Assoc. Scientist,Post Doc Fellow

MSD; Singapore; Vor Ort; SGD 78.000 - 106.000; Vollzeit

Zusammenfassung

MSD in Singapore seeks a Postdoctoral Fellow in AI/ML for Tissue Analytics to advance biomarker research at the Biopolis laboratory. You will design and deploy AI/ML models for tissue analytics and computational pathology, contributing to translational research and drug discovery.

The role offers collaboration with data science, biology, and translational medicine teams, with opportunities to publish and expand an international scientific network.

Qualifikationen

• PhD degree in Computer Science, Data Science, Electrical Engineering, Biomedical Engineering, Biomedical Sciences, Computational Biology, Physics, or related discipline.
• Track record of scientific publications in peer-reviewed journals or presentations at leading scientific conferences.
• Strong background in ML/DL including foundation models, multimodal learning, generative AI, transformers, self-supervised learning.
• Hands-on experience in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Experience with digital pathology, tissue imaging, and computational pathology is highly desirable.

Aufgaben

• Design, build, validate, and deploy AI/ML models for tissue analytics and computational pathology.
• Develop advanced ML methodologies including foundation models and multimodal learning to extract biological insights.
• Formulate hypotheses, design computational studies, and interpret AI/ML findings for disease biology and drug discovery.
• Collaborate with data science, pathology, biology, translational research, and external partners.
• Disseminate scientific advances through publications, reports, and conferences.

Kenntnisse

Machine learning

Deep learning

Foundation models

Multimodal learning

Python

PyTorch

TensorFlow

Cloud computing

Computational pathology

Ausbildung

PhD in Computer Science

Tools

PyTorch

TensorFlow

scikit-learn

AWS SageMaker

Databricks

Jobbeschreibung

Job Description

Postdoctoral fellow,AI/ML for Tissue Analytics, Quantitative Biosciences

At our company, we are committed to becoming the premier, research-intensive biopharmaceutical company andare dedicated to providingleading innovations and solutions for today and the future.

Our Research Scientistsserve as the driving force behind our Innovations.Weidentifyand target mechanisms or pathwaysinvolvedinthe diseaseprocess, andinventnoveltreatments/therapeutics to address unmet medical needs.This exceptionallyCOMPLEXtaskrepresentsone of the mostMULTIDISCIPLINARYendeavours in the field.

INNOVATIONalsothrivesatthatintersection ofmultipledisciplines!In this role as aPostdoctoral fellow,AI/MLfor Tissue Analytics, you willhave theopportunityto work atthatintersection of disciplinesto shape innovation in biomarker sciences, influence pipeline decisions, and contribute to a research-driven environment with industry-leading expertise.This role iswithin ourTissue Biomarkers & Analyticsteam, Quantitative Biosciences,at ourstate-of-the-artresearch laboratory inBiopolis, Singapore.

If you arePASSIONATEabout applying yourexpertiseto address critical unmet needs and accelerate the discovery and development of new drugs, we invite you to join us in pioneering the future ofbiomarker research forthebiopharmaceuticalindustry.

WHAT YOU CAN EXPECT …

• Opportunity todesign,build,validate, and deploy frontierAI/MLand next-generation capabilitiesfor tissue analytics and computational pathology,spanning areas suchfoundation models, multimodal learning, digital pathology, and emerging AI-enabled biomedical research paradigms.

• Opportunity to translate novel AI/ML methodologies into scalable solutionsfor real-world translational research, driving both methodological advances and novel biological insightsthat accelerate biomedical discovery.

• Opportunityto collaborate with an interdisciplinary team spanning data science, pathology, biology, translational medicine, and drug discovery, working at the intersection of biology, technology, and AI/data science.
• Opportunity to grow scientifically and professionally through mentorship from experts across AI/ML, pathology, biomarker sciences, and drug discovery, while building a strong publication record and expanding your international scientific network.

WHAT YOU WILL DO…

In this role as aPostdoctoral Fellow,AI/ML for Tissue Analytics,you willwork atthe intersection of AI/ML, pathology,and biomedical researchto develop innovative analytical capabilitiesand apply them to important biomedical and translational research challenges.You will contribute to a research-driven environment with industry-leadingexpertisewhile generatingbothmethodological advances and biological insightsthat can help shape futureapproaches to biomarker discovery anddrugdevelopment. A key expectation of thisfellowshipis thedissemination of scientific advances throughpeer-reviewed publications and presentations at leading scientific conferences.

