOW HIRING)

Valdera

Chemical Data Scientist

San Francisco, CA · On-site +1

Delivering that depends on clean, current data - CAS numbers, specifications, certifications, and ... moving, remote environment with ambiguous, evolving priorities Salary Range: Salary ranges are ...

Valdera

Chemical Data Scientist

San Francisco, CA · On-site +1

Delivering that depends on clean, current data - CAS numbers, specifications, certifications, and ... moving, remote environment with ambiguous, evolving priorities Salary Range: Salary ranges are ...

Stryker

Manager, Clinical Data Research (Remote)

Irvine, CA · On-site +1

$116K - $193K/yr

Remote or Hybrid or Onsite The Manager, Clinical Data Research will oversee the end-to-end ... Drive data review, validation, and cleaning activities to ensure delivery of high-quality, analysis ...

Gainwell Technologies

Data Analyst

Roseville, CA · Remote

$59K - $85K/yr

Perform basic data cleaning, transformation, and validation to ensure data accuracy. * Support team ... Fully Remote Opportunity - Work from anywhere in the U.S. * Minimal Travel Required - Occasional ...

Thunkable

Sr. Data Analyst

San Francisco, CA · Remote

$90K - $130K/yr

... cleaning, data processing, analyzing, modeling, insights delivery and execution strategy ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

Thunkable

Sr. Data Analyst

San Francisco, CA · On-site +1

$90K - $130K/yr

Experience with handling real-time and historical data from the ground up, including data cleaning ... Global remote flexibility We may use artificial intelligence (AI) tools to support parts of the ...

SAIC

Digital Engineer

El Segundo, CA · On-site +1

$120K - $160K/yr

None Potential for Remote Work: ORA_HYBRID Description SAIC is seeking a Digital Engineer onsite in ... Perform data transformation, data modeling, and data cleaning using Palantir Foundry tools to ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Processing, cleaning, and combining different data sources to create new datasets * Collaborate ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

Extract and clean data from various sources to ensure accuracy and consistency. * Identify trends ... Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ...

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Remote Data Cleaning information

What is the difference between Remote Data Cleaning vs Remote Data Entry?

AspectRemote Data CleaningRemote Data Entry
Primary FocusIdentifying and correcting errors in datasets, improving data qualityInputting and updating data into systems accurately
Skills RequiredData analysis, attention to detail, familiarity with data toolsTyping speed, accuracy, basic computer skills
Work EnvironmentData analysis platforms, spreadsheets, specialized cleaning toolsData management software, spreadsheets, databases
CertificationsData analysis, Excel, database managementBasic computer skills, typing certifications

Remote Data Cleaning involves reviewing and correcting datasets to ensure accuracy, often requiring analytical skills. Remote Data Entry focuses on accurately inputting data into systems. While both roles require attention to detail, data cleaning emphasizes quality control, whereas data entry emphasizes speed and accuracy in data input.

What are the key skills and qualifications needed to thrive as a remote data cleaning specialist, and why are they important?

To thrive as a Remote Data Cleaning Specialist, you need strong analytical skills, attention to detail, and experience with data management, often supported by a degree in a quantitative field. Proficiency with tools such as Microsoft Excel, SQL, Python (pandas), and data visualization platforms is commonly required. Excellent problem-solving abilities, time management, and clear communication help you collaborate effectively and maintain data integrity. These skills ensure that datasets are accurate, reliable, and ready for analysis, which is crucial for informed business decision-making.

What is remote data cleaning?

Remote data cleaning is the process of identifying, correcting, or removing inaccurate, incomplete, or irrelevant data from datasets, all performed from a remote location rather than on-site. Professionals use specialized software and scripts to clean and organize data, ensuring its quality and consistency before analysis or use in business processes. This role is essential for organizations that rely on accurate data for decision-making and often involves tasks such as deduplication, error correction, and formatting standardization.

What are some common challenges faced when working remotely as a data cleaning specialist, and how can they be addressed?

Remote data cleaning specialists often encounter challenges such as inconsistent data formats, limited access to original data sources, and communication gaps with team members. To address these, it's important to establish clear data standards, use collaborative tools for real-time updates, and schedule regular check-ins with stakeholders. Staying organized and documenting data cleaning processes also helps maintain quality and ensures team alignment, even when working from different locations.
What are the most commonly searched types of Data Cleaning jobs in California? The most popular types of Data Cleaning jobs in California are:
What are popular job titles related to Remote Data Cleaning jobs in California? For Remote Data Cleaning jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Cleaning jobs in California look for? The top searched job categories for Remote Data Cleaning jobs in California are:
What cities in California are hiring for Remote Data Cleaning jobs? Cities in California with the most Remote Data Cleaning job openings:
Remote Data Cleaning jobs near you
Infographic showing various Remote Data Cleaning job openings in California as of August 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 100% Remote job distribution.

