Principal Scientist, Translational Quantitative Pharmacology

Millipore Corporation; Billerica (MA); On-site; USD 142,000 - 215,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Retirement contributions

Job summary

Millipore Corporation in Billerica, MA is seeking a Principal Scientist, Translational Quantitative Pharmacology (TQP) to lead Model Informed Drug Development strategies and develop quantitative systems pharmacology platform models across the R&D lifecycle.

You will supervise internal and external CRO work, manage multiple projects, communicate science across disciplines, and help build modeling toolboxes to enable quantitative decision-making.

Qualifications

• A PhD in Pharmacokinetics, Pharmaceutical Sciences, Biomedical/Chemical Engineering, Applied Mathematics, or a related discipline
• A minimum of 5 years in industry and/or academia in a relevant background with proven track record of applying modeling and simulation approaches
• Position requires domestic and international travel up to 20% of time

Responsibilities

• Lead development and execution of MIDD strategies with a focus on QSP platform models
• Independently develop QSP models informing progression decisions across pipelines
• Communicate complex modeling results to cross-functional teams and present to leadership

Skills

Quantitative pharmacology

MIDD

QSP modeling

PK/PD modeling

Cross-functional collaboration

Education

PhD in Pharmacokinetics/Pharmaceutical Sciences/Biomedical/Chemical Engineering/Applied Mathematics

Tools

MATLAB/SimBiology

NONMEM

R

Monolix

GastroPlus

Simcyp

Job description

Work Location: Billerica, Massachusetts

Shift: No

Department: HC-RD-BQ4GU Translational QP USA

Your Role

The Principal Scientist, Translational Quantitative Pharmacology (TQP) position in Quantitative Pharmacology within the broader Clinical Measurement Sciences organization is a scientific and cross-functional role, responsible for developing and executing Model Informed Drug Development (MIDD) strategies including with deep focus on developing quantitative systems pharmacology (QSP) platform models across the R&D lifecycle.This position will be responsible for all TQP assignments either executed internally or in collaboration with external TQP related CROs by providing close scientific and technical supervision. The incumbent will be expected to manage multiple projects simultaneously and participate in discussions and presentations.The role requires the candidate to also communicate TQP related science and strategies to all interfacing disciplines at the project or non-project levels and help develop modeling toolboxes to assist project teams in making quantitative decisions.This position reports to the Global Head of Translational Quantitative Pharmacology.

Key Accountabilities

• To be an independent contributor in the field of translational quantitative pharmacology to help advance the fundamental science of the field, to help guide, educate, mentor and contribute to the success of the discipline within the company.
• To be able to independently develop QSP models that will inform compound progression decisions from lead optimization to clinical proof of concept and beyond for the immunology and oncology pipelines for all modalities of interest.
• Responsible for performing human PK predictions and quantitative DDI predictions, the design and analysis of pre-clinical PK/PD experiments and data to support preclinical development, and translational PK/PD analyses to support FIH dose estimates for all modalities of interest.
• To develop models or use commercially available software tools to understand and quantify toxicological signals such as cardiovascular, hepatic, renal, dermal, and heme to determine the therapeutic index and help guide project decisions
• To be able to interact with various project team members in a clear and timely manner, understanding the functions of other team members and being able to explain and educate model-based analyses and results to team members from various backgrounds
• Work in a dynamic team with frequent interactions, both within the team and with associated functions, and will be responsible for the development and implementation of innovative modeling and simulation platforms/strategy that ensure that the right drug is administered to the right patient at the right dosage.
• As a member of project teams and sub-teams, the incumbent will represent QP and present analysis outcomes to cross-functional teams, at department meetings, project review committees and conferences.
• The candidate will contribute to the preparation and presentation of both internal and external documentation (e.g. Investigator's Brochure, IND, CTD) and program strategy.

Minimum Requirements

• A PhD in Pharmacokinetics, Pharmaceutical Sciences, Biomedical/Chemical Engineering, Applied Mathematics, or a related discipline
• A minimum of 5 years in industry and/or academia in a relevant background with proven track record of applying modeling and simulation approaches to biological problems
• Position requires both domestic and international travel up to 20% of time

Preferred Qualifications

• Sound knowledge of the theory and principles of Quantitative Systems Pharmacology plus hands-on competence in mathematical modeling of pharmacologic effects with mechanism-based models using relevant software or programming languages (e.g., MATLAB/SimBiology, NONMEM, R, Monolix).
• Experience in applying translational PK/PD M&S including QSP approaches in research and early clinical development to inform confidence in target/ mechanism, dose/ regimen, and combinations.
• Knowledge of basic principles of biology and pharmacology at the organismal, cellular and molecular level, preferably in one or more of the following areas: oncology, immuno-oncology, immunology
• Ability to rapidly assimilate knowledge of complex biology of drug action for novel mechanisms and transform such understanding into multi-scale mathematical models, with requisite mathematical and computational proficiency
• Experience in applying PBPK modeling and simulation using relevant software (e.g., MATLAB, Simcyp, GastroPlus) is a plus
• Ability to mentor, educate and explain modeling concepts and approaches to colleagues within QP/CMS and the larger organization as well
• Flexibility and keen pursuit of innovation throughout all phases of the drug discovery and development process
• A desire to develop and grow by way of taking responsibility and engaging in additional tasks and operations.
• Ability to work independently and deliver results in a timely manner
• Publications in conference proceedings and peer-reviewed journals is desirable

Pay Range for this position: $142,000 - 215,200

The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here.

The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment.

Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.