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Real World Evidence Rwe Jobs in Boston, MA (NOW HIRING)

Tempus

Associate Director RWE, PharmaR&D

Boston, MA

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Associate Director RWE, PharmaR&D Locations: Boston, MA | New York City, NY | Chicago, IL Are you ...

Datavant

Client Partner, Ecosystem

Boston, MA · On-site

... Real-World Evidence (RWE) solutions - to existing and new Ecosystem clients. This role requires a deep understanding of your assigned customers' business goals, organizational structure, and ...

TriNetX LLC

Proposal Manager, Commercial

Cambridge, MA · On-site

$100K - $115K/yr

... Real-World Evidence (RWE) Research, Consulting, Data Licensing, and other areas Successful candidates will have a previous experience in Real-World Data (RWD) research proposal, grant, or contract ...

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Real World Evidence Rwe information

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

AspectReal World Evidence RweClinical Data Analyst
Required credentialsTypically requires a background in healthcare, epidemiology, or biostatistics, often with a master's or PhDUsually requires a degree in health informatics, biostatistics, or related fields, with similar certifications
Work environmentPrimarily in healthcare, pharmaceutical, or research organizations analyzing real-world dataIn clinical research settings, hospitals, or pharmaceutical companies analyzing clinical trial data
Employer and industry usageUsed by pharma companies, healthcare providers, and research institutions to generate real-world insightsUsed by research organizations, hospitals, and pharma for clinical trial data management and analysis

Real World Evidence Rwe professionals focus on analyzing data from real-world settings like electronic health records and insurance claims, while Clinical Data Analysts primarily work with clinical trial data. Both roles require strong analytical skills and related credentials, but Rwe specialists emphasize real-world data sources to inform healthcare decisions.

What is the difference between RWE and real-world data?

In the context of a Real World Evidence (RWE) role, real-world data (RWD) refers to the raw data collected from sources like electronic health records, claims databases, and patient registries. RWE is the clinical evidence generated by analyzing and interpreting RWD to inform healthcare decisions, regulatory approvals, and policy making. RWD is the data input, while RWE is the meaningful insights derived from that data through analysis and research methods.

How do you get into RWE?

To enter a role in Real World Evidence (RWE), candidates typically need a background in healthcare, epidemiology, or data science, along with skills in biostatistics and familiarity with electronic health records and real-world data sources. Gaining experience through relevant internships, certifications, or advanced degrees can improve prospects. Proficiency in statistical software and understanding of regulatory requirements are also valuable.

What is Real World Evidence (RWE) in the healthcare industry?

Real World Evidence (RWE) refers to clinical evidence regarding the usage and potential benefits or risks of a medical product, derived from analysis of real-world data (RWD). This data is collected from sources outside of traditional clinical trials, such as electronic health records, insurance claims, patient registries, and wearable devices. RWE plays a crucial role in understanding how treatments work in routine clinical practice, informing regulatory decisions, and supporting drug development and market access. Organizations use RWE to complement clinical trial data, improving healthcare outcomes and patient care.

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

To thrive as a Real World Evidence (RWE) professional, you need a strong background in epidemiology, biostatistics, and data analysis, often supported by an advanced degree in a relevant scientific field. Familiarity with statistical software (such as SAS, R, or Python), real-world data sources (like EHRs and claims databases), and regulatory guidelines (FDA/EMA) is essential. Strong communication, problem-solving, and cross-functional collaboration skills help convey complex findings to stakeholders and integrate RWE into decision-making. These competencies are crucial for generating credible insights that inform clinical, regulatory, and commercial strategies in the healthcare industry.

How does a Real World Evidence (RWE) professional typically collaborate with cross-functional teams in the pharmaceutical industry?

RWE professionals often work closely with colleagues from epidemiology, health economics, medical affairs, and regulatory affairs to design and execute studies using real-world data. Collaboration is essential, as RWE findings support evidence generation for regulatory submissions, market access, and post-marketing surveillance. Regular meetings, data-sharing sessions, and joint project planning are common, ensuring all stakeholders are aligned on study objectives, methodologies, and data interpretation. This collaborative environment helps translate complex data into actionable insights that support decision-making across the organization.

What are examples of real world evidence?

Real World Evidence (RWE) in the context of a role like a Real World Evidence professional involves data collected from sources outside traditional clinical trials, such as electronic health records, insurance claims, patient registries, and wearable devices. These data sources are analyzed to assess treatment effectiveness, safety, and healthcare outcomes in real-world settings, often using statistical and data management tools. RWE helps inform healthcare decisions and regulatory approvals by providing insights from diverse patient populations outside controlled environments.

What is RWE real world evidence?

Real World Evidence (RWE) is data collected from real-world settings such as electronic health records, claims data, and patient registries. In the context of a role like a Real World Evidence (RWE) professional, it involves analyzing this data to support healthcare decision-making, regulatory submissions, and clinical research using statistical tools and data management skills.
What are the most commonly searched types of Real World Evidence Rwe jobs in Boston, MA? The most popular types of Real World Evidence Rwe jobs in Boston, MA are:
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Real World Evidence Rwe jobs near you
Infographic showing various Real World Evidence Rwe job openings in Boston, MA as of June 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 50% In-person, and 50% Remote job distribution.

