PBPK Scientist

IND - 2028 Takeda Innovations India Private Limited; Karnataka; Hybrid; INR 4,000,000 - 6,000,000; Full time

Benefits offered by this job

Competitive Salary + Performance Bonus

Hybrid work environment

Healthcare Insurance Plans

Group Life Insurance

Job summary

Takeda's Innovation Capability Center in Bengaluru seeks a PhD/MS/BS-qualified PBPK modeling expert to advance preclinical and clinical PK models using Simcyp, GastroPlus, PK-Sim and Matlab. You will predict tissue distribution, DDIs, and safety margins across species and special populations, collaborating with multi-functional teams.

With a strong emphasis on AI/ML, data science and programming (Python or R), you will contribute to drug discovery decisions and translational science in a hybrid

Qualifications

• PhD degree with 5+ years relevant experience, or MS with 6+ years relevant experience, or BS with 8+ years relevant experience in Pharmaceutical Sciences, Drug Metabolism and Pharmacokinetics, Pharmacology or another relevant field.
• Strong understanding of PBPK modeling and drug metabolism/PK concepts across modalities.
• Proficiency in modeling software (Simcyp, GastroPlus, PK-Sim, MATLAB) and programming (Python/R).

Responsibilities

• Develop the PBPK framework for preclinical species and humans in Simcyp, GastroPlus, Matlab or other relevant software.
• Apply models to new chemical entities to predict tissue distribution, PK, drug-drug interaction effects, and safety margins.
• Predict PK in special populations (hepatic/renal impairment, pediatrics, pregnant or diseased).
• Develop novel PBPK models to answer mechanistic questions and translate across species.
• Perform in silico ADME support for PBPK parameterization.
• Maintain input/output records and workflow documentation.
• Collaborate with multi-functional teams to identify data requirements and model usage strategies.
• Communicate modeling recommendations to influence drug discovery and development decisions.

Skills

PBPK modeling

Pharmacokinetics

Communication skills

Teamwork

Analytical thinking

AI/ML exposure

Education

PhD in Pharmaceutical Sciences

MS in Pharmaceutical Sciences

BS in Pharmaceutical Sciences

Tools

Simcyp

GastroPlus

PK-Sim

MATLAB

Python

R

Job description

The Future Begins Here At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet. Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.

At Takeda’s ICC we Unite in Diversity Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team

Role Objectives:

• Develop the PBPK framework for preclinical species and humans in Simcyp, Gastroplus, Matlab or other relevant software.
• Apply the models to new chemical entities for understanding tissue distribution to inform drug-target coverage and safety margins, predicting absorption and PK, and evaluating the impact of drug-drug interactions.
• Predict PK in special populations (e.g. hepatic or renal impairment patients, pediatrics, pregnant population, diseased population, etc.).
• Develop novel PBPK models to answer mechanistic questions (e.g., understanding complex clearance mechanisms, impact of biopharmaceutical properties on oral absorption characteristics, translation across species).
• Perform in silico ADME support as an enabler for PBPK model parameterization.
• Maintain input and output records and record workflow documentation.
• Collaborate with multi-functional project teams and functional group colleagues to identify data requirements for model development, and strategies for model application and use.
• Communicate recommendations from their modeling analyses to influence decisions in drug discovery and development.

PhD degree with 5+ years relevant experience, or MS with 6+ years relevant experience, or BS with 8+ years relevant experience in Pharmaceutical Sciences, Drug Metabolism and Pharmacokinetics, Pharmacology or another relevant field. Strong understanding of the concepts of, and prior experience in PBPK modeling. Strong training and understanding of the concepts of drug metabolism and pharmacokinetics of diverse modalities (e.g., small molecules, biotherapeutics), biochemical aspects of drug metabolism enzymes and transporters, and various in vitro assays conducted to assess DDI potential. Knowledge and understanding of biopharmaceutics (e.g., solubility, dissolution, permeability, formulation and absorption mechanisms) with application to prediction of drug absorption. Proficient in one or more of the following modeling and simulation software – Simcyp, Gastroplus, PK-Sim, Matlab or another relevant software. Preferably experience in AI/ML, data science and programming (Python or R). Exceptional interpersonal, verbal communication and writing skills. Good organizational and planning skills. Proven record of accomplishment of teamwork, adaptability, innovation, initiative, and integrity. Strong quantitative, analytical and problem solving skills.

BENEFITS:

• Competitive Salary + Performance Annual Bonus
• Flexible work environment, including hybrid working
• Comprehensive Healthcare Insurance Plans for self, spouse, and children
• Group Term Life Insurance and Group Accident Insurance programs
• Employee Assistance Program
• Broad Variety of learning platforms
• Diversity, Equity, and Inclusion Programs
• Reimbursements – Home Internet & Mobile Phone
• Employee Referral Program
• Leaves – Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)

ABOUT ICC IN TAKEDA:

Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day. As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.

#Li-Hybrid Locations IND - Bengaluru - Research and Development Worker Type Employee Worker Sub-Type Regular Time Type Full time

Takeda is an equal opportunity employer.