Real World Evidence Jobs
Real World Evidence jobs are open across pharmaceutical, biotech, medical device, and health technology companies, from analyst to director level, with specializations in outcomes research, database epidemiology, and health economics. Find a role that fits from the openings below and apply directly.
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Showing 5 of 31+ Real World Evidence jobs
WHY JOIN US?
At AstraZeneca, we are dedicated to being a Great Place to Work, where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. With an ambitious goal of delivering 20 new medicines by 2030, there is no better place to make a difference in medicine, for patients, and in society.
Join us on this exciting journey to pioneer the future of healthcare. Our inclusive culture champions diversity and collaboration, and we are always committed to lifelong learning, growth, and development. As part of our team, you'll contribute to groundbreaking advancements that will shape a healthier future for people everywhere. Be a catalyst for change at AstraZeneca, where your work will have a real impact on improving people's lives.
Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office is purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.
Introduction to role:Are you ready to turn complex clinical and real-world data into evidence that shapes pivotal decisions in Hematology/Oncology? Do you want your analytics to directly influence Phase 3 investments, trial design, and patient access?
In this role, you will operate where evidence generation meets hands-on analytics, partnering with stakeholders to pinpoint the highest-value evidence gaps and leading the delivery that closes them. You will move seamlessly from portfolio-level prioritization with Global Product Teams to building rigorous multimodal patient models or external control arm analyses that inform development and access.
Hematology is growing rapidly. As the technical specialist for clinical intelligence and real-world evidence, you will translate complex data into decision-ready insights, build persistent intelligence that compounds across use cases, and help steer how the portfolio advances for patients.
Accountabilities:
- Evidence Gap Prioritization: Partner with Hematology/Oncology stakeholders and Global Product Teams to identify and prioritize evidence needs across the product lifecycle, including Phase 3 investment decisions, subpopulation discovery, and trial design.
- AI and Causal Inference Analytics: Apply machine learning and causal inference to deliver robust answers on patient stratification, external control arm construction, prognostic risk adjustment, and treatment effect heterogeneity, ensuring analyses meet regulatory and HTA expectations.
- Multimodal Patient Models: Deliver and validate patient-level models that integrate clinical, genomic, imaging, and real-world data for deployment in clinical trials or routine care, with emphasis on reproducibility and rigorous validation.
- Decision-Ready Insights: Turn internal and competitor trial data, alongside real-world data, into clear insight on standard of care, patient pathways, benchmarking, and unmet need to sharpen development and access strategies.
- Platform Enablement: Work with platform and tooling teams to bring new tools, agents, and experimental approaches into evidence generation, and build Hematology-specific intelligence that persists within the Phase 3 Investment Decision Intelligence Foundation.
- Cross-Functional Collaboration: Connect strategic evidence needs with technical delivery, aligning outputs to development, regulatory, and access milestones; collaborate with Translational Science and Clinical Development to incorporate novel signals such as digital endpoints, pathology AI, and biomarker panels.
Essential Skills/Experience:
- Advanced degree (PhD or equivalent) in a quantitative discipline - epidemiology, biostatistics, computational biology, machine learning, health data science, or a related field.
- Strong methodological foundation in causal inference and observational study design, including propensity score methods, instrumental variables, target trial emulation, and comparative effectiveness research.
- Hands-on experience with machine learning and multimodal modeling, including supervised and unsupervised methods, deep learning for imaging or molecular data, and integration of heterogeneous data types into patient-level models.
- Experience building or contributing to external control arms, trial simulators, or prognostic models using real-world and/or clinical trial data.
- Understanding of regulatory and health technology assessment (HTA) evidence standards, with the ability to design analyses that meet the evidentiary bar for submissions and payer engagement.
- Proficiency in Python, R, and SQL, and familiarity with cloud-based analytics environments.
Desirable Skills/Experience:
- Domain expertise in hematology or oncology and familiarity with disease-specific endpoints, pathways, and standards of care.
- Track record of influencing cross-functional strategy with evidence, engaging product and clinical leaders to drive decisions.
- Experience deploying analytics into clinical trial operations, submissions, or payer engagements.
- Publications, conference presentations, or open-source contributions in causal inference, multimodal modeling, or real-world evidence.
- Hands-on experience with cloud platforms and MLOps practices to scale models and pipelines.
- Experience integrating digital endpoints, pathology AI, or biomarker panels into evidence strategies.
- Ability to design reusable data and model assets that generalize across indications and studies.
SO, WHAT’S NEXT?
To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be a great fit, please share this posting with them.
