Director, Pharmacometrics
USA - New Jersey - Rahway
Job Description
Director – Pharmacometrics, Quantitative Pharmacology and Pharmacometrics
The Quantitative Pharmacology and Pharmacometrics (QP2) department drives model-informed drug discovery and development (MIDD) to routinely enable efficient drug discovery/development and/or regulatory decisions. The Pharmacometrics group within QP2 brings an experienced leadership team, deep modeling expertise and state-of-the-art modeling approaches across multiple therapeutic areas and modalities to drive portfolio impact from discovery through life-cycle management. The team is externally visible and continues to be at the leading edge of building innovative state of the art tools. With MIDD as an essential component of decision-making at our company, this position offers an opportunity for the Director to drive pipeline impact and mentor/coach a talented group of pharmacometricians.
The Director-Pharmacometrics will work with scientists within QP2 by proactively evaluating and incorporating advanced pharmacometrics capabilities like comparator modeling, model-based meta-analysis (MBMA) and clinical trial simulations (CTS) into programs and thereby strengthening our pharmacometric capabilities on a continuous basis in decision making and driving pipeline impact.The Director will have the ability to independently develop and deploy comparator models across different therapeutic areas. In addition, the individual will be accountable for coaching/mentoring talented pharmacometricians with diverse backgrounds to drive portfolio impact.
Directors (Pharmacometrics) are expected to provide expertise in one or more of the pharmacometrics capabilities through the following responsibilities.
Responsible for achieving results on major program deliverables by identifying, driving the development and implementation of one or more novel quantitative approaches that seek to improve cycle time, cost/size, number of trials, clinical trial design and Go/No Go decisions
Serve as a subject matter expert and foster collaboration within QP2 and across functions to plan and execute novel analyses such as MBMA for informed decision making on programs
Mentor and/or supervise junior colleagues to perform the above duties and to develop the above capabilities
Leverage significant pharmacometric and subject matter expertise in a broad range of therapeutic areas, modalities and stages of drug discovery/development to independently provide day-to-day coaching/guidance to individual contributors
Required Experience:
(a Ph.D. or equivalent degree with at least 7 years of experience) OR (a PharmD or equivalent degree with at least 9 years of experience) OR (an MS or equivalent degree with at least 11 years of experience), where “experience” means having a record of increasing responsibility and independence in a similar role in pharmaceutical drug development or academia
Educational background in pharmacometrics, pharmaceutical sciences, mathematics, statistics/biostatistics, computational biology/chemistry, chemical/biomedical engineering, or …
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Hybrid Hybrid work Hybrid work model On-site US and Puerto Rico residents only
Benefits/PerksBonus eligibility Diverse workplace Equal opportunity employer Flexible work Flexible work arrangements Hybrid work Hybrid work model Inclusion Inclusive environment Insurance Mentoring Paid holidays Retirement benefits Separation benefits package Sick Days Teamwork Vacation
Tasks- Business intelligence
- Coaching
- Collaboration
- Communication
- Compliance
- Database design
- Data modeling
- Data visualization
- Foster collaboration
- Innovation
- Leadership
- Machine Learning
- Mentoring
- Planning
- Project management
- Relationship Management
- Serve as a subject matter expert
- Software development
Analysis Biology Biomedical Engineering Biostatistics Business Intelligence Chemical Engineering Chemistry Clinical Clinical Trial Design Clinical trial simulations Coaching Collaboration Communication Compliance Computational Computational Biology Data Database Database design Data engineering Data Modeling Data Science Data Visualization Decision making Design Development Drug Development Drug Discovery Education Engineering Inclusion Independence Influence Innovation Interdisciplinary Collaboration Interpersonal Leadership Learning Machine Learning Management Manufacturing Mathematics Mentoring Modeling Monolix Nonmem Organization Pharmaceutical Pharmaceutical Sciences Pharmacokinetics Pharmacology Pharmacometrics Planning Project Management Quantitative Pharmacology R Regulatory Relationship Management Research Science Software Development Statistics Talent Acquisition Teamwork Therapeutic Areas Verbal communication Visualization Waterfall
Experience11 years 7 years 9 years
EducationAS Biology Biomedical Engineering Biostatistics Business Chemistry Computational Biology Data Science Engineering Equivalent Equivalent degree Management Mathematics MS Pharmaceutical Sciences Pharmacology Pharmacometrics Pharm.D Ph.D. Related Field Science Statistics
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9