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Senior Scientist II Modeling and Simulation
Senior Scientist II Modeling and SimulationAbbVie • Irvine, California, USA
Senior Scientist II Modeling and Simulation

Senior Scientist II Modeling and Simulation

AbbVie • Irvine, California, USA
16 days ago
Job type
  • Full-time
Job description

The Local Delivery Translational Sciences (LDTS) organization at AbbVie leads the strategy generation analyses interpretations and reporting of non-clinical data and communications / agreements with global regulatory agencies in the areas of Translational Pharmacology Non-clinical Pharmacokinetics Exposure-Response Immunogenicity and Biopharmaceutics.  The organization supports all phases of non-clinical development supporting all new molecular entities across multiple therapeutic areas.

The organization is responsible for defining the relationship between drug exposure (e.g. concentrations in blood / local tissue) and efficacy and safety measures in non-clinical models to select the optimal dose dosing intervals and biomarkers for FIH studies.

The organization provides critical support for conducting technical due diligence of new business opportunities (both in-licensing and out-licensing) by assessing probability of success for achieving the Target Product Profile (TPP). It also contributes to responses to defend our intellectual properties and extension of patent protection provides critical support for life-cycle management of marketed products responds to questions from post-marketing safety legal pharmaceutical manufacturing and regulatory for marketed products world-wide and publication of scientific information in patents and manuscripts.

The Senior Scientist II - Modeling and Simulation is an onsite role based out of our Irvine CA location.

As a member of multidisciplinary teams this individual will contribute both Pharmacokinetic and Modeling and Simulation (M&S) expertise to lead efforts to build  in silico  drug models that describe the relationship(s) between exposure (drug antibody biomarker) and response (pharmacodynamic) for both desired and undesired effects.  These models will support formulation development as well as early-stage clinical development activities utilizing various sources of data from both nonclinical models and humans.  This individual should be comfortable with exploratory analyses and non-conventional modeling beyond systemic drug development including ophthalmology and aesthetics / dermatology.  This scientist should be proactive inquisitive a self-starter who is eager to learn and thrives in a fast pace and independent environment with a desire to interact as a modeling and simulation expert with matrix project teams.

Specific responsibilities include :

  • Apply PK and PK / PD modeling / simulation to guide the design and execution of in vivo preclinical animal experiments and / or early-stage clinical trials.
  • Identify opportunities to apply and develop modeling and simulation strategies across the R&D portfolio with a focus on ophthalmology and aesthetics / dermatology.
  • Integrate M&S knowledge to contribute to optimizing translational sciences strategies.
  • Analysis of PK / PD data both clinical and nonclinical through the use of sophisticated mathematical and statistical modeling and simulation tools to support dose selection study design and proof-of-concept.
  • Identify and monitor vendors and consultants or engage internal resources as appropriate to meet project deliverables.
  • In collaboration with other stakeholders conduct and integrate data analyses and summarize modeling outcomes to support IND CTA IMPD NDA and BLA filing and regulatory correspondences.
  • Exploratory analyses and non-conventional modeling beyond systemic drug development with a focus on locally-administered / acting products.
  • Maintain awareness of current technologies in PK / PD and PBPK modeling.
  • Develop close and effective partnerships with other nonclinical and clinical pharmacology / PKPD and biomarker scientists safety scientists research scientists clinicians and project teams.
  • Design and provide scientific oversight of preclinical PK / TK studies
  • At project level establish and maintain effective collaborations with key stakeholders to facilitate data integration for biomarker selection candidate nomination / selection and human dose prediction
  • May mentor / supervise a team of one or more and guide and evaluate the performance of those individuals; is accountable for the effective performance of the team / individuals.

Qualifications : Qualifications

  • Bachelors Degree and typically 12 years of experience Masters Degree and typically 10 years of experience PhD and typically 4 years of experience in Pharmaceutical Sciences Quantitative Pharmacology Biomedical / Chemical Engineering Pharmacometrics or related field
  • 2 years of experience in PK / PD modeling & simulation quantitative pharmacology and / or applied population PK in the pharmaceutical industry.
  • Ability to work onsite based out of our Irvine CA location
  • Academic and / or industry experience in either physiologically-based pharmacokinetic (PBPK) modeling or population PK / PKPD modeling.
  • Strong knowledge of biology (mechanism of action) / pharmacology clinical immunology protein sciences statistics and pharmaceutical development
  • Ability to learn new areas of biological sciences and build on solid foundation of quantitative skills to develop models.
  • Data manipulation and programming skills and ideally with the use of programs such as SAS R S or similar programs.
  • Experience using Phoenix WNL GastroPlus and SimCyp
  • Scientific publications in area of specialization.
  • Effective written and verbal communication skills.
  • Strong ability to collaborate with others.
  • Ability to keep up-to-date with and propose the implementation of scientific and technological developments in the area of modeling.
  • The successful candidate is required to have ability to work within a diverse workforce.
  • Preferred Experience

  • Experience with biologics including gene therapy
  • Experience with general programming and data analysis tools / languages such as R Matlab Berkeley Madonna ADAPT etc.
  • 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 ofthis posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic locationand 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 anybonus commission incentive benefits or any other form of compensation and benefits that are allocable to a particular employee remains in the Companys soleand 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

    Key Skills

    Laboratory Experience,Mammalian Cell Culture,Biochemistry,Assays,Protein Purification,Research Experience,Next Generation Sequencing,Research & Development,cGMP,Cell Culture,Molecular Biology,Flow Cytometry

    Experience : years

    Vacancy : 1

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