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Remote Data Collection Driver Jobs in San Ramon, CA

High Volume (TOFU) Recruiter

San Francisco, CA ยท On-site +1

$55K - $100K/yr

... data collection and annotation -- delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design ...

Integration Engineer

Oakland, CA ยท On-site +1

$119K - $160K/yr

... of data collection. You will use a custom Python-based macro system and write HTML, text, and OCR parsers to interface with it. OCR and web-scraping experience required . This role can be remote.

Sr. Data Scientist

San Francisco, CA ยท Remote

$162K - $238K/yr

Powered by AI, big data, and predictive analytics, our platform helps revenue teams identify buying ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

Senior Data Analyst (Remote)

San Francisco, CA ยท On-site +1

$101K - $127K/yr

This role is critical in managing the agency title remittances process, collection of current and past due remittances, and collaborating with corporate to ensure accurate and timely data entry ...

Delivery Lead

San Francisco, CA ยท Remote

$110K - $140K/yr

San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation -- delivering the datasets that frontier AI research requires and remote ...

... data collection, and helping translate research plans into published outputs and high-impact ... This role is full-time and open to NYC-based or remote candidates. Our office is located in ...

Showing results 21-40

Remote Data Collection Driver information

See San Ramon, CA salary details

$17

$28

$35

How much do remote data collection driver jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote data collection driver in San Ramon, CA is $28.28, according to ZipRecruiter salary data. Most workers in this role earn between $26.06 and $28.99 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Collection Driver vs Field Data Collector?

AspectRemote Data Collection DriverField Data Collector
CredentialsDriver's license, possibly a background checkSimilar credentials, often including a valid driver's license
Work EnvironmentPrimarily remote, traveling between locations, often using a vehicleOn-site at data collection points, often in various field locations
Employer & IndustryResearch firms, survey companies, market researchResearch organizations, government agencies, market research

The Remote Data Collection Driver and Field Data Collector roles share similarities in credentials and industry usage. The main difference lies in the work environment: Remote Data Collection Drivers primarily travel between locations using a vehicle, often working remotely, while Field Data Collectors typically work on-site at specific locations. Both roles are essential for gathering data in research and market analysis, but their daily tasks and settings differ significantly.

What are some common challenges faced by remote data collection drivers, and how can they be addressed?

Remote Data Collection Drivers often encounter challenges such as navigating unfamiliar routes, dealing with varied weather conditions, and ensuring data accuracy while on the move. To overcome these, drivers should familiarize themselves with route planning tools, maintain regular communication with their support team, and follow best practices for data verification. Staying organized and proactive helps ensure data is collected efficiently and safely, and most companies provide training and support to help drivers handle these challenges.

What is a remote data collection driver?

Remote Data Collection Drivers are professionals who operate vehicles equipped with specialized sensors or devices to gather data for various purposes, such as mapping, traffic analysis, or infrastructure assessment. Unlike traditional drivers, their primary responsibility is to follow predetermined routes while ensuring accurate data collection, often working independently and reporting findings digitally. This role may include using GPS equipment, cameras, or other technology to record information, and it often allows for flexible or remote scheduling. Remote Data Collection Drivers are typically employed by companies involved in geographic information systems (GIS), urban planning, or autonomous vehicle development.

What are the key skills and qualifications needed to thrive as a remote data collection driver?

To thrive as a Remote Data Collection Driver, you need a valid driver's license, a clean driving record, and strong navigation skills, often supported by familiarity with GPS and mapping technologies. Proficiency with mobile data collection devices, onboard cameras, and reporting software is typically required. Attention to detail, reliability, and strong time management help ensure accurate data collection and adherence to schedules. These skills are crucial for safely and efficiently gathering high-quality geographic or survey data to support organizational needs.
What are popular job titles related to Remote Data Collection Driver jobs in San Ramon, CA? For Remote Data Collection Driver jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Collection Driver jobs in San Ramon, CA look for? The top searched job categories for Remote Data Collection Driver jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Remote Data Collection Driver jobs? Cities near San Ramon, CA with the most Remote Data Collection Driver job openings:
Infographic showing various Remote Data Collection Driver job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $58,826 per year, or $28.3 per hour.

Manager, Business Intelligence & Data Analytics

Orca Bio

Menlo Park, CA โ€ข Remote

$120K - $160K/yr

Full-time

Posted 8 days ago


Job description

More than one million people in the United States today are fighting blood cancer. While a traditional allogeneic stem cell transplant has been the best hope for many, the transplant itself can prove fatal or lead to serious conditions, such as graft vs. host disease. Orca Bio is a commercial-stage biotechnology company redefining the transplant process by developing next-generation cell therapies with the goal of providing significantly better survival rates with dramatically fewer risks. With our purified, high-precision cell therapies we hope to not only replace patients' blood and immune systems with healthy ones, but also restore their lives.

Summary: Reporting into the Associate Director, Commercial Operations & Strategy, the Manager, Data Analytics & Business Intelligence will lead the build-out of Orca Bio's enterprise data infrastructure — the foundation for how the organization measures and manages its performance. This individual's first priority will be establishing the KPIs, data collection processes, analytics, and reporting that enable Orca Bio to track performance across the metrics that matter most, spanning commercial, supply, clinical, and other functions across the organization.

As major co-pillars of the role, this individual will also serve as a centralized hub for Orca Bio's market research and competitive intelligence needs — translating both internal performance data and external market signals into clear, actionable insights for leadership. Partnering across Commercial, Clinical, Market Access, and Business Development, the candidate will combine strong technical and analytical expertise with the business acumen to connect data to decisions.

