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Clinical R Programmer Jobs in Reading, PA (NOW HIRING)

Schuylkill Center

Occupational Therapist (OT)

Pottsville, PA · On-site

$36.75 - $48.50/hr

A.R.E. (Service, Honesty, Accountability, Respect, and Excellence) * An employer who cares about ... Occupational Therapist (OT) will be responsible for Clinical Programming and for maintaining ...

Schuylkill Center

Occupational Therapist (OT)

Pottsville, PA · On-site

$36.75 - $48.50/hr

A.R.E. (Service, Honesty, Accountability, Respect, and Excellence) * An employer who cares about ... Occupational Therapist (OT) will be responsible for Clinical Programming and for maintaining ...

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All JobsClinical R Programmer JobsClinical R Programmer Jobs in Reading, PA

Clinical R Programmer information

See Reading, PA salary details

$23

$62

$98

How much do clinical r programmer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for clinical r programmer in Reading, PA is $62.21, according to ZipRecruiter salary data. Most workers in this role earn between $51.49 and $70.43 per hour, depending on experience, location, and employer.

What is a Clinical R programmer?

Clinical R Programmers are professionals who use the R programming language to manage, analyze, and visualize clinical trial data in the pharmaceutical, biotech, or healthcare industries. They play a key role in preparing statistical reports, generating tables, listings, and figures (TLFs), and ensuring data integrity for regulatory submissions. Clinical R Programmers collaborate with statisticians, data managers, and clinical teams to ensure the accuracy and compliance of clinical trial results with industry standards and regulatory requirements.

What skills and qualifications are needed to be a Clinical R programmer?

To thrive as a Clinical R Programmer, you need a solid background in statistics, R programming, and clinical trial data analysis, often supported by a degree in statistics, biostatistics, or a related field. Expertise in SAS, CDISC standards (SDTM/ADaM), and familiarity with clinical data management systems are commonly required. Attention to detail, problem-solving skills, and effective communication enable you to interpret data accurately and collaborate with cross-functional teams. These skills are vital for ensuring reliable statistical outputs that support regulatory submissions and data-driven decisions in clinical research.

What are common challenges faced by Clinical R programmers when working with clinical trial data?

Clinical R Programmers often encounter challenges such as handling large and complex datasets, ensuring strict compliance with regulatory standards (like CDISC SDTM and ADaM), and maintaining data integrity throughout the analysis process. Collaboration can be demanding, as programmers must frequently coordinate with biostatisticians, data managers, and clinical teams to interpret data requirements and resolve discrepancies. Staying updated with evolving industry guidelines and managing tight project timelines are also common aspects of the role.

What is the difference between Clinical R Programmer vs Clinical SAS Programmer?

AspectClinical R ProgrammerClinical SAS Programmer
Required CredentialsTypically requires a degree in statistics, biostatistics, or related field; proficiency in R programmingUsually requires a degree in statistics, biostatistics, or related field; proficiency in SAS programming
Work EnvironmentOften works in research-focused settings, academia, or biotech companies using open-source toolsCommonly employed in pharmaceutical companies, CROs, and clinical trial data analysis using SAS
Industry UsageGrowing in popularity for data analysis and visualization in clinical researchStandard in clinical trial data management and regulatory submissions

While both roles involve programming for clinical data analysis, Clinical R Programmers focus on using R for statistical analysis and visualization, whereas Clinical SAS Programmers primarily use SAS for data management and reporting. The choice depends on the company's preferred tools and project requirements.

What are popular job titles related to Clinical R Programmer jobs in Reading, PA?

For Clinical R Programmer jobs in Reading, PA, the most frequently searched job titles are:

What cities near Reading, PA are hiring for Clinical R Programmer jobs?

Cities near Reading, PA with the most Clinical R Programmer job openings:

Clinical R Programmer jobs near you
Infographic showing various Clinical R Programmer job openings in Reading, PA as of August 2026, with employment types broken down into 2% As Needed, 78% Full Time, 14% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $129,389 per year, or $62.2 per hour.

Director - R&D DDSAI - Therapeutics Development & Supply (TDS)

Johnson and Johnson

Reading, PA • On-site

Full-time

Retirement, PTO

Posted 29 days ago

Key responsibilities

  • Lead the design, build, and optimization of scalable data product pipelines and platforms that integrate TDS data from diverse sources.