Are you interested in working at AZ, apply today!
AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing AZCHumanResources@astrazeneca.com.
#LI-HybridThe annual base pay for this position ranges from $122,121.60 - $160,284.60 USD. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.
In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program. Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.
Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Date Posted
01-Nov-2026Closing Date
12-Nov-2026Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
WHY JOIN US?
At AstraZeneca, we are dedicated to being a Great Place to Work, where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. With an ambitious goal of delivering 20 new medicines by 2030, there is no better place to make a difference in medicine, for patients, and in society.
Join us on this exciting journey to pioneer the future of healthcare. Our inclusive culture champions diversity and collaboration, and we are always committed to lifelong learning, growth, and development. As part of our team, you'll contribute to groundbreaking advancements that will shape a healthier future for people everywhere. Be a catalyst for change at AstraZeneca, where your work will have a real impact on improving people's lives.
Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office is purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.
Introduction to role:Are you ready to turn complex clinical and real-world data into evidence that shapes pivotal decisions in Hematology/Oncology? Do you want your analytics to directly influence Phase 3 investments, trial design, and patient access?
In this role, you will operate where evidence generation meets hands-on analytics, partnering with stakeholders to pinpoint the highest-value evidence gaps and leading the delivery that closes them. You will move seamlessly from portfolio-level prioritization with Global Product Teams to building rigorous multimodal patient models or external control arm analyses that inform development and access.
Hematology is growing rapidly. As the technical specialist for clinical intelligence and real-world evidence, you will translate complex data into decision-ready insights, build persistent intelligence that compounds across use cases, and help steer how the portfolio advances for patients.
Accountabilities:
- Evidence Gap Prioritization: Partner with Hematology/Oncology stakeholders and Global Product Teams to identify and prioritize evidence needs across the product lifecycle, including Phase 3 investment decisions, subpopulation discovery, and trial design.
- AI and Causal Inference Analytics: Apply machine learning and causal inference to deliver robust answers on patient stratification, external control arm construction, prognostic risk adjustment, and treatment effect heterogeneity, ensuring analyses meet regulatory and HTA expectations.
- Multimodal Patient Models: Deliver and validate patient-level models that integrate clinical, genomic, imaging, and real-world data for deployment in clinical trials or routine care, with emphasis on reproducibility and rigorous validation.
- Decision-Ready Insights: Turn internal and competitor trial data, alongside real-world data, into clear insight on standard of care, patient pathways, benchmarking, and unmet need to sharpen development and access strategies.
- Platform Enablement: Work with platform and tooling teams to bring new tools, agents, and experimental approaches into evidence generation, and build Hematology-specific intelligence that persists within the Phase 3 Investment Decision Intelligence Foundation.
- Cross-Functional Collaboration: Connect strategic evidence needs with technical delivery, aligning outputs to development, regulatory, and access milestones; collaborate with Translational Science and Clinical Development to incorporate novel signals such as digital endpoints, pathology AI, and biomarker panels.
Essential Skills/Experience:
- Advanced degree (PhD or equivalent) in a quantitative discipline - epidemiology, biostatistics, computational biology, machine learning, health data science, or a related field.
- Strong methodological foundation in causal inference and observational study design, including propensity score methods, instrumental variables, target trial emulation, and comparative effectiveness research.
- Hands-on experience with machine learning and multimodal modeling, including supervised and unsupervised methods, deep learning for imaging or molecular data, and integration of heterogeneous data types into patient-level models.
- Experience building or contributing to external control arms, trial simulators, or prognostic models using real-world and/or clinical trial data.
- Understanding of regulatory and health technology assessment (HTA) evidence standards, with the ability to design analyses that meet the evidentiary bar for submissions and payer engagement.
- Proficiency in Python, R, and SQL, and familiarity with cloud-based analytics environments.
Desirable Skills/Experience:
- Domain expertise in hematology or oncology and familiarity with disease-specific endpoints, pathways, and standards of care.
- Track record of influencing cross-functional strategy with evidence, engaging product and clinical leaders to drive decisions.
- Experience deploying analytics into clinical trial operations, submissions, or payer engagements.
- Publications, conference presentations, or open-source contributions in causal inference, multimodal modeling, or real-world evidence.
- Hands-on experience with cloud platforms and MLOps practices to scale models and pipelines.
- Experience integrating digital endpoints, pathology AI, or biomarker panels into evidence strategies.
- Ability to design reusable data and model assets that generalize across indications and studies.
SO, WHAT’S NEXT?
To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be a great fit, please share this posting with them.