Your responsibilities will include, but not be limited to:

• Designing,building,validating,anddeployinginnovative AI/MLmodels for tissue analyticsand computational pathology,to analyse digitalpathologyandtissue imagingdatafrom preclinical and clinical studies.

• Developingand implementing advanced machine learningmethodologies, including foundation models, multimodal learning approaches, and other emerging AI techniques, toextractbiological insights from complex datasets andadvancenext-generation tissue analyticscapabilities.

• Formulating scientific hypotheses,designingand executing computational studies, and interpreting AI/ML findings in the context of disease biology, biomarker discovery,and therapeutic development.

• Evaluatingand advancingemerging advances in artificial intelligence, machine learning, and digital pathology,including foundation models and generative AI,identifyingopportunities tostrengtheninternal scientific and analytical capabilities.

• Collaborating with interdisciplinary teams spanning data science, pathology, biology, and translational research, as well as external collaborators and technology partnerswhereappropriate.

• Disseminatingscientificand technical advancesthrough presentations, technical reports, project proposals, peer-reviewed publications, and scientific conferences.

WHAT YOU MUST HAVE…

• PhD degreein Computer Science, Data Science, Electrical Engineering, Biomedical Engineering, Biomedical Sciences, Computational Biology, Physics, or a related discipline.

• Track recordof scientific publicationsin peer-reviewed journals and/or presentations at leading scientific conferences,demonstratingthe ability to independently drive research from concept through dissemination.

• Strong background in machine learning and deep learning, including foundation models, representation learning, multimodal learning, generative AI, transformers, self-supervised learning, and related state-of-the art approaches.Experience developing AI/ML models for medical imaging, computational pathology, computer vision, biomedical research, or related domains is highly desirable.Familiarity with emerging AI paradigms such as agentic AI systems and AI-assisted scientific workflows, would beadvantageous.

• Hands-on experience in scientific programming and machine learning development, including Pythonandmachine learning frameworks such asPyTorch, TensorFlow, and scikit-learn. Experience with cloud computing,ML engineering, model deployment, and scalable AI workflows usingplatforms such as AWS (e.g., SageMaker), Databricks, or equivalent environmentswould beadvantageous.

• Experience with digital pathology, tissue imaging, computational pathology, spatial biology,or related biomedical data modalities.Familiarity with image analysis techniques such as image segmentation, registration, feature extraction, representation learning and image processing using OpenCV, ITK,SimpleITK, or similar frameworks is highly desirable.Experience with digital pathology platforms and image analysis software,such as HALO,QuPath,Visiopharm, or equivalent platforms would beadvantageous.

• Knowledge ofdisease biology(e.g.,neuroscience, cardiometabolic, immunological, or otherrelated therapeuticareas)would beadvantageous. More importantly, a strong interest in understanding disease biology and applying computational approaches to address challenges in biomedical research and pharmaceutical drug discovery is expected.

• Scientific curiosity, creativity, and a passion for innovation, with a demonstrated interest in developing novel analytical methodologies and applying them to answer important biological and translational research questions.

• Interest in bridging methodological innovation with real-world biomedical applications, translating computational advances into biological insights and scientific impact.

• Strong collaboration, communication, and problem-solving skills, with the ability to thrive in a highly collaborative and multidisciplinary environment while independently driving research projects and managing multiple priorities and timelines.

Required Skills:

Adaptability, Adaptability, Analytical Chemistry, Applied Research, Biological Data Analysis, Biomarker Discovery, Biomarkers, Biomedical Applications, Biomedical Engineering, Cell Culture Techniques, Computational Biology, Conference Presentations, Data Analysis, Disease Models, Drug Discovery Research, Exploratory Research, Immunoassays, In Vivo Mouse Models, Life Science, Mathematical Biology, Molecular Biology, Programming Languages, Research Designs, Researching, Research Proposals {+ 7 more}

Employee Status:

Temporary (Fixed Term)

Flexible Work Arrangements:

Not Applicable

Job Posting End Date:

11/6/2026

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