Principal Scientist in Pharmacometrics developing modeling and simulation activities for drug research at Johnson & Johnson. Collaborating across departments for data analysis and quality control processes.
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.
Generating Analysis Dataset Non-Compartmental Analysis (ADNCA) input datasets and associated Data Transfer Agreements and metadata.
QC NONMEM or ADNCA input dataset(s) generated by another PM support colleague.
Generating e-submission package for NONMEM analysis, ensuring correct structure and format.
Interacting with other departments and external vendors for data collection and training.
Piloting generation of the first draft AI Authored data specification.
Driving internal process improvements in dataset creation and QC procedures.
Requirements
A minimum of a Bachelor’s degree in Pharmaceutical Sciences, Clinical Pharmacology, Chemical/Biomedical Engineering or a related field with 8+ years of pharmaceutical development experience; or a Master's degree with 6+ years of pharmaceutical development experience; or a PhD with 4+ 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.
Good understanding of AI driven approaches within data programming 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) is required.
Ability to collaborate in a diverse global environment is required.
Self-motivation with the ability to work independently with minimal direction is required.
Preferred: R Shiny programming experience is preferred.
Prior knowledge with ADNCA and ADPPK dataset standards is preferred.
Knowledge of principles of non-linear mixed effect modeling is preferred.
Prior experience with pharmacometric analysis QC would be an asset.
Experience within oncology and immunology is an asset.
Benefits
medical, dental, vision, life insurance, short- and long-term disability
business accident insurance
group legal insurance
consolidated retirement plan (pension)
savings plan (401(k))
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
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