Senior Scientist II PKPD Modeling
Senior Scientist II PKPD Modeling
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1 Vacancy
Job Description
The AbbVie portfolio consists of several marketed products in areas including eye care immunology oncology virology and womens health as well as a pipeline containing multiple promising new molecules being studied in hundreds of clinical trials or advancing from Discovery into Development. AbbVie is a global organization with US research sites in Boston (Cambridge and Worcester MA) Chicago (North Chicago IL) and the San Francisco Bay Area (South San Francisco CA). The biotherapeutics portfolio is comprised of diverse and tailored modalities including mono and bispecific antibodies antibodydrug conjugates antibody fragments gene therapies and cellbased therapies.
The Quantitative Translational and ADME Sciences (QTAS) group is searching for a Senior Scientist to provide mechanistic and translational modeling and project support in all disease areas informing decisionmaking in 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 PK/PD or systems modeling across disease and therapeutic areas as well as provide QTAS project support enabling translation of assets from Discovery into early Development. The position requires close collaboration with Discovery and Development project teams clinical pharmacology and other stakeholders to develop and execute QTAS and PK/PD strategies necessary to facilitate the advancement of our pipeline.
Key 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 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 (B.S.) Masters (M.S.) or Doctorate (Ph.D.) in chemical mechanical or biomedical engineering; applied mathematics; quantitative pharmaceutical sciences or a related field with at least 12 (B.S.) 10 (M.S.) or 4/5 (Ph.D.) years of pharmaceutical industry experience
- Handson experience with relevant modeling software and programming languages including MATLAB/SimBiology R Python WinNonLin/Phoenix etc. is required
- 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
- Passion for data analysis solving technical problems and applying new technologies to further scientific goals and answer key scientific questions enabling informed decisionmaking
- Publication record demonstrating PK/PD or systems modeling examples is highly desired
- Highly motivated selfdriven and resultsoriented 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 relationshipbuilding 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 field is desired
- Interest in developing skills to support projects as a QTAS project representative in future is highly desired
Preferred Qualifications:
- Doctorate (Ph.D.) in chemical mechanical or biomedical engineering; applied mathematics; quantitative pharmaceutical sciences or a related field with 25 years of pharmaceutical industry experience
Key Leadership Competencies:
- Builds strong relationships with peers and crossfunctionally with partners outside of team to enable higher performance
- Learns fast grasps the essence and can change course quickly when necessary
- Raises the bar and is never satisfied with the status quo
- Creates a learning environment open to suggestions and experimentation for improvement
- Embraces the ideas of others nurtures innovation and manages innovation to reality
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 shortterm incentive programs.
This job is eligible to participate in our longterm 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 serving our community and embracing diversity and inclusion. It is AbbVies policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race color religion national origin age sex (including pregnancy) physical or mental disability medical condition genetic information gender identity or expression sexual orientation marital status status as a protected veteran or any other legally protected group status.
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Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