This is a high-visibility position critical to the successful commercial launch of TREGZI and to Orca Bio's broader operational maturity, providing the analytical backbone for performance management, physician targeting, payer strategy, and competitive positioning.

Location: candidates local to Orca Bio's Menlo Park office are preferred. If based remotely, travel will be required as needed to corporate offices in California.

Responsibilities

Data Infrastructure, KPIs & Reporting

  • Support the design, build-out, and ongoing management of Orca Bio's enterprise data and reporting infrastructure, establishing a single, trusted source of truth for organizational performance.
  • Help define the organization's key performance indicators (KPIs) and performance measurement frameworks in partnership with functional leaders, spanning commercial, supply, clinical, and other functions.
  • Lead the end-to-end process for data collection, validation, analytics, and reporting, ensuring accurate, timely, and compliant information across the organization.
  • Develop and maintain dashboards and reporting tools spanning field activity, onboarding progress, incentive compensation performance, product ordering trends, and cross-functional KPIs.
  • Identify key business trends and performance drivers and translate complex data into actionable insights for leadership.

Market Research

  • Lead end-to-end execution of HCP, patient, and payer primary market research, including both qualitative and quantitative methodologies.
  • Design study protocols, develop discussion guides and questionnaires, select and manage research vendors, oversee fielding, and synthesize findings.
  • Develop research briefs and present findings to leadership and cross-functional partners with clear strategic recommendations.
  • Build and maintain a centralized research repository to preserve institutional knowledge and enable insights reuse across functions.

Competitive Intelligence

  • Build and maintain a systematic CI monitoring framework covering allogeneic cell therapy, CAR-Ts, and emerging competitors in hematologic malignancies.
  • Track conference activity (ASH, ASCO, EHA, EBMT, TCT), clinical trial registries, FDA/EMA label and REMS changes, pricing and coverage signals, and competitor activity.
  • Develop monthly CI briefings and ad-hoc competitive alerts; aggregate field-sourced intelligence and triangulate against secondary data.
  • Identify and surface competitive risks and opportunities that may impact commercial strategy.

Cross-Functional Partnership

  • Serve as the organization's data, analytics, and insights subject-matter expert and primary point of contact across Commercial, Supply, Clinical, Medical Affairs, Market Access, and Business Development.
  • Support forecasting, scenario modeling, business planning cycles, and launch-readiness tracking with rigorous analytics and research-based input.
  • Coordinate external vendors and research/data partners to ensure quality, consistency, and cost efficiency; drive standardization and vendor consolidation.
  • Build trusted relationships with functional leaders and serve as a strategic thought partner on measurement, research design, and prioritization.
  • Recommend and implement improvements to analytics workflows, reporting processes, and data visualization tools.
Minimum Qualifications
  • Bachelor's degree in business, statistics, data science, engineering, life sciences, or a related discipline.
  • 3 to 5 years of progressive experience in commercial analytics, data/business intelligence, market research, or competitive intelligence in biopharma, finance, or consulting.
  • Demonstrated experience building data infrastructure and reporting — including defining KPIs and performance frameworks, and managing data pipelines and field analytics.
  • High proficiency with Excel, SQL, and data visualization/BI tools (e.g., Power BI, Tableau); familiarity with CRM configuration (Salesforce/Veeva), master data management, and ETL processes.
  • Demonstrated experience designing and managing primary market research studies (qualitative and quantitative), and conducting CI monitoring, synthesis, and executive-level briefings.
  • Proficiency with secondary data sources (IQVIA, Symphony, specialty pharmacy, medical/pharmacy claims) and strong analytical skills to translate complex data into actionable insights.
  • Excellent written and verbal communication skills with experience presenting to executive audiences, plus vendor management experience with research agencies and data providers.
Preferred Characteristics
  • Advanced degree (MBA, MPH, MS, PhD) in a relevant discipline.
  • Experience in cell and gene therapy, hematology/oncology, transplant, or rare disease commercial environments, including familiarity with the transplant center (ATC) ecosystem and BMT/cellular therapy dynamics.
  • Passion for building clean, scalable reporting infrastructure, with the ability to prioritize in a dynamic, launch-focused environment.
  • Strong project management skills, intellectual curiosity, comfort with ambiguity, and a patient-focused mindset connecting work to ultimate patient impact.
The anticipated annual salary range for this job is based on prior experience in the role/industry, education, location, internal equity, and other job-related factors as permitted by law. For remote-based positions, this range may vary based on your local market. Full-time employment positions will also be eligible to receive pre-IPO equity and annual bonus, in addition to competitive medical, dental, and vision benefits, PTO, 401(k) plan, life and accidental death and disability coverage, and parental leave benefits. Other perks include subsidized daily lunches and snacks at our on-site locations.
 
Who we are
 
We are driven by a passion for science and compassion for patients. We act with urgency to ensure our treatments are one day accessible to all who need them.
 
We live by our core values of passion, courage, and integrity. Excellence in our work means the chance to unlock a better quality of life for our patients, and with that comes tremendous responsibility.
 
We innovate on a path that hasn’t been paved. We embrace an entrepreneurial spirit and take calculated risks to achieve our mission. We aren’t afraid to ask “why not” and challenge the status quo.
 
We maintain a start-up culture of camaraderie and leadership by example, regardless of title.
 
We’re proud to be an equal opportunity employer, and recognize that celebrating our differences creates stronger, lasting solutions that better serve our team, our patients and their healthcare providers.
 
Notice to staffing firms
 
Orca Bio does not accept resumes from staffing agencies with which we do not have a written agreement and specific engagement for a particular opening. Our employment activities, inquiries and offers are managed through our HR/Talent team, and all candidates are presented through this channel only. We do not accept unsolicited resumes, and we rarely outsource recruitment.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.