Assoc. Scientist,Post Doc Fellow

Merck Gruppe - MSD Sharp & Dohme; Singapore; On-site; SGD 56,000 - 78,000; Full time

Job summary

Merck Gruppe - MSD Sharp & Dohme is seeking a Postdoctoral Fellow in AI/ML for Tissue Analytics within the Quantitative Biosciences group at our Biopolis, Singapore lab. The role focuses on developing innovative AI/ML methods for tissue analytics, digital pathology, and biomarker discovery, with opportunities to publish and collaborate across disciplines.

You will work at the intersection of data science, pathology, biology, translational medicine, and drug discovery, contributing to

Qualifications

• PhD in Computer Science, Data Science, Electrical/Biomedical Engineering, or related field.
• Strong track record of peer-reviewed publications and presentations.
• Experience with ML/DL, including foundation models and multimodal learning.
• Hands-on programming in Python with ML frameworks; cloud experience a plus.
• Experience in digital pathology, tissue imaging, or computational pathology is highly desirable.

Responsibilities

• Design, develop, and deploy AI/ML models for tissue analytics and digital pathology.
• Advance ML methodologies including foundation models and multimodal learning.
• Formulate hypotheses, run computational studies, and interpret results.
• Collaborate across data science, pathology, biology, and translational research teams.
• Disseminate advances via publications, reports, and conference presentations.

Skills

Machine learning

Deep learning

Scientific publications

Collaboration

Communication skills

Biomarker sciences

Biology knowledge

Analytical thinking

Education

PhD degree

Tools

Python

PyTorch

TensorFlow

scikit-learn

OpenCV

Job description

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 and dedicated to providing leading 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.

Innovation also thrives at that intersection of multiple disciplines!In this role as a Postdoctoral fellow,AI/MLfor Tissue Analytics, you willhave theopportunityto work atthatintersection of disciplines to 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 insights that accelerate biomedical discovery.

• Opportunity to 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 a Postdoctoral 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 generatingbothmethodologicaladvances 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, computationalpathology,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 of disease biology(e.g.,neuroscience, cardiometabolic, immunological, or otherrelated therapeutic areas)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}

Preferred Skills:

Employee Status:

Temporary (Fixed Term)

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Not Applicable

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:11/6/2026

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID:R419798