Senior Manager, Clinical Data Management

JenaValve

Irvine, CA • On-site, Remote

$175K/yr

Full-time

Re-posted 14 days ago

Job description

Job Title: Senior Manager, Clinical Data Management
Role Level: People Manager
Supervisor/Manager Title: Director, Biostatistics & Data Management
Job Location & Environment: Remote - Home Office
Job Description Summary: JenaValve Technology is building something meaningful - and this role is at the center of it. As the company brings clinical data management fully in-house for the first time, the Senior Manager, Clinical Data Management will own that function from the ground up: building team capability, establishing process infrastructure, and ensuring data integrity across JenaValve's active interventional and registry trials. Reporting to the Director, Biostatistics & Data Management, this individual directly manages a team of five and works as a true partner to Clinical Operations, Field Monitoring, and Biostatistics to keep trial data clean, query-resolved, and submission-ready.
Job Responsibilities:
  • Lead and develop a team of five direct reports (two Specialists, Clinical Data Management and one Coordinator, Clinical Data Management, plus two existing team members); provide day-to-day direction, performance feedback, workload planning, and professional development to build a high-performing, scalable data management function.
  • Own the end-to-end data management program for all active clinical trials, including data cleaning operations, query lifecycle management, data review workflows, and data lock readiness; establish and enforce data quality standards across all studies in alignment with applicable regulations and internal SOPs.
  • Serve as the technical lead and JenaValve subject matter expert for EDC systems; partner with CRO vendors on EDC configuration, updates, and migrations; ensure Specialists are trained and equipped to serve as functional EDC experts and primary CRO coordination contacts for system-related activities.
  • Establish and maintain data management planning documents, data management plans (DMPs), and study-specific data conventions; oversee authorship and lifecycle management of data management SOPs and work instructions in coordination with Clinical Compliance.
  • Build and maintain a strong dotted-line partnership with Clinical Operations, CRAs, and Field Monitoring teams to ensure prompt protocol deviation identification, site data performance monitoring, and enrollment data accuracy; serve as the data management voice in cross-functional study team meetings.
  • Oversee vendor quality and performance for CRO data management activities during the transition to in-house operations; ensure continuity of data quality through the insourcing period and establish benchmarks for ongoing CRO performance where external support is retained.
  • Partner with Biostatistics on data standards (CDISC/CDASH), database lock procedures, and submission dataset readiness; ensure alignment between data management outputs and statistical analysis requirements.
  • Monitor regulatory developments relevant to clinical data management, including FDA guidance on electronic data capture, 21 CFR Part 11, and ICH E6(R3) data integrity expectations; evaluate impact on operations and procedures and recommend updates as appropriate.
  • Support PMA/IDE submission activities as they relate to data quality, data management documentation, and traceability of clinical data; complete assigned training for internal SOPs and maintain current knowledge of applicable regulations and guidance.
  • Develop, manage, and communicate data management timelines for study-level deliverables (e.g., interim analyses, data cleaning milestones, database locks, submission readiness); proactively identify risks to timelines and drive mitigation strategies across internal teams and external partners.
  • Lead data management readiness for internal and external audits and regulatory inspections; ensure documentation, system validation evidence, and data traceability meet inspection-readiness standards; serve as the data management point of contact during sponsor audits and CRO audits.

Required Education and Experience:
  • 7+ years of clinical data management experience in the pharmaceutical, biotechnology, or medical device industry; medical device or cardiovascular/structural heart experience strongly preferred.
  • Minimum 3 years in a lead or senior data management role with demonstrated ownership of study-level data cleaning, query management, and database lock activities.
  • Prior people management experience; ability to lead, develop, and retain direct reports in a growing, fast-paced environment.
  • Bachelor's degree or higher in life sciences, health sciences, informatics, or a related field required; advanced degree preferred.
  • Thorough knowledge of ICH E6(R3), 21 CFR Parts 11 and 812, and CDISC/CDASH data standards; demonstrated experience authoring or overseeing data management plans and SOPs.
  • Experience managing or transitioning data management functions in-house from a CRO is a significant advantage.

Skills and Abilities Required for This Job:
  • Deep proficiency in EDC platforms (Medidata Rave, Oracle InForm, REDCap, or equivalent); experience overseeing EDC build review, UAT coordination, and system migration in partnership with CRO or vendor teams.
  • Strong analytical and problem-solving skills; ability to identify data quality trends, escalate risks, and implement corrective strategies across multiple concurrent studies.
  • Demonstrated ability to build collaborative partnerships with Clinical Operations, CRAs, Field Monitoring, and Biostatistics; proven cross-functional credibility in a clinical trial environment.
  • Excellent written and oral communication skills; able to produce clear data management documentation, status summaries, and executive-level updates; proficient in Microsoft Office Suite and eTMF/document management systems.

Physical Requirements:
  • Travel up to 15%, primarily for clinical team meetings, site visits, vendor engagements, and periodic home office visits.

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