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Associate Scientific Director, Translational Quantitative Pharmacology

5 years
Not Disclosed
10 Nov. 27, 2025
Job Description
Job Type: Full Time Education: B.Sc./ M.Sc./ M.Pharm/ B.Pharm/ Life Sciences Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Associate Scientific Director – Translational Quantitative Pharmacology

Job ID: 290678 | Mumbai, Maharashtra, India | Full-Time

Position Overview

The Associate Scientific Director, Translational Quantitative Pharmacology (TQP), plays a key scientific and cross-functional role within the Quantitative Pharmacology (QP) group of the Clinical Measurement Sciences (CMS) organization. This position is responsible for developing, implementing, and advancing Model-Informed Drug Development (MIDD) strategies across the full R&D lifecycle.

The role requires expertise in quantitative systems pharmacology, PK/PD modeling, translational science, and advanced simulation approaches to inform critical decisions during drug discovery and development. The selected candidate will manage multiple TQP initiatives internally and in collaboration with external CROs, ensuring high-quality execution and scientific excellence.


Key Responsibilities

Scientific Leadership & Quantitative Modeling

  • Independently develop quantitative, mechanism-based PK/PD models that support compound progression from lead optimization to clinical proof of concept.

  • Conduct translational PK/PD modelling to support First-in-Human (FIH) dose selection across oncology, immunology, and related therapeutic areas.

  • Perform human PK projections, quantitative DDI predictions, and preclinical PK/PD experiment design and analysis.

  • Develop or apply software tools and modeling approaches to characterize toxicological signals (cardiac, hepatic, renal, dermal), enabling therapeutic index assessment.

Cross-Functional Collaboration

  • Represent Quantitative Pharmacology in project teams, providing strategic MIDD guidance to cross-functional stakeholders.

  • Clearly communicate modeling rationale, methodologies, and outputs to audiences with diverse scientific backgrounds.

  • Contribute to clinical and regulatory documentation such as Investigator’s Brochures, IND packages, CTD sections, and strategic program presentations.

Strategic & Organizational Impact

  • Lead initiatives that strengthen MIDD capabilities across the organization.

  • Mentor, guide, and support colleagues within QP/CMS to build modeling and simulation expertise.

  • Drive the development and implementation of innovative modeling platforms ensuring optimal dose, regimen, and therapeutic strategies across programs.

External Engagement

  • Represent the organization in scientific consortia, academic collaborations, and MIDD-focused conferences.

  • Publish scientific findings in recognized journals and present at industry forums.

  • Partner with external CROs and research organizations to ensure seamless execution of TQP deliverables.


Candidate Profile

Education

  • PhD in Pharmacokinetics, Pharmaceutical Sciences, Biomedical or Chemical Engineering, Applied Mathematics, or related disciplines.

  • Fluency in English is required.

Experience Requirements

  • Minimum 5 years of experience in the pharmaceutical industry, biotechnology, or academia in quantitative pharmacology, PK/PD modeling, translational science, or related disciplines.

  • Proven experience applying modeling and simulation to inform decisions from discovery to early clinical development.

  • Hands-on experience with software such as NONMEM, Monolix, R, MATLAB/SimBiology, Simcyp, or GastroPlus.

Technical Skills

  • Strong understanding of Quantitative Systems Pharmacology (QSP) principles and mechanistic modeling.

  • Experience transforming complex biological mechanisms into multi-scale mathematical models.

  • Familiarity with PBPK modeling and toxicology modeling tools (e.g., DILI-Sym, RenaSym) is highly desirable.

  • Ability to assimilate new biological concepts rapidly and integrate them into modeling strategies.

Core Competencies

  • Strong problem-solving, communication, and cross-functional collaboration skills.

  • Demonstrated ability to mentor junior scientists and explain modeling strategies to non-modelers.

  • Ability to work independently, manage multiple priorities, and deliver high-quality outputs within timelines.

  • Commitment to innovation across all phases of drug discovery and development.


Why Join Us

You will join a global organization committed to scientific innovation, patient impact, and the advancement of next-generation therapeutic solutions. This role offers the opportunity to work on high-value programs across Oncology, Neurology, Immunology, and multiple emerging therapeutic domains. Our inclusive and diverse environment supports continuous learning, professional growth, and career development at a global scale.


Apply Now

If you are driven by quantitative science, translational pharmacology, and model-based decision-making, apply now to join a team committed to advancing healthcare through scientific excellence.