J&J Scientist Pharmacometrics Support

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Johnson & Johnson Recruitment – Scientist Pharmacometrics Support

Johnson & Johnson (J&J) is hiring a Scientist Pharmacometrics Support professional for its Clinical Pharmacology & Pharmacometrics (CPP) team in Hyderabad, India. This opportunity is suitable for candidates with a scientific degree and 1–3 years of pharmaceutical industry experience. The role focuses on pharmacokinetic (PK) and pharmacodynamic (PD) data preparation, dataset quality control, modelling support, and regulatory e-submission activities. Candidates with basic R programming skills and an understanding of clinical pharmacology, SDTM, ADaM, and clinical drug development can explore this opportunity.

Company Overview

Johnson & Johnson is a global healthcare company operating across Innovative Medicine and MedTech. Its research and development teams work to discover and develop treatments, improve patient outcomes, and advance healthcare innovation.

The Clinical Pharmacology & Pharmacometrics team supports drug development through pharmacokinetic and pharmacodynamic modelling, simulation, data analysis, and regulatory submission activities.

Job Details

Particulars Details
Company Johnson & Johnson
Job Title Scientist Pharmacometrics Support
Job ID R-105479
Department Clinical Pharmacology & Pharmacometrics
Job Function Discovery & Pre-Clinical/Clinical Development
Location Hyderabad, India
Work Arrangement Hybrid
Experience 1–3 years
Date Posted 16 October 2026
Travel Requirement Approximately 5%

Job Role & Responsibilities

The selected candidate will provide technical and operational support to Clinical Pharmacology and Pharmacometrics leaders across therapeutic areas. The role involves preparing analysis-ready datasets, performing quality checks, and supporting global regulatory submissions under the oversight of a senior Pharmacometrics Support Programmer.

Key responsibilities include:

  • Prepare analysis-ready datasets for pharmacokinetic (PK) and/or pharmacodynamic (PD) analyses following interim and final database releases.

  • Support datasets used for ADNCA and NONMEM analyses.

  • Perform basic pharmacometrics analysis quality control (QC) activities.

  • Document QC checks, findings, and follow-up actions.

  • Support global regulatory submissions by preparing population PK/PD and Exposure-Response e-submission packages.

  • Prepare datasets, control files, outputs, tables, and supporting documentation for regulatory submissions.

  • Assist with process improvement initiatives, software validation, and technology enhancements.

  • Follow applicable standard operating procedures (SOPs), regulatory requirements, and Johnson & Johnson Credo principles.

  • Collaborate with CPP scientists, clinical pharmacology leaders, data management, clinical and statistical programming, bioanalysis, regulatory, and publishing teams.

  • Coordinate with external stakeholders and pharmacokinetics office vendors when required.

Eligibility & Qualifications

Candidates must have a bachelor’s degree or equivalent qualification in a scientific discipline.

Relevant qualifications may include B.Pharm, M.Pharm, Pharm.D, B.Sc. Life Sciences, M.Sc. Life Sciences, B.Sc. Biotechnology, M.Sc. Biotechnology, B.Sc. Chemistry, M.Sc. Chemistry, or related scientific qualifications. These are examples of potentially relevant courses; the official posting does not provide an exhaustive list of accepted degrees.

Experience Requirements

  • 1–3 years of pharmaceutical industry experience.

  • Experience in clinical pharmacology, pharmacometrics, or data analysis support roles is preferred.

  • Understanding of clinical drug development processes.

  • Familiarity with clinical data structures and pharmacokinetic analysis requirements.

Technical Skills Required

  • R programming: Basic proficiency in R for data manipulation.

  • Clinical data standards: Basic understanding of SDTM and ADaM data structures.

  • Pharmacokinetic analysis: Basic understanding of ADNCA and NONMEM input dataset requirements.

  • Pharmacometric modelling: Understanding of non-linear mixed-effects modelling.

  • Clinical pharmacology: Knowledge of clinical PK and PK/PD concepts.

  • Regulatory submissions: Ability to support preparation of datasets and documentation for global e-submissions.

Non-Technical Skills

  • Clear written and verbal communication skills.

  • Strong attention to detail and a quality-focused mindset.

  • Ability to work effectively with cross-functional teams.

  • Good planning, prioritization, and multitasking skills.

  • Accountability for timely completion of assigned tasks.

  • Willingness to learn and contribute to process improvement.

  • Cultural awareness and the ability to collaborate with global teams.

  • Ability to work independently under appropriate oversight.

  • Fluency in English; local language requirements may apply.

Work Location & Arrangement

The position is based in Hyderabad, India, and is listed as a hybrid-work opportunity. The role involves collaboration with local and global teams and may require approximately 5% travel.

Career Opportunity in Pharmacometrics

This position provides an opportunity to develop expertise in clinical pharmacology, pharmacokinetic and pharmacodynamic data analysis, and regulatory submission support. It may suit early-career professionals interested in pharmacometrics, clinical data programming, pharmacokinetic modelling, and pharmaceutical research and development.

How to Apply

Interested candidates can review the full job description and submit their applications through the official Johnson & Johnson careers portal.

Apply here: Scientist Pharmacometrics Support – Hyderabad | Johnson & Johnson

Review the official listing for the latest application status and requirements before applying.

Job Summary

Category Details
Company Johnson & Johnson
Vacancies (position titles) Scientist Pharmacometrics Support
Required Education Bachelor’s degree or equivalent in a scientific discipline
Experience 1–3 years in the pharmaceutical industry; clinical pharmacology, pharmacometrics, or data analysis support experience preferred