Scientist, Pharmacometrics Support
About this opportunity
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:
Discovery & Pre-Clinical/Clinical Development
Job Sub Function:
Pharmacokinetics & Pharmacometrics
Job Category:
Scientific/Technology
All Job Posting Locations:
PENJERLA, Telangana, India
Job Description:
Clinical Pharmacology & Pharmacometrics (CPP)
Scientist Pharmacometrics Support - Hyderabad
(*Title may vary based on Region or Country requirements)
Position Summary:
The Scientist, Pharmacometrics Support provides technical support to CPP exploring automations of day-to-day deliverables. The role focuses on operational efficiencies to speed up data assembly, dataset quality control, documentation readiness, and submission-support document deliverables, ensuring timely, compliant, high-quality outputs aligned with internal standards and global regulatory expectations.
In addition, the role contributes to workflow modernization, including the application of automation and AI-enabled assistance to improve the efficiency, consistency, and traceability of basic data structures, documentation, and quality checks.
Principal Responsibilities:
Standardize programming R scripts & functions to generate ADNCA & NONMEM input datasets from SDTM, ADaM, or other source formats, using GenAI.
Create a default routine to generate a variable definition documentation to support submission package creation.
Perform basic Pharmacometrics QC activities on AI generated code, including documentation of QC checks, findings, and follow‑up actions.
Contribute suggestions for process improvements, including automation and standardization of scripts and tools.
Support updates to SOPs, job aids, templates, and training materials as needed.
Follow applicable CPP processes, SOPs, and regulatory instructions.
Principal Relationships:
Internal: CPP Clinical Pharmacology & Pharmacometrics Leaders, CPP Scientists.
External: not applicable.
Education and Experience Requirements:
Bachelor’s degree (or equivalent) in a scientific discipline
1-2 years of experience in the pharmaceutical industry, preferably within Clinical Pharmacology, Pharmacometrics, or data analysis support roles
Minimum Technical Knowledge and Skills
Proficiency in R for data manipulation is preffered
basic knowledge of SDTM and ADaM clinical data structures
basic understanding of: Non‑linear mixed‑effects modeling
Clinical PK and PK/PD concepts
Clinical drug development processes
Minimum Non‑Technical Competencies and Skills
Clear written and verbal communication skills
Strong attention to detail and quality mindset
Accountability for timely delivery of assigned tasks
Continuous learning mindset and openness to process improvement
Ability to work independently with minimal supervision
Other:
Language requirements: fluent in English, local language requirements as applicable.
Travel: Approximately 5%
Required Skills:
Preferred Skills:
Analytical Reasoning, Clinical Data Management, Clinical Operations, Clinical Pharmacology, Data Savvy, Detail-Oriented, Drug Discovery Development, Execution Focus, Pharmacokinetic Modeling, Pharmacokinetics, Pharmacometrics, Regulatory Environment, Relationship Building, Report Writing, Scientific Research, Study Management, Technologically Savvy
Job details
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