Are you interested in working at AZ, apply today!
AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing AZCHumanResources@astrazeneca.com.
#LI-HybridThe annual base pay for this position ranges from $122,121.60 - $160,284.60 USD. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.
In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program. Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.
Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Date Posted
01-Nov-2026Closing Date
12-Nov-2026Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
See All 31 Real World Evidence Jobs
Find roles that match your experience and apply in just a few clicks.
Find Real World Evidence JobsReal World Evidence Job Market
Who's Hiring
Top Industries Hiring
- Biotechnology & Pharmaceuticals
- Technology & Software
What Employers Look For
The qualifications that appear most often in real world evidence jobs.
- Advanced degree in epidemiology, biostatistics, health economics, or a related quantitative field
- Hands-on experience with administrative claims or electronic health record databases such as Optum or IBM MarketScan
- Proficiency in SAS or R for data manipulation, statistical modeling, and study execution
- Familiarity with observational study design methods including cohort, case-control, and cross-sectional analyses
- Ability to communicate study findings and limitations to both scientific and non-scientific stakeholders
- Experience supporting regulatory submissions, HEOR dossiers, or payer evidence packages is strongly preferred
Tips for Your Real World Evidence Job Search
Tailor your resume to study designs
Hiring managers scan for the specific study designs you've executed, such as retrospective cohort, claims-based, or pragmatic trial work. Name the designs and databases explicitly in your bullets rather than describing generic analytical tasks.
List every claims database you've used
Optum, IBM MarketScan, Medicare claims, IQVIA data, and similar sources are screeners in many RWE postings. Bury them and you may not pass automated filters, so put your database experience in a dedicated skills section.
Apply early to roles that fit
Migrate Mate lists real world evidence openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by therapeutic area
RWE roles are often embedded in a therapeutic area team, so oncology, cardiovascular, or rare disease experience signals fit beyond methodological skills. Filter openings by disease area when possible and call out your TA depth in your cover letter.
Prepare a methods walk-through for interviews
Interviewers for RWE roles routinely ask you to walk through a study end-to-end, from research question through confounding control to sensitivity analysis. Practice narrating a project you've completed without relying on slides or a script.
Negotiate with publication agreements in mind
Many RWE positions include publication rights language that affects your ability to author or present the work externally. Clarify authorship policy and data disclosure terms during negotiation, not after you've signed an offer.
Real World Evidence Jobs: Frequently Asked Questions
Which companies are hiring the most real world evidences?
The companies hiring the most real world evidences right now include IQVIA, IPSEN, and Sanofi, with the largest share of openings in Massachusetts, California, and Pennsylvania, based on current listings on Migrate Mate as of November 2026. Pharmaceutical manufacturers, contract research organizations, and health analytics consultancies account for the majority of postings.
How many real world evidence jobs are remote?
About 92% of real world evidence openings are fully remote or hybrid as of November 2026, reflecting the data-centric nature of the work. Roles focused on database programming, statistical analysis, and manuscript writing tend to be the most remote-friendly, while positions requiring close collaboration with medical affairs or market access teams more often require on-site presence.
How do you become a real world evidence?
You typically start by completing a graduate degree in epidemiology, biostatistics, or health economics, then build hands-on experience with large healthcare databases during a fellowship, academic position, or entry-level industry role. Developing proficiency in SAS or R, learning to design observational studies, and contributing to peer-reviewed publications or regulatory submissions strengthens your candidacy considerably for industry RWE roles.
How do you get hired as a real world evidence with little experience?
Focus on roles titled research analyst or outcomes research associate, which are structured entry points that accept candidates with strong quantitative coursework and limited professional experience. Demonstrating thesis or dissertation work involving real-world data, claims analysis, or secondary database research can substitute for industry tenure, and internships at health analytics firms or academic medical centers provide directly relevant credentials hiring managers recognize.
What does the real world evidence interview process look like?
The process usually begins with a recruiter screen, followed by a technical interview where you walk through a study you've designed and executed from research question to sensitivity analyses. A second round often involves a case study or methods presentation to the hiring team, and final interviews typically include conversations with cross-functional stakeholders such as medical affairs, HEOR, or regulatory colleagues who will work alongside the role.
Where can I find and apply to real world evidence jobs?
You can find and apply to real world evidence jobs on Migrate Mate, which lists current openings from across the United States in one searchable place. Find roles that match your background, experience level, and preferred location, then apply directly to each listing without leaving the platform.
See All 31 Real World Evidence Jobs
Find roles that match your experience and apply in just a few clicks.
Find Real World Evidence Jobs