Assoc. Scientist,Post Doc Fellow

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 target mechanisms or pathwaysinvolvedinthe diseaseprocess, andinventnoveltreatments/therapeutics to address unmet medical needs.This exceptionallyCOMPLEXtaskrepresentsone of the mostMULTIDISCIPLINARYendeavours in the field.

INNOVATIONalsothrivesatthatintersection ofmultipledisciplinesIn 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 disseminatio