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Associate Scientific Director, Translational Quantitative Pharmacology

5 years years
Not Disclosed
10 Aug. 30, 2025
Job Description
Job Type: Full Time Education: PhD in: Pharmacokinetics Pharmaceutical Sciences Biomedical/Chemical Engineering Applied Mathematics Or a related discipline 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

๐Ÿ”ฌ Job Title:

Associate Scientific Director – Translational Quantitative Pharmacology (TQP)

๐Ÿ†” Job ID:

290678

๐Ÿ“ Location:

Mumbai, Maharashtra, India

๐Ÿ•’ Job Type:

Full-time


๐ŸŒ About Merck:

At Merck, we unite curious minds across Healthcare, Life Science, and Electronics to push boundaries and create solutions that enrich human lives. Our purpose in Healthcare is to help create, improve, and prolong lives—especially in therapeutic areas such as Oncology, Neurology, and Fertility.

Joining Merck means joining a diverse, inclusive, and innovative global team with a passion for discovery and patient impact.


๐ŸŽฏ Role Purpose:

As the Associate Scientific Director, Translational Quantitative Pharmacology (TQP), you will contribute to Model Informed Drug Development (MIDD) strategies across the R&D lifecycle within the Quantitative Pharmacology (QP) team under the Clinical Measurement Sciences (CMS) organization. You will lead internal and outsourced TQP projects, develop mechanistic PK/PD models, and influence critical development decisions from discovery to early clinical phases.


๐Ÿ“Œ Key Responsibilities:

๐Ÿ”น Scientific & Strategic Leadership:

  • Develop and implement mechanistic PK/PD models to inform compound progression decisions across immunology and oncology portfolios.

  • Execute human PK and drug-drug interaction (DDI) predictions.

  • Support First-in-Man (FIM) dose estimation for all drug modalities.

  • Design, analyze, and interpret preclinical PK/PD experiments and toxicological signals to determine therapeutic index.

  • Participate in development and application of modeling toolkits and strategies to support MIDD initiatives.

๐Ÿ”น Operational & Cross-Functional Collaboration:

  • Oversee internal and outsourced TQP work.

  • Collaborate across disciplines such as:

    • Clinical Pharmacology

    • Biostatistics

    • Toxicology

    • DMPK

    • Biomarkers

    • Data Science

  • Represent QP in project teams, sub-teams, and internal committees.

๐Ÿ”น Communication & Mentoring:

  • Present modeling strategies and findings to cross-functional teams.

  • Contribute to regulatory documentation (e.g., IBs, INDs, CTDs).

  • Educate and mentor team members in modeling principles and applications.

๐Ÿ”น Innovation & External Engagement:

  • Lead and participate in automation and AI-based model development for pharmacological and toxicological predictions.

  • Present research at scientific conferences and industry consortia.

  • Engage in academic partnerships and publish in peer-reviewed journals.


๐Ÿง  Qualifications & Experience:

๐ŸŽ“ Education:

  • PhD in:

    • Pharmacokinetics

    • Pharmaceutical Sciences

    • Biomedical/Chemical Engineering

    • Applied Mathematics

    • Or a related discipline

๐Ÿ’ผ Experience:

  • Minimum 5 years of relevant experience in pharma/biotech or academia.

  • Proven expertise in:

    • Quantitative Systems Pharmacology (QSP)

    • Translational PK/PD modeling

    • Mechanism-based modeling

    • Toxicology modeling (e.g., DILI Sym, RenaSym)

๐Ÿ›  Tools & Software:

  • Proficiency in modeling tools:

    • MATLAB/SimBiology

    • NONMEM

    • Monolix

    • R

  • Experience with:

    • PBPK modeling (e.g., Simcyp, GastroPlus)

    • Cardiovascular, hepatic, renal toxicity modeling

    • AI-based platforms (desirable)


๐Ÿค Stakeholder Interaction:

๐Ÿ”น Internal:

  • Oncology, Neurology, Immunology Research Units

  • Clinical Pharmacology, Biostatistics, Safety Sciences, Biomarkers, DMPK

  • Project Teams and Functional Sub-teams

๐Ÿ”น External:

  • Academic research partners

  • Industry consortia (e.g., IQ Working Groups)

  • Contract Research Organizations (CROs)

  • Regulatory and scientific forums


๐ŸŒŸ Key Competencies:

  • Strong ability to translate complex biological mechanisms into multi-scale models

  • Clear communication of quantitative concepts to non-modeling stakeholders

  • Leadership in cross-functional environments

  • Publication track record in relevant scientific journals and conferences

  • Proactive, solution-driven, and adaptable to dynamic R&D environments


๐ŸŽ What We Offer:

๐Ÿ’ธ Financial & Protection:

  • Competitive compensation and long-term financial benefits.

๐Ÿง  Health & Wellbeing:

  • Physical and mental wellness programs, including health checkups and medical insurance.

๐Ÿ‘ช Family Support:

  • Benefits for all stages of family life, including fertility support.

๐ŸŒด Time Away:

  • Generous leave policies for recharging and managing life events.

๐Ÿง˜ Lifestyle:

  • Access to flexible working, gyms, car benefits, and shopping discounts.


๐Ÿ” Recruitment Process:

  1. Apply: Submit your application online.

  2. Screen: Applications are reviewed for role fit.

  3. Assess: You may be interviewed via phone, video, or in-person.

  4. Mutual Agreement: If aligned, an offer will be extended.

  5. Onboard: Begin your journey with Merck with a structured onboarding experience.


โš ๏ธ Fraud Alert:

Beware of unauthorized job offers. All legitimate roles are listed on Merck’s official career portal. Learn more about fraud prevention here.