Postdoctoral Scholar, AI Evaluation & Standards

Johnson & Johnson Innovative Medicine; Madrid; Presencial; EUR 44.000 - 70.000; Jornada completa

Descripción de la vacante

Johnson & Johnson Innovative Medicine seeks a postdoctoral researcher to design methods testing GenAI tools for accuracy, evidence grounding, traceability, and usability in pharmaceutical R&D. You will collaborate with scientific, clinical, regulatory, and data science teams to establish evaluation benchmarks and release criteria.

The role focuses on developing criteria, datasets, and annotation protocols, translating expert judgment into measurable outcomes, and advocating for responsible AI

Formación

• Strong knowledge of biomedical science and pharmaceutical R&D.
• Experience translating expert judgment into criteria, rubrics, datasets, protocols, or measurable outcomes.
• Experience designing or applying evaluation methods, benchmark datasets, annotation protocols, validation studies, quality reviews, or assessment frameworks.
• Interest in testing GenAI systems, including LLMs, RAG, and AI agents.
• Proficiency in Python and common data science or machine learning tools.
• Clear written and verbal communication skills.

Responsabilidades

• Design evaluation frameworks, rubrics, and criteria for GenAI tools used across pharmaceutical R&D.
• Develop therapeutic-area-specific criteria with business and scientific teams to reflect domain and use-case quality needs.
• Build benchmark datasets, reference answer sets, annotation guides, and evaluation datasets.
• Run expert reviews with scientific, clinical, regulatory, medical, data science, and engineering teams.
• Test LLM, RAG, and agent performance, including accuracy, source grounding, retrieval quality, citation fidelity, task completion, robustness, safety, and usability.
• Analyze failure patterns such as unsupported claims, incorrect reasoning, poor evidence use, missing uncertainty, weak traceability, or failure to follow instructions.
• Translate evaluation findings into improvements in prompts, retrieval methods, agent workflows, tools, and user experience.
• Help define release criteria for systems moving from prototype to limited release, expanded use, or product support.
• Review emerging evaluation methods and adapt useful approaches for pharmaceutical R&D.
• Document methods, findings, and recommendations so teams can apply consistent evaluation practices.
• Design and develop agentic judge methods to evaluate GenAI outputs against defined criteria, flag evidence gaps or unsupported claims, and support expert review workflows.

Conocimientos

Biomedical research

Python

Data science

Benchmarking

Rubric design

Technical communication

Educación

PhD or equivalent in biomedical science, computational biology, AI/ML, data science, clinical research, regulatory science, biostatistics, pharmaceutical sciences, or related field

Herramientas

LLM APIs

Embeddings

Vector databases

Prompt engineering

Agent frameworks

AI evaluation tools

Descripción del empleo

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

Career Programs

Job Sub Function

Post Doc – Data Analytics & Computational Sciences

Job Category

Career Program

All Job Posting Locations

Barcelona, Spain, Beerse, Antwerp, Belgium, Madrid, Spain, Raritan, New Jersey, United States of America, Titusville, New Jersey, United States of America

Job Description

At J&J we are developing Generative AI solutions to support pharmaceutical R&D, including literature review, evidence synthesis, document Q&A, therapeutic area knowledge search, translational science workflows, and R&D decision support.

These systems need to be tested before teams use them in scientific workflows. In pharmaceutical R&D, a useful AI response depends on the question, user, source material, therapeutic area, and risk of error.

We are looking for a postdoctoral researcher to help design methods that test whether GenAI tools produce answers that are accurate, evidence-grounded, traceable, usable, and appropriate for the intended task.

The role reports to the Associate Director, Generative AI Evaluation & Quality Standards. The team defines how J&J Innovative Medicine evaluates GenAI systems before use and helps determine when they are ready for release, expansion, or improvement.

Key Responsibilities

• Design evaluation frameworks, rubrics, and criteria for GenAI tools used across pharmaceutical R&D.
• Develop therapeutic-area-specific criteria with business and scientific teams to reflect domain and use-case quality needs.
• Build benchmark datasets, reference answer sets, annotation guides, and evaluation datasets.
• Run expert reviews with scientific, clinical, regulatory, medical, data science, and engineering teams.
• Test LLM, RAG, and agent performance, including accuracy, source grounding, retrieval quality, citation fidelity, task completion, robustness, safety, and usability.
• Analyze failure patterns such as unsupported claims, incorrect reasoning, poor evidence use, missing uncertainty, weak traceability, or failure to follow instructions.
• Translate evaluation findings into improvements in prompts, retrieval methods, agent workflows, tools, and user experience.
• Help define release criteria for systems moving from prototype to limited release, expanded use, or product support.
• Review emerging evaluation methods and adapt useful approaches for pharmaceutical R&D.
• Document methods, findings, and recommendations so teams can apply consistent evaluation practices.
• Design and develop agentic judge methods to evaluate GenAI outputs against defined criteria, flag evidence gaps or unsupported claims, and support expert review workflows.

Qualifications

Education

• PhD or equivalent research experience in biomedical science, computational biology, bioinformatics, AI/ML, data science, clinical research, regulatory science, biostatistics, pharmaceutical sciences, or a related field.

Required

Experience and skills

• Understanding of biomedical science, pharmaceutical R&D, therapeutic area science, translational science, clinical development, regulatory science, biomedical informatics, data science, or related areas.
• Experience translating expert judgment into criteria, rubrics, datasets, protocols, or measurable outcomes.
• Experience designing or applying evaluation methods, benchmark datasets, annotation protocols, validation studies, quality reviews, or assessment frameworks.
• Interest in testing GenAI systems, including LLMs, RAG, and AI agents.
• Proficiency in Python and common data science or machine learning tools.
• Ability to analyze model outputs, compare performance, identify failure patterns, and recommend improvements.
• Clear written and verbal communication skills.

Preferred

• Experience with LLM APIs, embeddings, vector databases, prompt engineering, agent frameworks, or AI evaluation tools.
• Experience evaluating retrieval quality, generated answers, multi-step workflows, tool use, scientific reasoning, citation quality, or evidence-grounded outputs.
• Experience designing expert review workflows, annotation instructions, adjudication processes, or inter-rater reliability analyses.
• Domain knowledge in one or more biomedical or therapeutic areas.
• Familiarity with biomedical data standards, structured scientific or clinical data, ontologies, knowledge graphs, CDISC, FHIR, or related frameworks.
• Publications or applied research in AI evaluation, NLP, biomedical informatics, machine learning, data science, computational biology, bioinformatics, or a related field.

Required Skills

GenAI evaluation, Python, data science, benchmarking, rubric design, biomedical research, technical communication.

Preferred Skills

RAG evaluation, agent evaluation, biomedical informatics, expert review, annotation protocols, therapeutic area expertise, responsible AI.

The Anticipated Base Pay Range For This Position Is

€43,600.00 - €70,150.00

Benefits

In addition to base pay, we offer the following benefits* an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers.

• This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.