Johnson & Johnson is hiring for the position of Scientist, Pharmacometrics Support in Penjerla, Telangana, India. The role is part of Clinical Pharmacology & Pharmacometrics (CPP) and focuses on technical support, data assembly, quality control, submission-support documentation, automation, and AI-enabled workflow improvements.
The position requires a Bachelor’s degree (or equivalent) in a scientific discipline and 1–2 years of pharmaceutical industry experience, preferably within Clinical Pharmacology, Pharmacometrics, or data analysis support roles.
Job Overview
| Particulars | Details |
|---|---|
| Company | Johnson & Johnson |
| Position | Scientist, Pharmacometrics Support |
| Job Function | Discovery & Pre-Clinical/Clinical Development |
| Job Sub Function | Pharmacokinetics & Pharmacometrics |
| Job Category | Scientific/Technology |
| Location | Penjerla, Telangana, India |
| Work Mode | Hybrid Work |
| Employment Type | Full Time |
| Experience | 1–2 years |
| Job Requisition ID | R-094059 |
| Application End Date | August 26, 2026 |
| Travel | Approximately 5% |
About the Role
The Scientist, Pharmacometrics Support provides technical support to the Clinical Pharmacology & Pharmacometrics team while exploring automation opportunities for day-to-day deliverables.
The role focuses on improving operational efficiency across data assembly, dataset quality control, documentation readiness, and submission-support document deliverables. It also contributes to workflow modernization through automation and AI-enabled assistance to improve the efficiency, consistency, and traceability of basic data structures, documentation, and quality checks.
Roles & Responsibilities
- Standardize programming R scripts and functions to generate ADNCA and NONMEM input datasets from SDTM, ADaM, or other source formats using GenAI.
- Create a default routine to generate variable definition documentation supporting submission package creation.
- Perform basic Pharmacometrics QC activities on AI-generated code.
- Document 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 required.
- Follow applicable CPP processes, SOPs, and regulatory instructions.
Qualifications
- 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.
- Fluent in English, with local language requirements as applicable.
Required Skills
Technical Knowledge and Skills
- Proficiency in R for data manipulation is preferred.
- Basic knowledge of SDTM and ADaM clinical data structures.
- Basic understanding of non-linear mixed-effects modeling.
- Basic understanding of clinical PK and PK/PD concepts.
- Basic understanding of clinical drug development processes.
Non-Technical Competencies
- 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.
Preferred Skills Listed in the Job Description
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, and Technologically Savvy.
How to Apply
