We are seeking a highly motivated translational scientist to join the Predictive Sciences group within Asia Translational Medicine (ATM), where quantitative modeling, clinical pharmacology, biomarkers, and translational data science are integrated to enable model-informed research and development. This role offers a unique opportunity to shape global clinical development by leveraging Asia's rapidly evolving biomedical innovation ecosystem, diverse patient populations, and growing translational research capabilities to generate actionable insights with enterprise-wide impact. In this role, you will partner with regional and global, multidisciplinary clinical and translational teams to develop and apply cutting-edge quantitative approaches that inform clinical development strategies and deepen our understanding of causal disease biology and therapeutic response.

Working across multiple therapeutic areas and advanced therapeutic modalities - including therapeutic proteins, antibodies, and nucleic acids (particularly, siRNA and antisense oligonucleotides) - you will integrate mechanistic modeling, biomarkers, translational -omics, and clinical trial data to enable model-informed drug development. You will also help advance state-of-art predictive modeling methodologies and computational capabilities that strengthen quantitative translational science across the portfolio.

Key responsibilities include:

• Serve as the Predictive Sciences representative on multidisciplinary translational medicine teams, developing and applying quantitative strategies that contribute to biomarker strategy and inform clinical development and model-informed decision making.

• Develop and apply mechanistic modeling approaches - including PK/PD, PBPK/PD, QSP, and AI/ML-enabled analytics - to integrate clinical and translational data, characterize human pharmacology (including ethnopharmacology), evaluate alternative trial designs, and forecast the probability of technical success for different dosing regimens, combination strategies, patient populations, and regional standards of care.

• Generate quantitative evidence that informs critical project and portfolio decisions, including candidate progression, clinical development strategy, and investment prioritization.

• Partner closely with Clinical Pharmacology, Biomarkers, Bioanalytical Sciences, Clinical Development, and other partnering functions to address complex scientific questions and advance translational hypotheses.

• Communicate quantitative strategies and modeling results to project teams, governance committees, regulatory agencies, and external scientific audiences with clarity and scientific rigor.

• Advance Predictive Sciences through the development and application of innovative modeling methodologies, computational technologies, and reusable quantitative frameworks with impact across therapeutic areas and development programs.

Why you?

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

• PhD, PharmD, MD, or equivalent doctoral degree in Pharmaceutical Sciences, Quantitative and/or Clinical Pharmacology, Bioengineering, Mathematics, Medicine, or a related quantitative discipline.

• Experience in mechanistic modeling approaches, including PK/PD, PBPK, and/or QSP, applied to drug development.

• Experience with use of AI/ML, virtual population, or digital twin approaches for executing in silico clinical trial simulation is advantageous.

• Experience with integrating quantitative modeling with clinical pharmacology, biomarkers, relevant clinical endpoints, and biological/disease mechanisms to inform translational and clinical development.

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

• Excellent communication and collaboration skills. Experience working in multidisciplinary drug development teams (for Associate Director-level). Fluency in English (written and oral) is required.

• Experience within immunology, hepatology, respiratory, renal, oncology, or related therapeutic areas.

• Experience applying predictive modeling approaches to biologics, oligonucleotides, or other advanced therapeutic modalities.

• Track record of scientific publication, conference presentations, and application of model-informed drug development in research and/or development projects.

We have flexibility to hire at the Manager (entry) or Associate Director level, depending on the candidate's experience and expertise. This position will be based at one of GSK's sites in Upper Providence, Pennsylvania (US), Philadelphia, Pennsylvania (US), GSK Asia House, Rochester Park (Singapore), or Zhangjiang Park, Shanghai (China). This role is offered as a hybrid position with an expectation to be on-site 2-3 days per week. Occasional travel may be required.

#LI-GSK

Skills

Animal Models, Artificial Intelligence (AI), Clinical Development, Clinical Pharmacology, Drug Design, Drug Development, Drug Discovery Research, In Vitro Models, In Vitro Research, Medication Safety, Pharmaceutical Sciences, Pharmacodynamics, Pharmacokinetics, Pharmacometrics, Regulatory Compliance

 

 

Please visit  GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at - [email protected]

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/