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Real World Evidence Remote Jobs in California (NOW HIRING)

Tempus

Data Scientist II, Outcomes Research

Redwood City, CA · On-site +1

$100K - $150K/yr

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Penumbra

Market Access Analytics Manager

Alameda, CA · On-site +1

The Market Access Analytics Manager selects the appropriate data sources to develop reports and dashboards of Real-World Evidence for market access. This role also owns projects end to end including ...

Karius

Senior Clinical Data Scientist

Redwood City, CA · On-site +1

Redwood City, CA or Remote Primary Responsibilities * Own EHR data extraction specifications for ... Contribute to the design of data collection strategies for future real-world evidence studies and ...

Karius

Senior Clinical Data Scientist

Redwood City, CA · On-site +1

Redwood City, CA or Remote Primary Responsibilities * Own EHR data extraction specifications for ... Contribute to the design of data collection strategies for future real-world evidence studies and ...

Karius

Senior Clinical Data Scientist

Redwood City, CA · On-site +1

Redwood City, CA or Remote Primary Responsibilities * Own EHR data extraction specifications for ... Contribute to the design of data collection strategies for future real-world evidence studies and ...

COMPASS Pathways

HEOR Science Liaison

San Francisco, CA · On-site +1

Location: Remote in the United States. Reports to: Director, HEOR. Roles and responsibilities ... Deliver fair-balanced, scientifically rigorous presentations on clinical data, real-world evidence ...

Vaxcyte

Medical Science Liaison - West

San Carlos, CA · On-site +1

$184K - $215K/yr

... real-world evidence generation. Depending on experience, the role may be leveled at Senior MSL ... Remote - United States Compensation: The compensation package will be competitive and includes ...

Verana Health

Senior Software Engineer

San Francisco, CA · On-site +1

$144K - $190K/yr

... is powering real-world evidence generation. Clinicians utilize these insights to improve the ... While we are remote friendly, we have a preference for candidates within close commuting proximity ...

Verana Health

Senior Software Engineer

San Francisco, CA · On-site +1

$144K - $190K/yr

... is powering real-world evidence generation. Clinicians utilize these insights to improve the ... While we are remote friendly, we have a preference for candidates within close commuting proximity ...

Jj

Senior Director, Immunology Data & AI Systems

San Diego, CA · On-site +1

$52.75 - $72.75/hr

... development, and real-world evidence. * Partner with Knowledge Management, Data Platforms ... remote option available). Occasional travel for crossfunctional workshops, design sessions, and ...

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All JobsReal World Evidence JobsReal World Evidence Remote JobsReal World Evidence Remote Jobs in California

Real World Evidence Remote information

What is a real world evidence (RWE) professional?

A Real World Evidence (RWE) professional is someone who collects, analyzes, and interprets data from real-life clinical settings to inform healthcare decisions. Unlike traditional clinical trials, RWE uses data from sources such as electronic health records, insurance claims, patient registries, and wearable devices. These professionals help pharmaceutical companies, regulatory agencies, and healthcare providers understand how treatments work in diverse, everyday populations. Their work supports drug development, regulatory submissions, and improved patient outcomes, often working remotely with data science and epidemiology teams.

What are the key skills and qualifications needed to thrive as a real world evidence (RWE) professional working remotely?

To thrive as a Real World Evidence professional, you need a strong background in epidemiology, data analysis, and life sciences, often supported by an advanced degree such as a Master's or PhD. Familiarity with statistical software (like SAS, R, or Python), data visualization tools, and experience working with large healthcare databases are typically required. Excellent communication, self-motivation, and organizational skills help remote RWE professionals collaborate effectively and manage projects independently. These skills ensure rigorous, high-impact research that informs healthcare decisions and supports regulatory submissions in a remote, data-driven environment.

What are the common challenges faced by professionals in remote real world evidence (RWE) roles and how can they be addressed?

