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Remote Real World Evidence Rwe Jobs in California

Ossium Health

Director, Scientific Affairs

San Francisco, CA · On-site +1

$200K - $275K/yr

... remote work day * Qualified candidates must be legally authorized to be employed in the United ... Lead evidence-generation initiatives (clinical, secondary analyses, real-world evidence) to enhance ...

Tempus

Lead Quality Engineer

Redwood City, CA · On-site +1

$120K - $165K/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 ...

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All JobsReal World Evidence Rwe JobsRemote Real World Evidence Rwe JobsRemote Real World Evidence Rwe Jobs in California

Remote Real World Evidence Rwe information

What are Remote Real World Evidence (RWE) jobs?

Remote Real World Evidence (RWE) jobs involve gathering, analyzing, and interpreting data from real-world sources—such as electronic health records, insurance claims, patient registries, and wearable devices—to inform healthcare decisions. Professionals in these roles typically work for pharmaceutical companies, research organizations, or healthcare technology firms. Remote RWE jobs allow employees to contribute to research and data analysis from home or other off-site locations, using digital tools to collaborate with teams and stakeholders. These positions are crucial for understanding how medical treatments perform outside of controlled clinical trials, ultimately improving patient care and supporting regulatory submissions.

What is the difference between Remote Real World Evidence Rwe vs Remote Data Analyst?

AspectRemote Real World Evidence RweRemote Data Analyst
Required CredentialsAdvanced degrees in healthcare, epidemiology, or biostatistics; experience with RWE methodologiesBachelor's or master's in data science, statistics, or related fields; proficiency in data analysis tools
Work EnvironmentCollaborates with healthcare providers, pharma companies, and regulatory agencies; focuses on healthcare dataWorks across industries; analyzes large datasets to inform business decisions
Industry UsagePrimarily in healthcare, pharmaceuticals, and regulatory sectorsAcross various sectors including finance, marketing, and healthcare

Remote Real World Evidence Rwe specialists focus on analyzing healthcare data to generate evidence for medical and regulatory decisions, requiring healthcare-specific knowledge. Remote Data Analysts handle diverse datasets across industries, emphasizing data processing and reporting skills. While both roles involve data analysis, RWE roles are more specialized in healthcare and regulatory contexts.

What is a RWE scientist?

A RWE (Real World Evidence) scientist is a professional who analyzes real-world data from sources like electronic health records, claims databases, and patient registries to generate evidence on the effectiveness, safety, and value of healthcare interventions. They typically have expertise in biostatistics, epidemiology, and data analysis tools such as SAS or R, and work within healthcare, pharmaceutical, or research organizations to support decision-making and regulatory submissions.

What is RWE real world evidence?

Real World Evidence (RWE) in the context of a Remote Real World Evidence (RWE) role refers to the clinical evidence derived from analyzing data collected outside traditional clinical trials, such as electronic health records, claims data, and patient registries. Professionals in this field interpret this data to support healthcare decision-making, regulatory submissions, and product development, often using data analysis tools and statistical methods.

What is the most entry level job in clinical research?

The most entry-level job in clinical research is often a Clinical Research Assistant or Coordinator, responsible for supporting study activities, data collection, and documentation. These roles typically require basic knowledge of clinical trial processes, strong organizational skills, and may involve training on specific research tools or protocols.

What are the key skills and qualifications needed to thrive as a Remote Real World Evidence (RWE) professional, and why are they important?

To thrive as a Remote Real World Evidence (RWE) professional, you need a strong background in epidemiology, biostatistics, or related life sciences, typically supported by an advanced degree (e.g., MPH, MS, PhD). Familiarity with statistical software such as SAS, R, or Python, and experience working with large healthcare databases and electronic health records are crucial. Excellent analytical thinking, problem-solving abilities, and effective communication skills help translate complex data into actionable insights for stakeholders. These competencies ensure the generation of robust, real-world data analyses that inform healthcare decisions and regulatory submissions.

What is the highest paying job in clinical research?

In clinical research, senior roles such as Clinical Research Director or Vice President of Clinical Operations tend to be the highest paying, often earning six-figure salaries. These positions require extensive experience, leadership skills, and knowledge of regulatory requirements and industry standards.

