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Remote Geospatial Data Scientist Jobs in Riverside, CA

Cotality

Principal Software Engineer (Python)

Irvine, CA · On-site +1

$144K - $194K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Partner with the Data Science team to architect intelligent routing logic that leverages Small ...

Collectorsuniverse

Head of Fraud Operations

Santa Ana, CA · On-site +1

$139K - $200K/yr

For remote roles, and at our discretion, candidates may be asked to participate in an on-site ... Data Science on models; and builds the team, tooling, SLAs, and metrics that hold fraud losses down ...

Noor Staffing Group

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $145K/yr

Hybrid if local to Irvine, CA. 100% remote if you live more than 30 miles from the office. Our ... data management * Bachelor's degree in Computer Science, Engineering, or a related field, or ...

IQVIA

Clinical Trial Psych Rater

Colton, CA · Remote

Remote/Virtual Hours: Estimated 10-16 hours per month Role: Clinical Specialist About IQVIA IQVIA ... scientific expertise with cutting-edge technology to deliver high-quality data and insights that ...

IQVIA

Clinical Trial Psych Rater

Moreno Valley, CA · Remote

Remote/Virtual Hours: Estimated 10-16 hours per month Role: Clinical Specialist About IQVIA IQVIA ... scientific expertise with cutting-edge technology to deliver high-quality data and insights that ...

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All JobsGeospatial Data Scientist JobsRemote Geospatial Data Scientist JobsRemote Geospatial Data Scientist Jobs in Riverside, CA

Remote Geospatial Data Scientist information

See Riverside, CA salary details

$39.1K

$128K

$205K

How much do remote geospatial data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote geospatial data scientist in Riverside, CA is $128,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $141,900.00 per year, depending on experience, location, and employer.

What is a remote geospatial data scientist?

A Remote Geospatial Data Scientist is a professional who analyzes and interprets spatial data, such as maps, satellite imagery, and GPS data, to solve problems or provide insights, all while working from a location outside of a traditional office. They use statistical, mathematical, and programming skills to process large geospatial datasets and often collaborate with teams virtually. Their work can support a variety of industries, including environmental monitoring, urban planning, and logistics, by providing actionable geographic insights. Remote geospatial data scientists commonly use tools like GIS software, Python, and machine learning frameworks. Communication and collaboration tools are also essential for effective remote work.

What are the key skills and qualifications needed to thrive as a remote geospatial data scientist?

To thrive as a Remote Geospatial Data Scientist, you need a strong background in spatial analysis, statistics, and programming, typically supported by a degree in geography, computer science, or a related field. Experience with GIS software (such as ArcGIS or QGIS), remote sensing tools, and programming languages like Python or R is essential, along with familiarity with cloud-based data platforms. Strong problem-solving, self-motivation, and effective communication skills are vital for collaborating remotely and turning complex geospatial data into actionable insights. These skills enable professionals to efficiently interpret and analyze spatial data, deliver valuable solutions, and work effectively within distributed teams.

How do remote geospatial data scientists typically collaborate with multidisciplinary teams across different time zones?

Remote Geospatial Data Scientists often work with professionals in fields like environmental science, urban planning, and software engineering, many of whom may be distributed globally. Effective collaboration relies on clear communication, regular virtual meetings, and the use of shared platforms for data, code, and project management. Flexible scheduling and asynchronous communication tools are key to coordinating across time zones, ensuring that all team members can contribute to project milestones efficiently. Building strong documentation and leveraging collaborative GIS and data platforms further help streamline workflows and maintain project momentum in a remote environment.

What is the difference between Remote Geospatial Data Scientist vs Remote GIS Analyst?

AspectRemote Geospatial Data ScientistRemote GIS Analyst
Required CredentialsBachelor's/Master's in GIS, Geography, Data Science; experience with spatial analysisBachelor's in GIS, Geography, or related field; proficiency in GIS software
Work EnvironmentData analysis, modeling, programming, and spatial data interpretationMapping, data management, spatial data visualization
Employer & Industry UsageTech companies, environmental agencies, urban planningGovernment agencies, utilities, environmental firms
Common Search & ComparisonFocuses on data science and modelingFocuses on mapping and spatial data management

The Remote Geospatial Data Scientist primarily works on advanced spatial data analysis, modeling, and programming to extract insights from geospatial data. In contrast, the Remote GIS Analyst focuses on mapping, data management, and spatial visualization. Both roles require GIS knowledge but differ in their core responsibilities and skill sets.

What are the most commonly searched types of Geospatial Data Scientist jobs in Riverside, CA?

The most popular types of Geospatial Data Scientist jobs in Riverside, CA are:

What are popular job titles related to Remote Geospatial Data Scientist jobs in Riverside, CA?

For Remote Geospatial Data Scientist jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Remote Geospatial Data Scientist jobs in Riverside, CA look for?

The top searched job categories for Remote Geospatial Data Scientist jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Remote Geospatial Data Scientist jobs?

Cities near Riverside, CA with the most Remote Geospatial Data Scientist job openings:

Remote Geospatial Data Scientist jobs near you
Infographic showing various Remote Geospatial Data Scientist job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $128,049 per year, or $61.6 per hour.

Senior Manager, Clinical Data Management

JenaValve

Irvine, CA • On-site, Remote

$175K/yr

Full-time

Re-posted 23 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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