Director, Systems Modelling & QSP

JOB DESCRIPTION Job Title: Director - Systems Modelling & QSP Job Location: Bengaluru, India Department: Computational and Data Sciences About Syngene: Syngene ( ) is an innovation-led contract research, development and manufacturing organization offering integrated scientific services from early discovery to commercial supply. At Syngene, safety is at the heart of everything we do personally and professionally. Syngene has placed safety at par with business performance with shared responsibility and accountability, including following safety guidelines, procedures and SOPs, in letter and spirit Mandatory expectation for all roles as per Syngene safety guidelines Overall adherence to safe practices and procedures of oneself and the teams aligned Contributing to development of procedures, practices and systems that ensures safe operations and compliance to company’s integrity & quality standards Driving a corporate culture that promotes environment, health, and safety (EHS) mindset and operational discipline at the workplace at all times. Ensuring safety of self, teams and lab/plant by adhering to safety protocols and following environment, health, and safety (EHS) requirements at all times in the workplace. Ensure all assigned mandatory trainings related to data integrity, health, and safety measures are completed on time by all members of the team including self Compliance to Syngene’ s quality standards at all times Hold self and their teams accountable for the achievement of safety goals Govern and Review safety metrics from time to time Core Purpose of the Role: The Director, Systems Modelling & Quantitative Systems Pharmacology (QSP) will lead Syngene's modelling and simulation capabilities across small molecules, biologics and advanced therapeutic modalities. The role will be responsible for developing and applying mechanistic, systems-level and quantitative modelling approaches that improve understanding of disease biology, therapeutic mechanisms, translational outcomes and clinical development decisions. This leader will be responsible for an integrated modelling team spanning QSP, mechanistic systems biology, PK/PD, PBPK and AI-enabled modelling approaches to support both internal programmes and global client engagements. The position will play a critical role in advancing model-informed drug discovery and development while creating differentiated scientific capabilities for Syngene. Role Accountabilities Develop long-term capability roadmaps spanning QSP, systems biology, mechanistic modelling, PBPK and translational modelling. Partner with Head, CDS to establish Syngene as a leading partner for model-informed drug discovery and development. Identify emerging technologies and opportunities in digital biology, virtual patients, AI-driven modelling and model-informed decision making. Lead development and application of systems biology frameworks for translational models, including mechanistic disease, (PB)PK/PD, exposure-response, trial simulation. Support target identification, target validation, mechanism-of-action and translational studies through systems-level modelling. Drive integration of AI, machine learning and mechanistic modelling approaches. Mentor scientists and foster a culture of innovation, collaboration and scientific excellence. Uphold Syngene's values of Safety, Quality, Integrity and Compliance. Ensure adherence to data governance, security, privacy and regulatory requirements. Promote a strong culture of responsible AI and ethical use of data. Support EHSS initiatives and organisational compliance programmes. Syngene Values All employees will consistently demonstrate alignment with our core values Excellence Integrity Professionalism Experience 15 years of relevant experience in either pharma or CRO/CDMO organizations. Demonstrated leadership of leadership in QSP or mechanistic modelling. Track record of supporting drug discovery and development decisions through quantitative modelling. Experience managing global stakeholders and client-facing engagements. Strong understanding of pharmaceutical R&D and scientific workflows Education: Ph.D. in a related field (QSP, systems biology, applied mathematics, pharmaceutical sciences) Other competencies required for the role Excellent people skills and ability to instill a culture of collaboration. Working in multidisciplinary environments. Strong customer and service delivery mindset. Confident and well-practiced language and interpersonal skills. Impeccable ethics and integrity along with an exposure to a multi-cultural work environment. Equal Opportunity Employer: It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities.