Senior Manager, Pharmacometrics, Data Sciences

Data ScientistData ScientistFull TimeRemoteTeam 11-50H1B No SponsorCompany SiteLinkedIn

Location

New Jersey

Posted

48 days ago

Salary

Not specified

Postgraduate Degree3 yrs expEnglish

Job Description

• Develop and validate pharmacometric models to support dose selection, trial design, and decision-making • Analyze and interpret complex pharmacokinetic (PK) and pharmacodynamic (PD) data • Author and review technical protocols, analysis plan, reports, and scientific publications • Review regulatory documents in area of expertise • Propose innovative quantitative pharmacology approaches and optimize modeling processes • Collaborate with clinical pharmacology, biostatistics, regulatory, and clinical development teams • Communicate modeling results and their implications to cross-functional teams and senior management • Oversee multiple pharmacometric projects, ensuring timely delivery of high-quality outputs • Manage project oversight, quality, and budget control

Job Requirements

  • Pharm D or Ph.D. in Pharmaceutical Sciences or Biomedical Engineering, with specialization in pharmacometrics
  • A Master’s degree with substantial relevant experience will also be considered
  • 3-5 years of experience in pharmacometrics within the pharmaceutical or biotechnology industry
  • Proficiency in pharmacometric software (essentially NONMEM and R, PKanalyx or Phoenix Winonlin)
  • Knowledge of PKSim, Monolix, MATLAB is a plus
  • Strong analytical and problem-solving skills
  • Good written and verbal communication skills
  • Organizational and project management skills
  • Knowledge of the pharmaceutical industry, including preclinical and early clinical development and the underlying pharmacometrics issues
  • Knowledge of English

Benefits

  • Health insurance
  • Dental care
  • Vision care
  • Backup dependent care
  • Adoption assistance
  • Infertility coverage
  • Family building support
  • Behavioral health solutions
  • Paid parental leave
  • Paid caregiver leave
  • Professional development resources
  • Training programs
  • Mentorship programs
  • Employee resource groups
  • Volunteer activities

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