drjobs Senior Scientist II, PK/PD Modeling

Senior Scientist II, PK/PD Modeling

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1 Vacancy
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Job Location drjobs

North Chicago, IL - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

The Quantitative Translational and ADME Sciences (QTAS) group is searching for a Senior Scientist to provide mechanistic and translational modeling in all disease areas informing decision-making for both small and large molecule projects from discovery through the early stages of clinical development. The candidate will establish innovative translational modeling approaches such as mechanistic pharmacokinetic/pharmacodynamic (PK/PD) and toxicokinetic/toxicodynamic (TK/TD) or systems modeling across disease and therapeutic areas. The ideal candidate will have experience modeling multidimensional datasets to define toxicological tipping points and inform therapeutic index. The position requires close collaboration with Discovery and Development project teams clinical pharmacology and preclinical safety (PCS) to develop and execute QTAS and PK/PD strategies necessary to facilitate the advancement of our pipeline.

Purpose

Conceive and execute novel scientific research or development that achieves projects and area goals. Generate new scientific proposals and lead those efforts. Investigate identify develop and optimize new methods and techniques. Act as a lead scientist in his/her area of expertise and critically evaluate relevant scientific and regulatory advances and integrate this knowledge into research or development programs.

Responsibilities

  • Develop and implement innovative quantitative analyses and strategies for translational modeling across Discovery and Development projects
  • Liaise with Discovery biology pharmacology toxicology biomarker QTAS and clinical scientists to generate data and knowledge supporting the generation and implementation of translational models
  • Establish and maintain effective collaborations with key peer and team stakeholders within QTAS Discovery Preclinical Safety and Clinical to facilitate knowledge and data integration for target prioritization biomarker selection candidate selection guidance in (pre)clinical study design human dose prediction and calculation of therapeutic index
  • Effectively communicate on strategies related to drug metabolism and pharmacokinetics (DMPK) and translational modeling and simulation 
  • Maintain awareness of emerging literature and science in computational approaches and applications

Qualifications :

  • Bachelors Degree or equivalent education and typically 12 or more years of experience Masters Degree or equivalent education and typically 10 or more years of experience PhD and typically 4 or more years of experience.
  • Possess thorough theoretical and practical understanding of own scientific discipline.
  • Effective writer and communicator of research or other regulatory materials.
  • Hands-on experience with relevant modeling software and programming languages including MATLAB/SimBiology R Python WinNonLin/Phoenix etc. 
  • Understanding of small or large molecule drug modalities and relevant analytical methods for measuring drug and biomarker levels in preclinical and clinical study samples is highly desired
  • Experience with interpretation and modeling of complex multidimensional datasets for toxicological tipping point analysis and exposure-response analysis
  • Passion for data analysis solving technical problems and applying new technologies to further scientific goals and answer key scientific questions enabling informed decision-making
  • Publication record demonstrating PK/PD TK/TD or systems modeling examples is highly desired
  • Highly-motivated self-driven and results-oriented person with excellent communication and presentation skills capable of both leading and being lead
  • High degree of flexibility in adapting to different projects and personalities as well as excellent networking and relationship-building skills (both internal and external) required
  • Must have strong communication skills and the ability to effectively communicate with both internal and external stakeholders and to audiences of diverse backgrounds
  • Prior experience in an experimental in vitro or in vivo biology or toxicology field is desired
  • Interest in developing skills to support projects as a QTAS project representative in future is highly desired


Additional Information :

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: 

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location and we may ultimately pay more or less than the posted range. This range may be modified in the future.

  • We offer a comprehensive package of benefits including paid time off (vacation holidays sick) medical/dental/vision insurance and 401(k) to eligible employees.

  • This job is eligible to participate in our short-term incentive programs. 

Note: No amount of pay is considered to be wages or compensation until such amount is earned vested and determinable. The amount and availability of any bonus commission incentive benefits or any other form of compensation and benefits that are allocable to a particular employee remains in the Companys sole and absolute discretion unless and until paid and may be modified at the Companys sole and absolute discretion consistent with applicable law. 

AbbVie is an equal opportunity employer and is committed to operating with integrity driving innovation transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. 

US & Puerto Rico only - to learn more visit  & Puerto Rico applicants seeking a reasonable accommodation click here to learn more:

Work :

No


Employment Type :

Full-time

Employment Type

Full-time

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