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

Lead and execute HEOR and real-world evidence (RWE) projects (e.g., outcomes analysis, treatment patterns, healthcare resource utilization) with external Pharma, academic, and other partners.

Learn more at Associate Director, Market Access Analytics and Real World Evidence (MAA & RWE) - Indirect Treatment Comparisons The Associate Director, Market Access Analytics and Real-World Evidence ...

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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.
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Associate Director, Analysis Oversight Lead RWE Safety: Inflammation

Associate Director, Analysis Oversight Lead RWE Safety: Inflammation

Gilead

Parsippany, NJ • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted yesterday


Gilead Sciences rating

9.7

Company rating: 9.7 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 71 rated pharmaceutical


Job description

At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.

Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact.

We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together.
Job Description

The Real-World Evidence (RWE) function is part of the Clinical Data Science (CDS)departmentwithin the Development organization and aims to unlock the power of real-world evidence to help transform health innovations into life-changing medicines for patients.CDS-RWE conducts observational research and generates analysis results to inform decisions throughout the product lifecycle across research, development, post-approval, and commercialization. Observational research is conducted on data collected from individuals assessed for biomedical, health and other outcomes, and includes observational studies and observational analyses. Source data to generate the analysis results may be based on primary data collection, secondary data use, or both. These analysis results, generated using a rigorous process, provide insights and evidence for internal (e.g., program, safety) and external (e.g., regulators, healthcare providers) stakeholders.

Position Summary:

The Associate Director, Analysis Oversight Lead RWE Safety: Inflammation position is responsible for the oversight of timeliness and quality of safety programming and analysis deliverable supporting the CDS-RWE Inflammation therapeutic area (TA). This role reports to the CDS-RWE Safety Epidemiologist Lead and partners with CDS-RWE scientific leads and Patient Safety stakeholders to translate safety analysis requirements into high-quality, compliant programming and analysis deliverables. Serving as the primary point of contact for analysis vendors and service vendors, this role is responsible for planning, execution, and quality acceptance of safety analysis deliverables. The position requires demonstrated experience in managing complex analytical workflows to generate analysis results in a GxP compliant programming environment to meet time-critical deadlines.

Key Responsibilities:

  • Responsible for tracking, prioritization and delivery of programming and analysis deliverables to meet pharmacoepidemiology and safety requirements across the TA portfolio

  • Partner with the CDS-RWE Safety Epidemiology Lead to ensure programming and analysis deliverables are generated using a compliant and traceable process

  • Responsible for vendor performance management and escalation of risks impacting compliance or timeliness of analysis deliverables

  • Responsible for the vendor oversight plans, performance and quality checks, for programming, analysis and other deliverables per the vendor oversight process

  • Own end-to-end oversight of analysis deliverables, ensuring timely, high-quality completion aligned to TA priorities, with proactive risk identification and mitigation

  • Partner with the CDS-RWE scientific leads and Patient Safety stakeholders to monitor translation of requirements into analysis specifications and deliverables by vendors or service providers

  • Monitor and review the quality of programming and analysis deliverables e.g., specifications, programs, cohorts, feasibility results, analysis results, publications, abstracts, and other outputs

  • Monitor vendor and service provider processes to ensure compliance with quality and regulatory requirements

  • Ensure locking or archiving of programming and analysis deliverables and outputs, as appropriate

  • Monitor utilization and coordinate assignment of analyses to vendors or service providers to meet quality and timeline priorities

  • Serve as an escalation point to resolve quality, scope and timeliness issues with vendors and service providers

  • Maintain regular communication with vendors and service providers to deliver on agreed upon priorities and milestones

  • Ensure onboarding of vendors and service providers to data analysis tools, programming environments, and access to observational data

  • Identify and document areas to improve efficiency, e.g., process optimization, increased standardization, etc.

  • Collaborate with other oversight roles in other TAs for uniformity and consistency

Basic Qualifications

  • Bachelor's degree and 10+ years of relevantexperience; OR

  • Masters' degree and 8+ years of relevant experience; OR

  • PhD and 2+ years of relevant experience

Qualifications:

  • 5+ years of experience as a data scientist or data analyst in generating analysis deliverables for observational research

  • MS or more advanced degree in Computer Science, Data Science, Biostatistics, Epidemiology or equivalent preferred, BS degree in Computer Science, Data Science, Biostatistics, Epidemiology or equivalent required

  • Hands-on training and experience working with both primary data as well as real world data sources using multiple programming tools (e.g., SAS, R) in GxP compliant systems environment

  • Demonstrated experience in leading and managing work of programmers and data analysts to balance priorities and timelines in a matrixed environment

  • Proven ability to review programs and analysis outputs for quality, completeness and best practices

  • Ability to clearly communicate the scope, requirements, expectations and standards for generating time-critical analysis deliverables

  • Ability to communicate and interpret analysis results

  • Strong problem-solving skills using data driven approaches

  • Demonstrated ability to collaborate cross-functionally with program, study and functional teams, and vendor resources

  • Strong written and verbal communication skills

  • Understanding of the RWE regulatory landscape preferred

  • Experience in working with international data sets and/or Common Data Models (e.g., OMOP) preferred

People Leader Accountabilities

  • Create Inclusion - knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams.

  • Develop Talent - understand the skills, experience, aspirations and potential of their employees and coach them on current performance and future potential. They ensure employees are receiving the feedback and insight needed to grow, develop and realize their purpose.

  • Empower Teams - connect the team to the organization by aligning goals, purpose, and organizational objectives, and holding them to account. They provide the support needed to remove barriers and connect their team to the broader ecosystem.


The salary range for this position is: $165,495.00 - $214,170.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*.

For additional benefits information, visit:

https://www.gilead.com/careers/compensation-benefits-and-wellbeing

* Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans.


For jobs in the United States:

Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability,genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.comfor assistance.


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