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Data World Jobs (NOW HIRING)

$186 - $345/hr

# Director, Real-World Evidence Data PlatformREQ-10084861Aug 14, 2026USAAvailable in:English### Summary#LI-Remote This role will be part of the Real-World Evidence team and will support the development ...

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Senior Manager, Real-World Data Strategy Description The Real-World Data (RWD) Strategy team stewards real-world data assets end-to-end, from strategic acquisition and governance to scalable data ...

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Data World information

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$46K

$165K

$243.5K

How much do data world jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data world in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is Data World?

Data World is a data catalog and collaboration platform that helps organizations discover, govern, and share data across teams. It allows users to connect to various data sources, organize datasets, and collaborate in real-time to derive insights. Data World is often used to break down data silos, improve data governance, and make data more accessible and usable for decision-making. The platform supports integration with popular analytics and business intelligence tools, making it easier for teams to analyze and visualize data.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or computer science, often supported by a relevant degree. Experience with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate. Attention to detail, critical thinking, and effective communication are essential soft skills to interpret data and convey insights to stakeholders. These abilities are crucial for transforming complex data into actionable business decisions and driving organizational success.

What are some common challenges data analysts face when working with large datasets, and how can they be addressed?

Data Analysts often encounter difficulties such as data inconsistency, missing values, and processing delays when handling large datasets. These challenges can be mitigated by implementing robust data cleaning processes, using automation tools for repetitive tasks, and leveraging cloud-based analytics platforms for scalability. Collaboration with data engineers and IT teams is also crucial to ensure data integrity and streamline workflows. Staying updated with industry-standard software and best practices helps analysts efficiently manage complex data scenarios.

What is the difference between Data World vs Data Analyst?

AspectData WorldData Analyst
Required CredentialsTypically a background in data management, database systems, or data engineering; certifications like Microsoft Certified Data Analyst or similar are commonOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Certified Data Analyst Associate are common
Work EnvironmentPrimarily involves managing data platforms, databases, and data infrastructure; may work with data engineers and IT teamsFocuses on analyzing data sets, creating reports, and providing insights; collaborates with business teams and stakeholders
Employer & Industry UsageUsed in organizations with large data infrastructure, including tech, finance, and healthcare sectorsCommon across industries for decision-making, marketing, finance, and operations

While both roles involve working with data, Data World typically refers to the platform or environment for managing data, whereas Data Analyst focuses on analyzing data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

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What cities are hiring for Data World jobs?

Cities with the most Data World job openings:

What are the most commonly searched types of Data World jobs?

The most popular types of Data World jobs are:

What states have the most Data World jobs?

States with the most job openings for Data World jobs include:

Infographic showing various Data World job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Director, Real-World Evidence Data Platform

Novartis Farmacéutica

On-site

$186 - $345/hr

Other

Posted 3 days ago

New


Job description

# Director, Real-World Evidence Data PlatformREQ-10084861Aug 14, 2026USAAvailable in:English### Summary#LI-Remote This role will be part of the Real-World Evidence team and will support the development, implementation, and operationalization of scalable real-world data platforms that enable high-quality, timely, and strategically relevant evidence generation. The Director will help advance connected data capabilities across claims, electronic health records, registries, specialty data sources, and other fit-for-purpose data assets to support priority evidence needs across the portfolio. The Director will partner closely with HEOR leads, medical strategy teams, data partners, RWE colleagues, and cross-functional stakeholders to ensure that data platform capabilities are aligned with evidence generation priorities. This includes supporting the development of linked longitudinal data capabilities, helping evaluate and onboard data sources, strengthening data quality and documentation standards, and enabling more efficient activation of data assets for priority research questions. As a member of the RWE team, the Director will contribute to evidence generation planning and execution by helping translate strategic evidence needs into practical data platform requirements. The role requires strong collaboration, technical knowledge of real-world data, and the ability to work across internal and external partners to support high-impact RWE deliverables. This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 20% travel.### About the RoleKey Responsibilities:* Support the development and operationalization of scalable real-world data platforms that enable efficient and high-quality RWE generation.* Partner with RWE leads and medical strategy teams to understand evidence needs and translate them into data platform requirements.* Support integration and use of relevant RWD sources, including claims, electronic health records, registries, specialty data, and other fit-for-purpose datasets.* Contribute to the development of linked longitudinal data capabilities to enable robust real-world analyses and endpoints.* Help evaluate, onboard, and manage external data vendors and platform partners in collaboration with senior team members.* Support data quality frameworks, validation protocols, documentation standards, and governance processes for RWE platform use.* Collaborate with analytics, epidemiology, biostatistics, medical, access, and other cross-functional partners to ensure data assets are fit for purpose.* Contribute to RWE project execution by enabling timely access to appropriate data assets and supporting efficient study activation.* Identify opportunities to improve data platform usability, scalability, and efficiency for evidence generation.* Communicate data platform capabilities, limitations, and opportunities clearly to internal stakeholders.* Support development of materials, summaries, and recommendations for leadership discussions related to RWD platform strategy.* Maintain awareness of evolving RWD sources, data linkage approaches, analytical platforms, and industry trends relevant to RWE.Essential Requirements:Education: A Bachelors degree is required. An Advanced degree in health economics, epidemiology, statistics, public health, health policy, data science, or a related field is required. Doctoral-level training or PharmD with relevant RWE, HEOR, epidemiology, or data science experience is preferred.* 7+ years of experience in the pharmaceutical, biotechnology, healthcare, consulting, or data/analytics sector.* Experience working with real-world data sources such as claims, electronic health records, registries, specialty pharmacy data, laboratory data, or linked datasets.* Experience supporting RWE, HEOR, epidemiology, outcomes research, medical affairs, market access, or related evidence-generation activities.* Experience collaborating with cross-functional teams and external data vendors or platform partners.* Demonstrated ability to support complex projects, manage multiple priorities, and communicate technical concepts to non-technical stakeholders.* Experience with data quality assessment, data documentation, governance processes, or fit-for-purpose data evaluation is strongly preferred.* Strong understanding of real-world data sources and their application to evidence generation.* Working knowledge of RWE study designs, observational research methods, and data considerations for healthcare research.* Familiarity with data linkage, longitudinal patient journeys, endpoint development, and fit-for-purpose data assessment.* Understanding of US healthcare data ecosystems, including payer, provider, and specialty data sources.* Ability to partner with analytics and technical teams to support data platform development and implementation.* Knowledge of data privacy, compliance, documentation, and governance expectations for RWE use.**Novartis Compensation Summary:**The salary for this position is expected to range between $185,500 and $344,500 per year.The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.**Why Novartis:** Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture**Benefits and Rewards:** Learn about all the ways we’ll help you thrive personally and professionally. Read our handbook (PDF 30 MB)**EEO Statement:**The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.**Accessibility & Reasonable Accommodations**The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.USMarketingUSARemote, USRemote Position (USA)U014 (FCRS = US014) Novartis Pharmaceuticals CorporationMarket AccessFull timeRegularNoMarket AccessUSUSAREQ-10084861### Director, Real-World Evidence Data Platform #J-18808-Ljbffr