What are some common challenges faced by Remote Real World Evidence (RWE) professionals and how can they be addressed?

Remote RWE professionals often encounter challenges such as managing large and diverse datasets, ensuring data privacy, and coordinating effectively with cross-functional teams across different time zones. To address these, it's important to have strong data management skills, familiarity with relevant regulations (like GDPR or HIPAA), and effective communication tools. Actively engaging in regular virtual meetings and leveraging collaborative platforms can help maintain alignment with stakeholders and ensure project milestones are met.
What are the most commonly searched types of Real World Evidence Rwe jobs in California? The most popular types of Real World Evidence Rwe jobs in California are:
What are popular job titles related to Remote Real World Evidence Rwe jobs in California? For Remote Real World Evidence Rwe jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Real World Evidence Rwe jobs in California look for? The top searched job categories for Remote Real World Evidence Rwe jobs in California are:
What cities in California are hiring for Remote Real World Evidence Rwe jobs? Cities in California with the most Remote Real World Evidence Rwe job openings:
Remote Real World Evidence Rwe jobs near you
Infographic showing various Remote Real World Evidence Rwe job openings in California as of July 2026, with employment types broken down into 89% Full Time, 4% Part Time, 5% Contract, and 2% Summer. Highlights an 100% Remote job distribution.
Staff/Senior Machine Learning Engineer, Clinical AI

Staff/Senior Machine Learning Engineer, Clinical AI

Tempus

Redwood City, CA • On-site, Remote

$170K - $230K/yr

Full-time

Posted 22 days ago

Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

We're seeking a highly skilled and innovative Staff/Senior Machine Learning Engineer to join our Clinical AI Team. As a Staff/Senior Machine Learning Engineer, you'll play a crucial role in leveraging and deploying cutting-edge natural language processing models and LLMs specifically tailored for healthcare applications at scale. Your work will contribute to optimizing clinical workflows, improving clinical trial matching, and advancing medical research. This position offers an exciting opportunity to leverage the power of natural language processing and LLMs to revolutionize healthcare and make a significant impact on people's lives.

What You Will Do:

  • Build and operate production AI pipelines: LLM-powered extraction, batch orchestration, and inference, with a focus on reliability, cost, and latency

  • Design and maintain Airflow-based orchestration for batch clinical workflows

  • Build the observability (metrics, logging, alerting) that catches regressions before they reach downstream consumers

  • Build and maintain eval infrastructure that measures clinical model output quality continuously: regression detection, drift, gold-set management, dashboards

  • Ship platform tooling and SDKs that accelerate Machine Learning Scientists and downstream consumers

  • Partner with Machine Learning Scientists to debug bad model outputs to root cause (data, prompt, or pipeline)

  • Participate in the pod's on-call rotation

  • Collaborate with platform / infrastructure teams to leverage GCP services for performance, security, and cost-efficiency

  • Author and review design docs for cross-pod work

  • Raise the engineering bar through code review and design review

Required Qualifications:

  • Strong command of Python in production environments

  • Experience designing, building, and integrating with microservices in production

  • Deployed data orchestration workflows in production (Airflow or equivalent)

  • Worked on cloud-native services (GCP preferred but not required)

  • Built monitoring, observability, and alerting for production systems

  • Hands-on experience with at least one major ML framework - we primarily use LangGraph; PyTorch, spaCy, or equivalents are equally welcome

  • Strong written and verbal communication, including experience authoring and reviewing design docs (RFCs, PRDs, or equivalent); partners well with research scientists, PMs, and clinicians

Preferred Qualifications:

  • Operated production systems hands-on - on-call rotations, incident response, postmortems

  • Experience building eval / quality measurement systems for ML or LLM outputs

  • Hands-on production LLM application experience (prompts, agents, RAG, LLM evals, extraction pipelines)

  • Built internal platforms or SDKs that other engineers / scientists depended on

  • Experience working with clinical or biomedical data (EHR, genomics, pathology, clinical notes)

  • Contributions to relevant open-source projects

#LI-BL1

New York Pay Range - $170,000-$230,000USD

California Pay Range - $170,000-$230,000USD

Illinois Pay Range - $150,000-$210,000USD

Remote - USA Range - $150,000-$210,000USD

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally,for remote roles open to individuals in unincorporated Los Angeles - including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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