Associate Director, Pharmacometrics Lead

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use .  I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

Objective / Purpose: Takeda is a global, values-based, R&D-driven, top 10 biopharmaceutical leader committed to discover and deliver life-transforming treatments, guided by our commitment to patients, our people and the planet.

Our Data and Quantitative Sciences group (DQS) is made up of more than 500 quantitative scientists who harness the insight of data and digital to speed the development of highly innovative treatments to patients. These scientists (from quantitative pharmacology and translation sciences, statistics, programming, patient safety & pharmacovigilance) bring their expertise to our global program teams and reimagine our disciplines. They work with novel data streams, including real-world data and digital tools, and apply advanced analytics including artificial intelligence and automation.

As part of DQS, the Pharmacometrics (PMx) Team at Takeda drive pharmacometrics strategy from FIH through life-cycle management within the global project team. The PMx role works in partnership with Quantitative Clinical Pharmacology lead to drive a MIDD path within each project.

Position Objectives : Leads and drives an integrated pharmacometric strategy for multiple drug development projects with a high level of technical and strategic independence from translational stages through to life cycle management.

Provides additional portfolio support through program reviews, platform modelling approaches, methodology applications, collaborative decision-making, infrastructure and best practice initiatives.

Explores and excels in synergistic relationships with experts in clinical pharmacology, digital health, global outcomes/epidemiology, biostatistics, and other key data science disciplines.

Serves as an ambassador of Pharmacometrics and Data and Quantitative Sciences to the R&D organization and the external scientific community through high-value participation at scientific meetings and impactful publications.

Accountabilities:                                                                               Provides scientific and strategic pharmacometric leadership for multiple projects on Global Program Teams and associated scientific and operational sub-teams with limited supervision.

Independently drives and leads the formulating and delivery of the pharmacometrics component of the QP Plan.

Key contributor and driver of pharmacometrics strategies, including Model-Informed Drug Development (MIDD) practices and advanced modeling and simulation approaches (e.g., QSP, MBMA, CTS) to inform internal decisions and external regulatory interactions.

Represents Pharmacometrics, where required in global or regional regulatory agency meetings and be responsible for the technical component of the clinical pharmacology summary documents for regulatory submissions.

Oversees and/or independently performs PK, PD, and pharmacometric analyses including the interpretation of PK/PD data in close partnership with DSI and external partners.

Maintains a high standard for good clinical practice, compliance, and ethics.

Mentors junior staff to promote scientific excellence and individual achievement.

Participates as a member of Business Development due diligence, when requested.

Contributes to infrastructure initiatives and/ or cross-functional best practice initiatives.

Has scientific influence outside PMx and Takeda through presentations and publications and active contribution to scientific societies and cross-industry consortiums related to pharmacometrics such as working groups or sessions at ACCP, ASCPT, ACOP, PAGE, ISQP, IQ, and DIA.

Education & Competencies (Technical and Behavioral):   Desired education qualifications and equivalencies and desired minimum years industry experience: Pharm D. or PhD with 5+ years of working experience in a quantitative field with working experience in pharmacometrics, mechanistic modelling, statistics or chemical bio-engineering.

MS with 8+ years' working experience in a quantitative field working experience in a quantitative field with working experience in pharmacometrics and/or mechanistic modelling.

Desired technical skills: Established skills in pharmacometrics and its application in early & late stage drug development programs.

Able to oversee the technical aspects of out-sourced pharmacometrics work in collaboration with the QCP lead.

Expert in use of some of the relevant software e.g. R, NonMem, STAN, SAS, Phoenix

Solid mathematical and/or statistical background.

Able to communicate results at both a technical and strategic level to non-experts.

Comprehensive understanding of global regulatory expectations, stages of drug development and opportunities of the application of pharmacometrics within the drug development paradigm.

Expert knowledge of regulatory guidance for industry applicable to pharmacometrics.

Advanced knowledge and/or hands-on applications in integration of PK, PD, efficacy, and safety data from multiple sources for dose selection and decision-making.

Desired behavioral competencies: Independently works by delivering, and prioritizing PMx activities across projects with minimal supervision. 

Effectively drives and influences project teams towards objectives while enabling and making decisions.

Focuses on priorities and delivers on commitments.

Strong communication skills and ability to translate effectively across functional lines.

Possess collaborative mindset, inspire teamwork, and is effective at building alliance across functions.

Assess benefit/risk of options.

Develop understanding of business beyond Pharmacometrics.

Work arrangement: Hybrid, in accordance with Takeda’s Hybrid and Remote Work policy

Locations IND - Bengaluru Worker Type Employee Worker Sub-Type Regular Time Type Full time