Senior Scientist/Senior Data Scientist, Talent Accelerator Program

Job description

Job Description Become a “multilingual” scientist, integrating biology, data, and AI to drive the next breakthroughs in drug discovery. Accelerate your career through a two-year program designed to build deep expertise and cross-disciplinary innovation. Turn real-world research into impact—help shape the next generation of medicines from day one. At our company, we are committed to becoming the premier, research-intensive biopharmaceutical company and are dedicated to provide leading innovations and solutions for today and the future. Our Research Scientists serve as the driving force behind our Innovations. We identify and target mechanisms or pathways involved in the disease process and invent novel treatments/therapeutics to address unmet medical needs. This exceptionally COMPLEX task represents one of the most MULTIDISCIPLINARY endeavours in the field. INNOVATION thrives at the intersection of disciplines. We believe the next breakthrough in medicine will be driven by the integration of biology, technology, data science and AI – enabled by “multilingual” scientists who can operate seamlessly across these domains. To deliberately build this capability, we are launching a Talent Accelerator Program where innovators of tomorrow will undergo a two-year training. You will be part of a research-driven environment supported by industry-leading expertise, based in our Quantitative Biosciences team at our state-of-the-art research facility, in Biopolis, Singapore – where collaboration, capability-building, and scientific impact come together. IMAGINE stepping into a role where every day brings NEW DISCOVERY—apply your expertise to real-world challenges while learning through hands-on projects with leading AI/ML experts, clinicians, and global scientific trailblazers. If you are PASSIONATE to further develop your career as a “multilingual” scientist at the forefront of Drug Discovery, Technology, and Data Science, and are excited to take on the CHALLENGE of contributing to the next generation of drug discovery capabilities, we invite you to apply and join us in shaping the future of translational medicine. WHAT YOU CAN EXPECT Opportunity to shape and establish new scientific capabilities within a multidisciplinary drug discovery environment. Direct involvement in projects that inform pipeline decisions and translational strategy. Exposure to cutting-edge technologies and global expertise, while contributing your own domain knowledge. A collaborative environment that supports both scientific leadership and cross-disciplinary growth. WHAT YOU WILL DO … This role is positioned at the Senior Scientist or Senior Specialist (Data Science) level and requires independent scientific contribution, ownership of deliverables, and the ability to translate deep expertise into organisational capability. As part of this Talent Accelerator Program, you will start with one of the four core expert areas outlined below as your “native” scientific language, where you are expected to begin with a strong foundation. During the two-year program, you will have the opportunity to learn new “languages” across complementary domains and build true cross-disciplinary fluency. We will support this primarily through your work in project teams, where you will apply your core expertise while deepening your understanding of medical and disease biology and drug discovery in real-world settings. In the process, you will be part of large internal teams and will also collaborate with leading external experts in AI/ML, technology, and clinicians as well as highly experienced scientists from global teams, including many with over 20 years of experience and recognised as scientific and thought leaders within the industry. You will also have opportunities for targeted rotations into multiple project teams as well as to develop new areas of expertise and grow into a subject matter expert in additional domains. Together, these experiences are designed to help you connect biology, technology, and data science for the discovery of pharmaceutical medicine in a natural and meaningful way. Over time, the goal is to help you grow into a truly scientifically multilingual individual. 1. Core Technical, Scientific and Functional Expertise Core A: Translational Science & Discovery: Design, develop, optimize and deploy advanced translational human-derived/human-relevant models to study disease biology and therapeutic mechanisms Drive investigation of disease-relevant pathways and mechanisms to inform target identification and validation Drive evaluation of therapeutic candidates by linking experimental findings to disease biology and clinical relevance Synthesize experimental and computational insights into clear, actionable recommendations that translates findings into actionable recommendations that inform decision-making Core B: Spatial Omics, Imaging & Medical Technology: Apply advanced imaging, spatial profiling, and experimental technologies (e.g. immunohistochemistry, spatial omics, flow cytometry, genomics- and omics-based assays) to generate and interpret complex datasets that link experimental models to disease biology Drive the development, optimization, and applications of assays, imaging workflows, and experimental platforms in translational research Translate experimental outputs into biologically meaningful insights relevant for disease understanding and therapeutic development Contribute to establishing robust and reproducible experimental approaches that support downstream analysis and decision-making Core C: AI/ML Model Development & Image Analysis Develop robust, reusable software and analytics pipelines that establish and extend AI/ML capabilities across multiple applications Apply AI/ML and advanced image analysis methodologies to spatial multiomics and digital pathology datasets (e.g., spatial transcriptomics, spatial proteomics, spatial metabolomics, immunohistochemistry, H&E) Design and implement analysis pipelines for image processing, feature extraction, segmentation, and spatial pattern recognition Evaluate and benchmark emerging AI/ML approaches to enable appropriate application in scientific research and decision-makingundefined Core D: Multimodal Data Integration & Biomarker Discovery Develop frameworks to integrate multi-modal data, including multi-omics, clinical, imaging (including MRI, PET, etc), and biobank-derived datasets Apply big data modelling approaches to uncover novel disease-associated patterns, biomarker signatures, and mechanistic insights Leverage multimodal data to enable precision medicine strategies, including patient stratification and identification of potential responders Apply computational methods to uncover relationships across modalities and biological scales, from molecular to tissue-level phenotypes Build scalable and reproducible workflows for data integration, analysis, and interpretation to support translational insights 2. Cross-disciplinary integration & collaboration: You will operate across disciplines to integrate biology, technology, and data science in solving complex scientific problems. Expand into complementary domains to integrate biology, technology, and data science Apply cross-disciplinary knowledge to connect experimental and computational insights Collaborate with internal drug development experts and external KOLs to translate findings across domains Contribute to multi-modal problem-solving for integrated scientific solutions Communicate insights clearly to support cross-functional alignment and decision-making 3. Innovation & continuous development: You will apply and expand your capabilities across wet and dry lab domains to drive innovative solutions to address complex scientific challenges. Explore and implement emerging technologies and methodologies (e.g., advanced imaging, multi-omics integration, AI-driven analysis, translational models) Propose and test innovative a