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Real World Evidence Rwe Jobs in Newark, NJ (NOW HIRING)

The HEOR Science Liaison delivers credible, non-promotional scientific exchange across clinical evidence, real-world evidence (RWE), pharmacoeconomics, and health outcomes to support informed ...

Strong understanding of real-world data (RWD), real-world evidence (RWE), claims data, population health analytics, value-based care initiatives, market access, and payer strategy. * Strong ...

Staff Data Engineer- RWE

New York, NY · On-site

$190K - $220K/yr

WHAT YOU'LL DO AT H1 You'll be the senior-most data engineer on the Real World Evidence (RWE) team, owning the claims pipelines that are becoming H1's largest and most important datasets. This is a ...

This leader will generate high-quality real-world, clinical, and economic evidence to demonstrate ... Lead the external dissemination of HEOR/RWE deliverables including publications, presentations, and ...

This leader will generate high-quality real-world, clinical, and economic evidence to demonstrate ... Lead the external dissemination of HEOR/RWE deliverables including publications, presentations, and ...

Showing results 21-40

Real World Evidence Rwe information

What is real world evidence (RWE)?

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.

How does a real world evidence (RWE) professional collaborate with cross-functional teams?

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 the key skills and qualifications needed to thrive as a real world evidence (RWE) professional?

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.

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 are the most commonly searched types of Real World Evidence Rwe jobs in Newark, NJ?

The most popular types of Real World Evidence Rwe jobs in Newark, NJ are:

What are popular job titles related to Real World Evidence Rwe jobs in Newark, NJ?

For Real World Evidence Rwe jobs in Newark, NJ, the most frequently searched job titles are:

What job categories do people searching Real World Evidence Rwe jobs in Newark, NJ look for?

The top searched job categories for Real World Evidence Rwe jobs in Newark, NJ are:

What cities near Newark, NJ are hiring for Real World Evidence Rwe jobs?

Cities near Newark, NJ with the most Real World Evidence Rwe job openings:

Infographic showing various Real World Evidence Rwe job openings in Newark, NJ as of August 2026, with employment types broken down into 6% Internship, 50% Full Time, 32% Part Time, and 12% Contract. Highlights an 84% In-person, and 16% Remote job distribution.

Director, Health Economics & Outcomes Research (HEOR)

BioNTech SE

Berkeley Heights, NJ

$168K - $268K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Job description

Cambridge, US; New Jersey, US   |   full time   |   Job ID: 9840 

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!

Expected Pay Range: $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.

Your Benefits:

BioNTech US is committed to employee wellbeing and offers best-in-class benefits & HR programs to support an inclusive & diverse workforce. Salaried/Position-Targeted Hourly Employees working 30+ hours per week are eligible for our comprehensive benefits package. Benefits include but are not limited to:

  • Medical, Dental and Vision Insurance
  • Life, AD&D, Critical Illness Insurance
  • Pre-tax HSA & FSA, DCRA Spending Accounts
  • Employee Assistance & Concierge Program (EAP) available 24/7
  • Parental and Childbirth Leave & Family Planning Assistance
  • Sitterstream: Virtual Tutoring & Childcare Membership
  • Paid Time Off: Vacation, Sick, Bereavement, Holidays (including Floating) & Year-End U.S. Shutdown.
  • 401(K) Plan with Company Match
  • Tuition Reimbursement & Student Loan Assistance Programs
  • Wellbeing Incentive Platforms & Incentives
  • Professional Development Programs
  • Commuting Allowance and subsidized parking
  • Discounted Home, Auto & Pet Insurance

...and more! More details to be shared.
 

Apply now - We look forward to your application!

Apply for our Cambridge, US; New Jersey, US location and simply send us your documents using our online form.

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.