One common challenge in remote RWE positions is effective collaboration with cross-functional teams, as these roles often require close coordination with clinical, data science, and regulatory colleagues across different time zones. Clear communication and proactive scheduling of virtual meetings are essential to stay aligned on project objectives. Additionally, remote RWE professionals must be adept at managing large, complex datasets securely from home, which requires a strong understanding of data privacy protocols and remote access tools. Regular training and leveraging secure, cloud-based platforms can help address these challenges and ensure productivity.
What are the most commonly searched types of Real World Evidence jobs in California? The most popular types of Real World Evidence jobs in California are:
What are popular job titles related to Real World Evidence Remote jobs in California? For Real World Evidence Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Real World Evidence Remote jobs in California look for? The top searched job categories for Real World Evidence Remote jobs in California are:
What cities in California are hiring for Real World Evidence Remote jobs? Cities in California with the most Real World Evidence Remote job openings:
Real World Evidence Remote jobs near you
Infographic showing various Real World Evidence Remote job openings in California as of August 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% Remote job distribution.

Healthcare Data Scientist (RWD)

Medeloop

San Francisco, CA • On-site, Remote

Full-time

Posted 5 days ago

Job description

We are seeking a Healthcare Data Scientist (Real-World Evidence) to answer complex healthcare and biopharma questions using large-scale real-world data and help shape the next generation of AI-powered clinical research. This is a hands-on role that combines rigorous real-world evidence analysis with deep collaboration across product, AI, and customer teams.
Internally, you will partner closely with Medeloop's AI research and product teams to design and execute real-world evidence analyses, evaluate the performance of our clinical research agents, and apply your scientific expertise to improve how our platform reasons about healthcare data. Externally, you will serve as an embedded data scientist for our partner institutions, working directly with clinicians, researchers, and life sciences organizations to scope research questions, deliver high-quality evidence, drive adoption of the platform, and expand each customer's use of Medeloop over time. This is a highly technical role centered on analytical reasoning, statistical rigor, and scientific problem-solving. Your work will directly influence both the intelligence of our AI systems and the real-world impact they create for healthcare and life sciences organizations.
Role & Responsibilities
  • Build and execute real-world evidence analyses to answer complex healthcare and biopharma questions using large-scale claims and EHR data.
  • Write high-quality, scalable code (SQL and Python; R also welcome) to define cohorts, model patient journeys, and generate rigorous, reproducible research outputs.
  • Apply clinical and statistical judgment to evaluate treatment patterns, utilization, and outcomes in observational data, reasoning carefully about bias and limitations.
  • Work directly with Medeloop's AI research agents, reviewing and challenging their analytical outputs, and partner with AI and product teams to improve how agents translate research questions into high-quality analyses.
  • Partner with customer institutions: scope their research questions, deliver evidence, drive adoption, and help expand how each institution uses Medeloop.
  • Communicate analyses, assumptions, and limitations clearly to internal teams, scientific stakeholders, and customers, translating technical findings into plain-language insight.
  • Help shape the analytical foundations and evaluation frameworks behind the next generation of AI-driven clinical research tools.
Requirements
  • PhD, or a Master's degree minimum plus 5+ years of industry experience, in a quantitative-health field (biostatistics, epidemiology, clinical trials, public health, health informatics, or health economics). PhD preferred; strong industry experience can substitute for the doctorate.
  • Strong grounding in real-world data/evidence (RWD/RWE) methodology, with domain experience in biostatistics, epidemiology, clinical trials, or public health.
  • Proven ability to answer complex clinical or biopharma questions using SQL and Python, plus statistical software (R and/or SAS).
  • Experience with large healthcare datasets, such as claims or EHR data (clinical coding systems, ICD/CPT/RxNorm), assumed to come with an RWE background.
  • Track record of producing rigorous, research-grade analyses, reports, or publications; comfort working with messy, high-dimensional data.
  • AI/ML experience required, with clear evidence of hands-on use; comfortable reviewing code and reasoning about model outputs.
  • Strong communicator; customer-facing experience preferred (trainable for the right analytical candidate).
Nice to Have
  • Experience working directly with customers and in a sales capacity.
  • Industry background strongly preferred over consulting (industry candidates preferred over consultants).

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