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Home Based Rwe Jobs in California (NOW HIRING)

Home Based Rwe information

What are the key skills and qualifications needed to thrive as a Home-Based Real-World Evidence (RWE) Analyst, and why are they important?

To thrive as a Home-Based RWE Analyst, you need a solid background in epidemiology, biostatistics, or related health sciences, often supported by a relevant degree. Familiarity with statistical software (such as SAS, R, or Python), data management systems, and experience with real-world data sources like electronic health records are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills ensure accurate analysis, meaningful insights, and effective collaboration in remote environments, driving evidence-based decisions in healthcare.

Is RWE a good company to work for?

Home Based RWE roles are typically project-based or contract positions in the healthcare and research industries. The work environment often offers flexible schedules and requires skills in data analysis and regulatory compliance. Overall, job satisfaction depends on individual preferences and the specific employer or project.

What is the difference between Home Based Rwe vs Home Based Rwe?

AspectHome Based Rwe

Since the comparison is with itself, the differences are minimal or non-existent. Typically, 'Home Based Rwe' refers to remote workers conducting real-world evidence (Rwe) research or data collection from home. They usually require similar credentials, such as healthcare or research certifications, and work in the healthcare or pharmaceutical industry. The role involves remote data analysis, patient record review, or research coordination, often with flexible schedules. Overall, 'Home Based Rwe' is a specialized remote role focused on real-world evidence activities within the healthcare sector.

What are home-based RWE jobs?

Home-based RWE (Real World Evidence) jobs involve analyzing and interpreting health data outside of traditional clinical trials, often from sources such as electronic health records, insurance claims, and patient registries. Professionals in these roles work remotely to generate insights that inform healthcare decisions, support regulatory submissions, and guide product development. These positions typically require strong analytical skills, experience in epidemiology or biostatistics, and familiarity with healthcare data sources.

What is the easiest WFH job to get hired at?

Home Based RWE (Real World Evidence) roles often require a background in healthcare, research, or data analysis, and typically involve tasks like data collection and report writing. Entry-level positions may require minimal experience and can be accessible through online job boards, making them relatively easier to secure for those with relevant skills and certifications. Strong communication skills and familiarity with remote work tools can also improve chances of getting hired quickly.

What sort of job can I do from home?

A Home Based Rwe (Real World Evidence) professional typically conducts data analysis, research, and reporting remotely for healthcare or pharmaceutical companies. These roles often require skills in data management, familiarity with clinical data, and the use of specialized software, allowing work to be performed from a home environment. Such jobs usually involve flexible schedules and may require relevant certifications or experience in healthcare or data analysis.

How does working as a Home-Based Real World Evidence (RWE) professional typically differ from onsite roles in terms of collaboration and communication?

As a Home-Based RWE professional, you will primarily collaborate virtually with cross-functional teams such as clinical researchers, data scientists, and regulatory affairs staff. Effective digital communication skills are vital, as much of the coordination occurs through video calls, project management tools, and shared digital platforms. While you have the flexibility of remote work, maintaining regular touchpoints and clear documentation is essential to stay aligned with project goals and timelines. You may also participate in virtual team meetings and occasional in-person workshops or conferences, depending on the employer.

What jobs can you do staying at home?

Home Based Rwe (Real World Evidence) professionals typically work remotely analyzing healthcare data, preparing reports, and supporting clinical research from home. Other common remote jobs include customer service, data entry, virtual assistance, content writing, graphic design, and software development, often requiring specific skills and tools like computers and internet access.
What are the most commonly searched types of Rwe jobs in California? The most popular types of Rwe jobs in California are:
What job categories do people searching Home Based Rwe jobs in California look for? The top searched job categories for Home Based Rwe jobs in California are:
What cities in California are hiring for Home Based Rwe jobs? Cities in California with the most Home Based Rwe job openings:
Infographic showing various Home Based Rwe job openings in California as of June 2026, with employment types broken down into 4% As Needed, 94% Part Time, 1% Temporary, and 1% Nights. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

Decision Analytics Associate Consultant - Biometrics

ZS

South San Francisco, CA โ€ข On-site

$120K - $137K/yr

Full-time

Posted 29 days ago


Job description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
Insights & Analytics
ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging deep domain expertise, advanced data analytics, and problem-solving techniques. Our recommendations and solutions are fit-for-purpose and based on rigorous research and analysis.
What You'll Do: Decision Analytics Associate Consultant in the Drug Development Practice Area will...
  • Lead, or co-lead workstreams within larger engagements, managing day-to-day activities, timelines, and deliverables while ensuring project quality
  • Drive clinical data and biometrics transformation initiatives across clinical data management, statistical programming, and biostatistics for pharmaceutical sponsors and CROs
  • Work directly with cross-functional teams supporting ongoing and completed Phase I, II, III, and IV clinical trials, contributing to the collection, management, transformation, analysis, and submission of human clinical trial data throughout the study lifecycle
  • Analyze current-state clinical data flows, systems, and standards (e.g., EDC platforms, non-EDC sources, CDISC SDTM, ADaM) and define future-state architectures and processes
  • Design, specify, or oversee data transformation pipelines that take EDC and non-EDC data from sources systems to submission-ready datasets
  • Shape and deliver AI-focused programs that improve how CDM and SP work is performed (e.g., automation of data review, anomaly detection, edit-check optimization, programming productivity, documentation generation)
  • Partner cross-functionally with clinical operations, data management, biostatistics, statistical programming, and IT teams, serving as a bridge between technical analytics and business needs
  • Collaborate with AI, data science, and technology teams

What You'll Bring
  • Bachelor's or master's degree required in any scientific, analytical, or technical discipline with strong record of academic success
  • 3-5 years of relevant post-collegiate experience in clinical data management, statistical programming, biometrics, or related clinical development functions within a pharmaceutical sponsor, biotechnology company, or CRO. Candidates must have direct hands-on experience supporting Phase I, II, III, or IV human clinical trials and working with the systems, processes, and data generated throughout the clinical trial lifecycle. A PhD may substitute in lieu of work experience
  • Demonstrated ability to lead workstreams, gather and manage requirements, and collaborate with cross-functional and client stakeholders in a structured, project-delivery environment
  • Ability to act as a client-facing consultant, communicating technical concepts to non-technical audiences and supporting project delivery
  • Hands-on experience with clinical trial datasets, including EDC (e.g., Medidata Rave, Veeva EDC) and non-EDC sources (e.g., central laboratory data, ECG, ePRO/eCOA, imaging, PK/PD, wearables, real-world data)
  • Demonstrated experience supporting the execution, management, analysis, or submission of data from Phase I-IV human clinical trials. Strong understanding of GCP, clinical trial operations, and regulatory expectations for analysis and submission datasets
  • Familiarity with clinical trial data standards (e.g., CDISC, SDTM) and biological/RWE datasets used for reuse in clinical analytics
  • Interest in and exposure to AI, automation, or advanced analytics in R&D/CDM/biometrics, and motivation to help clients adopt AI-enabled ways of working from source to submission
  • Fluency in English
  • Client-first mentality
  • Intense work ethic
  • Collaborative spirit and problem-solving approach

Required: Experience directly supporting human clinical trials (Phase I-IV) through clinical data management, statistical programming, biometrics, clinical operations, or related functions. Experience limited to preclinical research, observational studies, real-world evidence, healthcare analytics, or non-interventional data environments will not meet the requirements for this role.
How you'll grow:
  • Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
To complete your application:
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com

About ZS

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

Evanston, IL, US

Year founded

1983