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Remote Data Cleaning Jobs (NOW HIRING)

Most of our positions are remote, providing flexibility while contributing to meaningful federal ... Understanding of data governance, data cleaning, and ETL processes. * Communication amp;

$88K - $106K/yr

This is a fully remote opportunity for a data engineering professional specializing in web scraping ... Use Python and Pandas to clean, explore, transform, manipulate, and prepare large datasets for ...

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

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

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

Prepare data for further analysis, including data cleaning, transformation, anonymization, and ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

This is a Full Time, remote, Data Science Analyst role. What You'll Do Data Analysis & Manipulation ... Write clean, well-structured, and documented code in Python, PySpark, and SQL * Use Git for version ...

Communicate and coordinate with remote hands in remote data centers, providing technical direction ... Performing regular maintenance tasks, such as cleaning, inspecting, and replacing components, to ...

Data Cleaning & Quality Assurance * Clean, organize, and validate datasets across program tracking ... Ability to work independently in a remote environment and stay on top of assigned tasks. Preferred ...

Data Cleaning & Quality Assurance * Clean, organize, and validate datasets across program tracking ... Ability to work independently in a remote environment and stay on top of assigned tasks. Preferred ...

Prepare data for further analysis, including data cleaning, transformation, anonymization, and ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Over the past two years, our team of 3 has become a fully remote team of 30+ Butter Slices, spread ... Experience with end to end data analysis, including data cleaning and preparation, querying ...

Showing results 21-40

Remote Data Cleaning information

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 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 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 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.

More about Remote Data Cleaning jobs

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Cities with the most Remote Data Cleaning job openings:

What are the most commonly searched types of Data Cleaning jobs?

The most popular types of Data Cleaning jobs are:

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States with the most job openings for Remote Data Cleaning jobs include:

What job categories do people searching Remote Data Cleaning jobs look for?

The top searched job categories for Remote Data Cleaning jobs are:

Infographic showing various Remote Data Cleaning job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution.

Senior Manager, Clinical Data Management

JENAVALVE TECHNOLOGY INC

Irvine, CA • Remote

Full-time

Re-posted 21 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.