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Pharma R Jobs in Pennsylvania (NOW HIRING)

... pharma, CRO, academic). * Willingness to engage with clients to understand and research problems ... Experience in SAS and/ or R statistical software packages. * Experience in study design and ...

Biostatistician

West Chester, PA · On-site

$70 - $98/hr

... R. 5. Min 4 yrs experience with SDTM and ADaM data standards. 6. Min 4 yrs experience with Real World Data (RWD) and RWE methodologies, such as propensity score analysis, causal inference. 7. Min 4 ...

Experience in the pharma industry, including knowledge of FDA and GxP compliance for plant operations. * Experience with EAM (Enterprise Asset Management) and ISO 55000 standards. * Knowledge of ...

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Pharma R information

What is the difference between Pharma R vs Pharma Associate?

AspectPharma RPharma Associate
Required CredentialsBachelor's degree in pharmacy, chemistry, or related field; licensing may be requiredAssociate degree or diploma in pharmacy technology or related field
Work EnvironmentResearch labs, pharmaceutical companies, clinical trial sitesRetail pharmacies, hospital pharmacies, pharmaceutical manufacturing facilities
Employer & Industry UsagePrimarily in research and development within pharma companiesInvolved in dispensing, patient interaction, and pharmacy operations

Pharma R roles focus on research, development, and clinical trials, requiring specialized scientific credentials. Pharma Associates typically work in pharmacy settings, handling medication dispensing and patient care. While both roles are essential in the pharmaceutical industry, Pharma R is research-oriented, whereas Pharma Associate is more operational and patient-facing.

What are some common challenges faced by Pharma R professionals when working cross-functionally with other departments?

Pharma R professionals often collaborate closely with teams such as clinical research, regulatory affairs, and marketing. A common challenge is aligning priorities and timelines across departments with different objectives and regulatory requirements. Effective communication and proactive planning are essential to ensure that scientific data, compliance standards, and commercial strategies are integrated smoothly. Building strong relationships and understanding each team's unique constraints can help navigate these complexities and lead to more successful project outcomes.

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

To thrive as a Pharma R (Pharmaceutical Representative), you need a solid understanding of pharmaceutical products, medical terminology, and sales principles, often supported by a bachelor's degree in life sciences or a related field. Familiarity with CRM software, data analysis tools, and regulatory compliance systems is typically required. Strong interpersonal, negotiation, and presentation skills help build relationships with healthcare professionals and stand out in the role. These capabilities are vital for effectively promoting pharmaceutical products, ensuring regulatory adherence, and achieving sales targets in a competitive industry.

What are Pharma R professionals?

Pharma R professionals are individuals who work in pharmaceutical research and development (R&D). They are responsible for discovering, developing, and testing new drugs and therapies to ensure they are safe and effective for patients. Their roles may include designing experiments, conducting clinical trials, analyzing data, and complying with regulatory standards. Pharma R professionals often work with interdisciplinary teams, including scientists, clinicians, and regulatory experts. Their work is crucial in bringing new medicines to market and advancing medical science.
What are popular job titles related to Pharma R jobs in Pennsylvania? For Pharma R jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Pharma R jobs in Pennsylvania look for? The top searched job categories for Pharma R jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Pharma R jobs? Cities in Pennsylvania with the most Pharma R job openings:
Principal Data Scientist - DDSAI - Agentic Lab Automation

Principal Data Scientist - DDSAI - Agentic Lab Automation

Johnson & Johnson

Spring House, PA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Johnson & Johnson rating

8.2

Company rating: 8.2 out of 10

Based on 110 frontline employees who took The Breakroom Quiz

29th of 74 rated pharmaceutical


Job description

Job Summary:
Johnson & Johnson is a leader in healthcare innovation, committed to improving health worldwide. They are seeking a Principal Data Scientist to build next-generation drug discovery labs, integrating AI and lab automation to enhance the drug development process.
Responsibilities:
• Lab Orchestration & Integration
• Translate scientific priorities into automation and AI roadmaps, connecting tactical platform work to long-term discovery goals.
• Design, configure, integrate, and continuously improve the AI execution of robotic lab systems that support high-throughput data generation.
• Build or oversee the development of real-time pipelines connecting automation software, data stores, models, and compute environments.
• Partner with IT and platform teams to implement resilient APIs, observability, versioning, and workflow orchestration for end-to-end discovery processes.
• AI-Driven Scientific Learning
• Design and implement laboratory workflows and experiments optimized for AI-driven learning, not just throughput or task automation.
• Collaborate with AI/ML scientists to enable closed-loop feedback between each step in the DMTA process, ensuring experimental outputs improve downstream models and decision-making.
• Identify opportunities to apply agentic AI and intelligent automation to compress cycle time, reduce manual intervention, and improve reproducibility.
• Data, Semantics & AI Readiness
• Ensure data generated through automated workflows is high-quality, traceable, interoperable, and AI-ready, with strong metadata, provenance, lineage, and governance practices.
• Collaborate with data engineers, ontology/knowledge engineers, and platform teams to standardize assay outputs, semantically enrich datasets, and support discoverability across modalities.
• Contribute to architectures that support vectorized, semantically searchable, and reusable scientific data assets across discovery workflows.
• Cross-Functional Leadership & External Engagement
• Serve as a senior technical partner across Discovery, Data Science, and IT to align scientific goals with Agentic orchestration.
• Help quickly shape standards, priorities, and new ways of working.
• Evaluate emerging vendors, tools, and external capabilities relevant to robotics, AI orchestration, and AI-enabled lab execution.
Qualifications:
Required:
• Ph.D. (or equivalent advanced degree) in Engineering, Automation, Robotics, Computer Science, Biomedical Engineering, Chemical Engineering, Systems Engineering, Computational Biology, or a related field.
• Significant industry experience building, integrating, or scaling laboratory automation, AI-enabled experimentation platforms, or autonomous workflow systems in pharma, biotech, advanced R&D, or adjacent technical environments.
• Demonstrated expertise in one or more of the following: robotic lab systems, scientific workflow orchestration, laboratory informatics, experimental platform integration, automation software, or cyber-physical systems for R&D.
• Experience designing or supporting real-time or near-real-time data pipelines and integrating heterogeneous scientific data and instrument outputs.
• Ability to work directly with experimental scientists and translate scientific objectives into practical, scalable technical solutions.
• Strong communication, problem-solving, and stakeholder management skills, with comfort operating in ambiguity and shaping new capabilities at scale.
Preferred:
• Experience applying agentic AI, AI/ML, optimization, or intelligent decision systems to scientific or laboratory workflows.
• Familiarity with MLOps/DevOps, workflow engines, and production-grade monitoring/observability.
• Understanding of FAIR data, ontologies, semantic models, lineage/provenance, or AI-ready scientific data standards.
• Experience in drug discovery domains such as small molecules, biologics, peptide discovery, high-throughput experimentation, imaging, or human-relevant model systems.
Company:
At Johnson & Johnson, we believe health is everything. Founded in 1886, the company is headquartered in New Brunswick, NJ, US, , with a team of 10001+ employees. The company is currently Late Stage.

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