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Real World Data Science Jobs (NOW HIRING)

Collaborate with Biostatistics and Data Science to engineer statistical analysis plans, interpret ... Deliver real-world data assets that dismantle payer coverage barriers and ground product ...

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Advanced degree (Master in life science or data-related field, or MBA) * 5+ years of experience in data strategy, analytics, consulting, or real-world data (RWD) related roles * Expertise in various ...

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Head of Data Engineering & Platform, Real-World Data (RWD)POSITION SUMMARY Natera is seeking a ... QUALIFICATIONS * Bachelor's, Master's or PhD degree in Computer Science, Engineering ...

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Real World Data Science information

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$37.5K

$122.7K

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How much do real world data science jobs pay per year?

As of Jun 11, 2026, the average yearly pay for real world data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How does a Real World Data Scientist typically collaborate with cross-functional teams in healthcare or pharmaceutical organizations?

Real World Data Scientists frequently work alongside clinicians, epidemiologists, biostatisticians, and regulatory experts to derive insights from large, complex healthcare datasets. Collaboration often involves translating clinical questions into analytical approaches, communicating technical findings to non-technical stakeholders, and ensuring analytical methods align with regulatory requirements. Regular meetings, data reviews, and joint project planning sessions are common, making strong communication and teamwork skills essential for success in this role.

What is Real World Data Science?

Real World Data Science involves analyzing data collected from actual patient experiences, such as electronic health records, insurance claims, and patient registries, rather than data from controlled clinical trials. Professionals in this field use advanced statistical and computational techniques to generate insights about the effectiveness, safety, and usage of medical treatments and healthcare interventions. These insights help inform healthcare decisions, regulatory submissions, and clinical guidelines by reflecting how treatments work in everyday medical practices.

What is the difference between Real World Data Science vs Data Analyst?

AspectReal World Data ScienceData Analyst
Required skillsStatistical analysis, machine learning, programming (Python, R), data modelingData visualization, SQL, basic statistics, Excel
Work environmentResearch-focused, cross-functional teams, data-driven projectsReporting, dashboards, business insights
Industry usageHealthcare, finance, tech, consultingRetail, marketing, finance, operations

Real World Data Science involves advanced analytics, machine learning, and modeling to extract insights from complex data, often in research or product development contexts. Data Analysts focus on interpreting data through visualization and reporting to support business decisions. While both roles require data skills, Real World Data Scientists typically handle more technical, predictive tasks, whereas Data Analysts concentrate on descriptive analytics and reporting.

What are the key skills and qualifications needed to thrive as a Real World Data Scientist, and why are they important?

To thrive as a Real World Data Scientist, you need a strong background in statistics, programming (often Python or R), and knowledge of healthcare data, typically supported by a degree in data science, biostatistics, or a related field. Familiarity with tools like SQL, machine learning libraries, data visualization platforms, and experience with real-world evidence (RWE) databases are highly valued. Critical thinking, communication, and problem-solving skills set outstanding professionals apart by enabling them to translate complex data into actionable insights. These competencies are crucial for generating reliable evidence that informs healthcare decision-making and drives innovation.
Infographic showing various Real World Data Science job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Associate Director, R&D Data Science & Digital Health - Immunology Real World Evidence

Jj

Titusville, NJ • On-site, Remote

$58K - $59K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

People Leader

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more athttps://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine is currently seeking an Associate Director, R&D Data Science & Digital Health - Immunology Real World Evidence to join our Data Science and Digital Health team (DSDH) and work at one of our sites in either Spring House, PA, Cambridge, MA, Titusville, NJ, or Raritan, NJ (no fully remote option available).

The Associate Director, R&D Data Science & Digital Health (DSDH), Immunology RealWorld Evidence (RWE), is an individual contributor responsible for delivering complex data science and realworld evidence strategies in support of Immunology research and development programs. The role applies advanced real-world methodologies to generate insights that inform clinical development, and scientific decisionmaking both internal and regulatory.

Operating with a high degree of autonomy within a defined scope, the Associate Director partners closely with crossfunctional teams to translate disease and therapeutic area priorities into actionable research questions while aligning with established functional strategies and governance frameworks.


Key Responsibilities

  • Contribute to the execution of realworld and digital health evidence plans aligned with Immunology disease and therapeutic area objectives.
  • Lead defined evidence generation workstreams supporting clinical development programs, including identifying evidence gaps, , patient characterization and subgroup identification, novel endpoint exploration and validation, asset differentiation, and comparative efficacy and effectiveness studies.
  • Apply data science and statistical methodologies to real-world data sources to address prioritized scientific and development questions.
  • Collaborate with Disease Area Strongholds, Compound Development Teams, and crossfunctional partners to ensure deliverables meet program evidence needs and timelines.
  • Execute endtoend project activities, including data fit-for-purpose assessment and validation, protocol development, results documentation and interpretation, and stakeholder management throughout the project life cycle.
  • Serve as a technical subjectmatter expert within crossfunctional teams, providing sound methodological recommendations to support program decisionmaking.
  • Prepare and deliver analytical summaries, presentations, and written materials for internal stakeholders and governance forums.
  • Contribute to scientific manuscripts, abstracts, and internal knowledgesharing activities based on clinical trial and realworld analyses.
  • Support external scientific collaborations by providing real-world evidence expertise and contributing to joint project deliverables.
  • Participate in crossfunctional initiatives that enhance data science, digital health, and realworld evidence capabilities across the organization.


Required Qualifications

  • PhD, PharmD, MD, or equivalent advanced degree in statistics, bioinformatics, epidemiology, computational biology, data science, or related quantitative discipline.
    (Candidates with a Master's degree and substantial relevant experience may be considered.)
  • Demonstrated experience applying data science, or realworld evidence methods within pharmaceutical R&D, healthcare analytics, consulting, or a related professional field.
  • Proven ability to work effectively within matrixed, crossfunctional teams.
  • Experience working with real-world data sources such as electronic health records, administrative claims, registries, or secondary data.
  • Strong stakeholder management, analytical, problemsolving, and communication skills.


Preferred Qualifications

  • Experience supporting Immunology or related therapeutic area programs.
  • Handson delivery of research projects using advanced statistical methods, predictive modeling, or machine learning.
  • Experience contributing to scientific publications, abstracts, or regulatorysupporting analyses.

This position will be located at one of our campuses in either Spring House PA, Cambridge MA, Titusville NJ, or Raritan NJ (no fully remote option available). Occasional travel for crossfunctional workshops, design sessions, and team meetings may be required.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
The anticipated base pay range for this position is $137,000 to $235,750. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following time off benefits:
Vacation - up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.


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Required Skills:

Preferred Skills:

Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Cross-Functional Collaboration, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking, Team Management