Quantitative Pharmacologist

About the role

This individual is expected to plan, design, implement and analyze in-vivo and in-vitro pharmacokinetic & pharmacodynamic studies working with Clinical Pharmacology, Quantitative Pharmacology, PPKPD, Toxicology, Bioanalytical, Therapeutic Focus areas and Clinical Development / Regulatory Affairs.

Responsibilities

• Plans, designs, implements and analyzes routine Pharmacometrics studies to advance scientific knowledge, in collaboration with other team members.
• Performs analyses such as NCA, compartmental modeling, PopPK, translational modelling, disease modelling, Pop PK/PD, E-R analyses (or work closely with Research Specialist or PMx Stats Programming team) to deliver PMx results, interpretation and discussion.
• Contributes tables and figures for management presentations.
• Makes complex decisions for assigned studies, and knows when to seek guidance on decision making.
• Works (or collaborates with Research Specialist or Programming team) to prepare TFLs to support IND/CTA, PK WSs, Tox WS, Pharm WS, CSRs, DSURs, IB and other documents.
• Collaborates with Scientific Writing (and where appropriate with PMx Stats Programming team) to ensure TFLs for PMx reports are complete.

Requirements

• PhD in Pharmacology, Biophysics, Statistics, Mathematics, or related field.
• 0-2 years of experience in quantitative pharmacology.
• Understanding of advanced PMx concepts and techniques, such as advanced pharmacokinetics, advanced pharmacological principles, non-compartmental analysis methods, Exposure-Response analysis methods, translational modelling/pharmacology, Nonlinear Mixed Effects modeling, logistic regression, survival analysis, Bayesian approaches, disease modelling/QSP.
• Knowledge of advanced PMx methodologies applicable to clinical trials, such as survival analysis, stratified or covariate analyses, and strategies for handling missing data.
• Highly skilled in use of relevant software, including MS-Excel, R, R-Studio, Prism, Phoenix WinNonlin, NLME, STAN and NonMem, working in department computing environment to perform advanced PMx analyses.

Qualifications

• Ability to make complex decisions for assigned studies, and knows when to seek guidance on decision making.

Skills

• Advanced pharmacokinetics
• Advanced pharmacological principles
• Non-compartmental analysis methods
• Exposure-Response analysis methods
• Translational modelling/pharmacology
• Nonlinear Mixed Effects modeling
• Logistic regression
• Survival analysis
• Bayesian approaches
• Disease modelling/QSP
• Survival analysis
• Stratified or covariate analyses
• Strategies for handling missing data
• Use of relevant software, including MS-Excel, R, R-Studio, Prism, Phoenix WinNonlin, NLME, STAN and NonMem

Benefits

• Annual bonuses or other incentive plans
• Equity awards
• Pension or retirement benefits
• 401(k) company match
• Health and wellness programs
• Fitness centers
• Insurance benefits (e.g. medical, dental, vision, life and disability)
• Paid time off
• Family support benefits

Pay

$109,900.00 - $179,300.00 annually

Schedule

Hybrid: 4 days per week on site