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Rwd Jobs in California (NOW HIRING)

Apex Informatics

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Experience evaluating fit-for-purpose data and deriving RWD insights to inform business decisions * Experienced applying RWD to specific healthcare and life sciences-related research questions and ...

Kinetic Systems

Healthcare Partnerships

San Francisco, CA · On-site

$120 - $160/hr

Develop Kinetic's data acquisition and partnership strategy across hospitals, medical groups, specialty networks, registries, payers, and adjacent RWD vendors. * Identify and prioritize high-value ...

Sonsoft Inc

iOS Architect

San Francisco, CA

Familiarity with Hybrid application development using Phonegap (Cordova) and responsive web design (RWD) using HTML5, CSS 3, Bootstrap, Angular etc. At least 5 years of experience in project ...

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All JobsRwd JobsRwd Jobs in California

Rwd information

See California salary details

$53.8K

$111K

$156.9K

How much do rwd jobs pay per year?

As of Sep 5, 2026, the average yearly pay for rwd in California is $110,963.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $122,400.00 per year, depending on experience, location, and employer.

What is an RWD?

RWD professionals are experts who specialize in collecting, analyzing, and interpreting Real World Data (RWD), which refers to health-related information gathered from sources outside of traditional clinical trials, such as electronic health records, insurance claims, and patient registries. Their work supports healthcare decision-making, regulatory submissions, and outcomes research by providing insights into how treatments perform in everyday practice. RWD professionals often collaborate with researchers, clinicians, and regulatory bodies to ensure data quality, compliance, and meaningful interpretation. They play a key role in advancing evidence-based medicine and improving patient care.

What are the key skills and qualifications needed to thrive as an RWD analyst?

To thrive as an RWD Analyst, you need a strong background in data analysis, epidemiology, or life sciences, often supported by a relevant degree. Proficiency with data analytics tools like SQL, Python, R, and experience with healthcare databases and data visualization software are typically required. Critical thinking, strong communication, and attention to detail are essential soft skills for interpreting complex datasets and collaborating across teams. These skills ensure accurate, actionable insights from real-world data, which are vital for decision-making in healthcare and life sciences industries.

How does a Responsive Web Designer typically collaborate with other team members during a project?

Responsive Web Designers often work closely with front-end developers, UX/UI designers, and project managers to ensure that websites function smoothly across all devices. Collaboration usually involves regular meetings to align on design specifications, feedback sessions to iterate on prototypes, and shared project management tools to track progress. Clear communication is essential, especially when balancing creative vision with technical feasibility and user experience goals. This teamwork helps create cohesive, user-friendly web solutions that meet client and business needs.

What is the difference between Rwd vs Web Developer?

AspectRwd (Responsive Web Designer)Web Developer
Primary FocusDesigning responsive layouts for websitesDeveloping website functionality and coding
Skills & CertificationsHTML, CSS, design tools, UX/UI principlesHTML, CSS, JavaScript, backend languages
Work EnvironmentDesign teams, creative agencies, client projectsDevelopment teams, tech companies, agencies
Common TasksCreating responsive mockups, layout adjustmentsWriting code, debugging, integrating APIs

While Rwd focuses on designing responsive website layouts, Web Developers handle the coding and technical implementation. Both roles often collaborate but serve different aspects of website creation, with Rwd emphasizing visual design and user experience, and Web Developers ensuring functionality and performance.

What are popular job titles related to Rwd jobs in California?

For Rwd jobs in California, the most frequently searched job titles are:

What job categories do people searching Rwd jobs in California look for?

The top searched job categories for Rwd jobs in California are:

What cities in California are hiring for Rwd jobs?

Cities in California with the most Rwd job openings:

Rwd jobs near you
Infographic showing various Rwd job openings in California as of August 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 67% Physical, 13% Hybrid, and 20% Remote job distribution, with an average salary of $110,963 per year, or $53.3 per hour.

Healthcare Data Scientist (RWD)

Medeloop

San Francisco, CA

Full-time

Re-posted 4 days ago

Key responsibilities

  • Build and execute real-world evidence analyses to answer healthcare and biopharma questions using large-scale claims and EHR data.

  • Write scalable code in SQL and Python to define cohorts, model patient journeys, and produce research outputs.

  • Communicate analyses, assumptions, and limitations clearly to internal teams, stakeholders, and customers.

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).