  • Partner to define and execute the TDS Data Product strategy and deliver high-quality, AI-ready data products for TDS projects.

  • Recruit, develop, and lead a team of data product engineers, ontology developers, and data scientists.

Job description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions 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:
Spring House, Pennsylvania, United States of America
Job Description:
Director- TDS Data, Data Science & AI - R&D DDSAI - Therapeutics Development & Supply (TDS)
Johnson & Johnson Innovative Medicine is recruiting for Director- TDS Data, Data Science & AI - R&D DDSAI - Therapeutics Development & Supply (TDS)
The primary location for this position is open to Spring House, PA
J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/
POSITION SUMMARY
Therapeutics Development & Supply (TDS) is the bridge between scientific discovery and clinical application, encompassing Chemistry, Manufacturing and Controls (CMC), Device development, and clinical supply chain. This organization ensures that every molecule, modality and delivery system is robustly developed, scaled, and supplied under rigorous and regulatory standards.
The R&D Data Science organization is seeking a Director, Data, Data Science and AI to lead a team of data product engineers, data scientists, and ontology developers in support of the Therapeutics Development and Supply organization. This people leader role is responsible for building and scaling the data engineering, semantic, ontology, and knowledge graph capabilities that underpin all AI/ML and analytics work across TDS. You will lead a team of 5+ individual contributors and partner with cross-functional teams across R&D, DDSAI, and J&J IT to deliver AI-ready, governed, and reusable data products for TDS.
KEY RESPONSIBILITIES
Data & Data Product Leadership
  • Partner to define and execute the TDS Data Product strategy aligned to TDS and DDSAI priorities; build a multi-year roadmap for data products and ontology that enable AI/ML and GenAI priorities for TDS
  • Define and deliver high-quality, AI-ready data products that serve TDS lighthouse projects and foundational analytics needs.
  • Lead the design, build, and optimization of scalable data product pipelines and platforms that integrate TDS data from diverse sources (ELNs, MES, LIMS, SAP, quality systems, clinical supply).
  • Deploy data quality standards, lineage tracking, and governance practices aligned with enterprise and GxP requirements.
  • Quality Safety & Compliance: Ensure data integrity, data model validation, computerized system compliance, and transparent data model interpretability in regulated environments

Semantic Layer & Ontology Strategy
  • Co-deliver the TDS-specific semantic layer strategy: ontologies, reference data, controlled vocabularies, knowledge graph development, and integration with enterprise canonical models.
  • Partner with DDSAI's Data Strategy & Products team to ensure alignment with R&D-wide data architecture and ontology governance.
  • Support TDS data scientists with scalable platforms to develop, maintain, and scale TDS ontologies, KGs and reference data

People Leadership & Cross-Functional Partnership
  • Recruit, develop, and lead a team of data product engineers, ontology developers, and data scientists.
  • Establish and maintain dotted-line operating model with DDSAI's Data Strategy & Products leadership team

QUALIFICATIONS
Required
  • Advanced degree in Computer Science, Data Science, Engineering, or a related quantitative field.
  • 10+ years of experience in data engineering, data architecture, or data science platform development, with at least 3 years in a people leadership role.
  • Deep expertise in modern data stack technologies: cloud-based architectures (AWS, Snowflake), Python, SQL, graph databases, and semantic technologies, including knowledge graphs
  • Demonstrated experience building and scaling data teams that deliver enterprise-grade data products.
  • Strong cross-functional leadership skills with the ability to influence and align across technical and business stakeholders at the Senior Director and VP level.

Preferred
  • Experience in pharmaceutical R&D, life sciences manufacturing, or regulated (GxP) environments.
  • Familiarity with ontology engineering (OWL, RDF, SKOS), knowledge graphs, and FAIR data principles.
  • Experience with MLOps platforms and practices (model registries, feature stores, automated retraining pipelines).
  • Track record of partnering with IT and data platform organizations to co-own technical architecture decisions.

Why This Role Is Unique
You will build the data and AI foundation for one of the most ambitious digital transformations in pharmaceutical R&D. Your team's work - the pipelines, semantic models, and ML infrastructure - will directly determine whether TDS can scale AI from lighthouse pilots to enterprise-grade, autonomous decision-making systems.
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.
#JRDDS
#JNJDataScience
JNJIMRND-DS
Required Skills:
Preferred Skills:
Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning
The anticipated base pay range for this position is :
$164,000.00 - $282,900.00
Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

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