Principal Research Scientist - Modeling and Simulation

Principal Research Scientist – Modeling and Simulation

The Local Delivery Translational Sciences (LDTS) organization at Abb Vie 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 worldwide, and publication of scientific information in patents and manuscripts.

• 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 non‑clinical, 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 non‑clinical 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.

• BS with typically 14+ years of experience OR MS with typically 12+ years of experience OR PhD with typically 6+ 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.
• 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,Gastro Plus, and Sim Cyp.
• Scientific publications in area of specialization.
• Effective written and verbal communication skills.
• Strong ability to collaborate with others.
• Ability to…