Director Health Economics & Outcomes Research (HEOR)

BioNTech SE

Cambridge, MA

$168K - $268K/yr

Other

Posted 26 days ago

Job description

London, United Kingdom; Cambridge, US; Gaithersburg, US; Mainz, Germany; New Jersey, US   |   full time   |   Job ID: 11271 

About the role:

As the Global HEOR Director, you will be at the forefront of advancing BioNTech's mission by driving impactful health economics and outcomes research strategies. In this role, you will shape value evidence-based approaches that contribute to global market access and reimbursement success, ensuring patients worldwide benefit from our innovative therapies. You'll collaborate with cross-functional teams in a dynamic environment that values scientific rigor and methodological advancements.

Your work will directly influence clinical development decisions, regulatory submissions, and payer communications & interactions. By leveraging your expertise in HEOR methodologies, real-world evidence, and cost-effectiveness analysis, you'll play a pivotal role in enhancing BioNTech's ability to deliver transformative treatments to diverse populations.

Your contribution:

  • Develop and execute Global value evidence generation plans for systematic literature reviews (SLR), indirect treatment comparisons (ITC), cost-effectiveness analyses (CEA), budget impact analyses (BIA), real-world evidence (RWE), and patient-reported outcomes (PRO) to optimize clinical development decisions across all stages of drug development 
  • Conduct global epidemiology literature reviews to inform multi-regional clinical trial site selection and recruitment strategies
  • Provide guidance on FDA regulations related to patient-reported outcomes (PROs) and patient-focused drug development (PFDD), ensuring alignment with labeling claims
  • Prepare regulatory-grade documents such as FDA/Global Regulatory briefing books for PRO Endpoint implementation, epidemiology, and pediatric investigation plans
  • Lead the implementation of robust evidence synthesis strategies to support global pharmaceutical launches and reimbursement dossiers across HTA markets & Non HTA Markets like PICOS Simulation/Scoping, PICOS feasibility assessment and development JCA dossiers
  • Lead the development of early advice (EA) dossiers (Country level and JSC) and actively participate in discussion with relevant stakeholders on the value of the clinical program. Stay at the forefront of industry trends and integrate emerging methodologies into evidence synthesis plans including the use of AI in SLR/ITCs/ RWE and Global Value Evidence tool kit development
  • Collaborate with key opinion leaders, including medical experts, through structured engagements like advisory boards and Delphi panels
  • Develop pre-approval dossiers, launch models (CEA/BIA), tools, relevant Health Care Economic Information (HCEI) training materials to support US Account Management teams, Medical Science Liaisons, and field-based HEOR professionals
  • Support other HEOR team members by reviewing their evidence generation plans, publications and offering constructive- solution oriented feedback.
  • Mentor HEOR fellows and early-career team members while providing constructive feedback on evidence generation plans 

 

A good match:

  • MS required; Doctoral degree (PhD/PharmD/MD) preferred in Public Health, Epidemiology, Health Economics, or related fields with significant experience conducting HEOR research 
  • At least 5 years of relevant experience (or 10 years with MS degree) conducting HEOR research across methodologies such as SLR, ITC/NMA/MAIC/STC, CEA/BIA models, RWE designs, and PRO analytics 
  • Expertise in US/Ex-US real-world data sources (e.g., Komodo, Optum, Medicare RIF) with proficiency in study design evaluation and improvement
  • Experience with eCOA implementation preferred; familiarity with FDA COA Type C meetings and negotiating PRO label claims a plus
  • Proven track record of peer-reviewed publications showcasing HEOR expertise across multiple domains
  • Deep understanding of EU-HTA requirements including JSC/EA/JCA implementation alongside knowledge of global health technology assessment guidelines
  • Excellent communication skills with experience presenting HEOR research to payers/population health decision-makers

Join BioNTech's dedicated team to lead transformative health economics research that shapes the future of healthcare globally!

Your benefits and remuneration:

If the position is filled in the US, the Expected Pay Range is $168,100/year to $268,700/year + benefits, annual bonus & equity (bonus and equity is variable and dependent on company and individual performance). Compensation for the role will depend on several factors, including responsibilities of the job, education, experience, knowledge, skills, and abilities. 
Compensation at other locations may vary significantly. 

BioNTech is committed to the wellbeing of our team members and offers a variety of benefits in support of our diverse employee base. We offer competitive remuneration packages which is determined by the specific role, location of employment and also the selected candidate's qualifications and experience.

Note: The availability, eligibility and design of the listed benefits may vary depending on the location. The final requirements for the individual use of our benefits are based on the company's internal policies and applicable law.

How to apply:

Apply now by sending us your application documents including Curriculum Vitae, copy of ID, copies of degree certificates and professional certificates, motivation letter as well as your contact details via our online form.

Please note:

Only applications sent via our online form shall be considered. By submitting your application, you acknowledge that a background check will be conducted as part of the recruitment process in accordance with applicable laws and regulations. If you are considered for the position, BioNTech will conduct the background check through our service provider 'HireRight'. You will be informed accordingly by your BioNTech-Recruiter.

We are looking forward receiving your application.

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