Full-Time

Senior Scientist

Pharmacometrics

Posted on 2/28/2026

Deadline 3/28/26
Johnson & Johnson

Johnson & Johnson

10,001+ employees

Global healthcare company offering pharma, devices.

Compensation Overview

$109k - $174.8k/yr

+ Bonus

New Hope, PA, USA + 3 more

More locations: Bridgewater Township, NJ, USA | Ambler, PA, USA | High Wycombe, UK

Hybrid

Category
Biology & Biotech (2)
,
Requirements
  • A minimum of a Master's degree in Pharmaceutical Sciences, Clinical Pharmacology, Chemical/Biomedical Engineering or a related field with 5+ years of pharmaceutical development experience OR a PhD 2+ years of pharmaceutical development experience is required.
  • Expertise with R programming language and R function creation is required.
  • A fundamental understanding of clinical drug development and PK & PK/PD population PK modeling concepts is required.
  • Good understanding of regulatory requirements and eCTD is required.
  • Data-handling skills and solid understanding of clinical database structures such as SDTM and ADAM is required.
  • Excellent written and oral communication skills with strong attention to detail are required.
  • Ability to build and improve working relationships inside and outside the department; ability and willingness to work in a cross-functional team environment (building strategic working relationships) are required.
  • Ability to collaborate in a diverse global environment is required.
  • Self-motivation with the ability to work independently with minimal direction is required.
Responsibilities
  • Preparing R programming scripts to generate non-linear mixed effect modelling (NONMEM) analysis input dataset(s) for PK, PK/PD or Exposure Response analysis, based on requests from PM leader or Modeling leader. During dataset generation, PM support also modifies the variable definition file (PM leader or CPP leader is the main author of this document) which clearly defines each variable within this dataset with any additional information as they see fit. The NONMEM input dataset(s) created could be for interim or final analysis. The source used could be interim (uncleaned) or final Study Data Tabulation Model/Analysis Data Model (SDTM/ADAM) datasets or in sources in other formats, in some cases extensive data cleaning and complex calculations are needed.
  • Generating Analysis Dataset Non-Compartmental Analysis (ADNCA) input datasets and associated metadata.
  • Upon request, QC NONMEM or ADNCA input dataset(s) generated by another PM support colleague. Log which QC script is used, which subjects were checked per study, what other aspects were checked within the dataset, the findings of the QC and the follow-up actions of those findings in a QC document.
  • Generating e-submission package for NONMEM (or other modelling type) analysis. In general, the package includes NONMEM input datasets, NONMEM control file, output parameter files, output table files and other files, in addition to supporting documents such as define and var-names-descr files. PM support renames the files provided by PM leader or CPP leader, so they fit the naming convention requirements for e-submission package if needed, converts these files into the appropriate formats, and places them into the right folder structure then links them to the define and var-names-descr files. PM support works closely with EPOD team to ensure the e-submission package has the right structure, accurate formats and being placed in the right assembly server directory.
  • Interacting with other departments (including but not limited to Data Management, Clinical & Statistical Programming, bio-analytical teams, Regulatory) and external Vendors to communicate the needs of CPP in data collection, data formatting, data representation and cross departmental trainings if needed. Promote better understanding across different departments.
  • Piloting the generation of the first draft AI Authored data specification.
  • Performing pharmacometric Analysis QC activities in support of the PM Leader.
  • Improving CPP internal processes in dataset creation, dataset QC (e.g. a standard QC R script with a checklist), pharmacometric analysis QC procedures and e-submission package preparation; move forward existing automatizations ensuring high quality & speed.
  • Presenting (cross-departmental) process improvements within/outside the department.
  • Carrying out functional responsibilities in accordance with applicable SOPs and Regulatory requirements.
Desired Qualifications
  • R Shiny programming experience is strongly preferred.
  • Knowledge of principles of non-linear mixed effect modelling is preferred.
  • Prior experience with pharmacometric analysis QC would be an asset.
  • Experience within oncology and immunology is an asset.
  • Prior use of AI prompting to generate R code & functions would be an asset.

Johnson & Johnson operates in three main areas—pharmaceuticals, medical devices, and consumer health products—serving consumers, healthcare professionals, and institutions worldwide. It develops prescription medicines, sells surgical and vision care devices, and offers over-the-counter and personal care products, funded by direct sales, partnerships, and distribution agreements, with heavy investment in research and development. The company differentiates itself by combining three complementary businesses under one umbrella and maintaining a global footprint with an emphasis on science, innovation, and inclusive culture. Its goal is to help people live healthier lives by delivering reliable, high-quality healthcare products and solutions that improve patient outcomes.

Company Size

10,001+

Company Stage

IPO

Headquarters

New Brunswick, New Jersey

Founded

1886

Simplify Jobs

Simplify's Take

What believers are saying

  • CARVYKTI, DARZALEX, and RYBREVANT drive oncology growth despite STELARA erosion.
  • Abu Dhabi’s intelligent OR network accelerates surgical AI data generation and validation.
  • Atraverse and New Jersey Innovation Hub strengthen J&J’s cardiac access and startup sourcing.

What critics are saying

  • STELARA biosimilar erosion keeps crushing immunology revenue and pressures 2026 guidance.
  • Intuitive Surgical and Boston Scientific can outbundle J&J’s open surgery software stack.
  • Rapid MedTech innovation cycles make Shockwave and VARIPULSE vulnerable to faster rival iteration.

What makes Johnson & Johnson unique

  • J&J spans Innovative Medicine and MedTech across oncology, immunology, and surgery.
  • Polyphonic links AWS and NVIDIA into an open surgical intelligence ecosystem.
  • Shockwave and VARIPULSE give J&J leading platforms in coronary and electrophysiology procedures.

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Benefits

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Remote Work Options

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Nanobiotix has transferred full operational and financial responsibility for its NBTXR3 radioenhancer programme to Johnson & Johnson, with Phase III head-and-neck results expected in H1 2027 and Phase II lung cancer data anticipated in early 2027. The company is pivoting towards its Curadigm nanoprimer platform, filing four patents, starting GMP manufacturing and signing over 20 material transfer agreements with partners. Additional Curadigm data is expected before summer's end. An amended Janssen licence removing most Phase III funding obligations, combined with a royalty financing of up to $71 million, extends Nanobiotix's cash runway into early 2028. The company reported EUR 32.6 million revenue in 2025, reduced R&D spending to EUR 23.1 million, and EUR 52.8 million cash at year-end.

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