{"id":1253274,"url":"https://alion.io/job/astar-principal-scientist-computing-intelligence-iaic-2","title":"Principal Scientist, Computing & Intelligence, IAIC","company":{"id":50235,"name":"Agency for Science, Technology and Research","domain":"a-star.edu.sg","url":"https://alion.io/company/a-star-edu","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Science & Research","role_family":"Science & Research","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Explainable AI","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-25T18:38:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-30T00:49:27Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Summary\nAbout the Role\nThe Institute of Advanced Intelligence and Computing (IAIC), A*STAR, is seeking a highly motivated Research Scientist to conduct cutting-edge research in Healthcare AI Safety, Trustworthy AI, and Responsible AI Systems.\nThe successful candidate will lead the development of methodologies, frameworks, and technologies that ensure AI systems are safe, reliable, robust, transparent, and clinically trustworthy for deployment in healthcare settings. The role will focus on advancing AI safety research while enabling the responsible translation of AI innovations into clinical practice and healthcare operations.\nKey Responsibilities\nResearch & Innovation\nConduct original research in Healthcare AI Safety, Trustworthy AI, Machine Learning, and Artificial Intelligence.\nDevelop novel methodologies and frameworks in areas such as:\nAI Safety and Alignment\nTrustworthy and Responsible AI\nExplainable and Interpretable AI\nAI Evaluation and Benchmarking\nRobustness and Reliability\nHuman-AI Collaboration\nAI Governance and Risk Management\nDesign techniques for detecting, mitigating, and monitoring AI failures, biases, hallucinations, and unsafe behaviors.\nDevelop methods for uncertainty quantification, confidence estimation, and risk-aware decision-making.\nDevelop safety frameworks for foundation models, large language models, multimodal AI systems, and agentic AI systems used in healthcare.\nDesign methodologies to evaluate clinical safety, reliability, fairness, and generalizability of AI systems across diverse patient populations and healthcare settings.\nDevelop monitoring systems for post-deployment surveillance, model drift detection, and continuous safety assessment.\nBuild mechanisms for human oversight, escalation, and safe human-AI collaboration in clinical workflows.\nDevelop evaluation frameworks for clinical decision support systems, healthcare copilots, and autonomous healthcare agents.\nAdvance approaches for safeguarding patient privacy, data security, and responsible use of healthcare data.\nTranslational AI Safety\nCollaborate with clinicians, healthcare providers, regulators, policymakers, and industry partners to support safe deployment of AI systems.\nContribute to healthcare AI governance frameworks, safety standards, regulatory science, and best practices.\nTranslate AI safety research into practical tools, platforms, and operational frameworks for healthcare organizations.\nSupport technology transfer, intellectual property generation, and commercialization opportunities.\nScientific Leadership\nPublish high-impact research in leading AI, machine learning, healthcare, and AI safety conferences and journals.\nContribute to grant proposals, project planning, and strategic research initiatives.\nMentor junior researchers, engineers, and students.\nRepresent IHPC in collaborations with healthcare institutions, government agencies, regulators, and industry partners.\nRequirements\nEssential\nPhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Biomedical Informatics, Healthcare Informatics, or a related discipline.\nStrong track record in AI/ML research demonstrated through publications, patents, or impactful projects.\nStrong programming skills in Python and modern machine learning frameworks such as PyTorch or TensorFlow.\nExperience developing and evaluating machine learning and deep learning models.\nStrong interest in AI safety, responsible AI, healthcare applications, and trustworthy AI systems.\nPreferred\nExperience in one or more of the following areas:\nAI Safety and Alignment\nTrustworthy and Responsible AI\nExplainable AI (XAI)\nFoundation Models and Large Language Models\nAgentic AI Systems\nHealthcare AI and Clinical Decision Support\nAI Evaluation and Benchmarking\nHuman Factors and Human-AI Interaction\nRegulatory Science and AI Governance\nHealthcare Data Privacy and Security\nWhat We Offer\nOpportunity to shape the future of safe, trustworthy, and responsible AI in healthcare.\nAccess to world-class computational infrastructure, healthcare datasets, and research facilities.\nCollaboration with leading AI researchers, clinicians, healthcare providers, regulators, and industry partners.\nA dynamic environment supporting both fundamental AI safety research and real-world deployment.\nOpportunities to influence national and international healthcare AI safety standards and frameworks","description_format":"text","description_chars":4389,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Clinical Decision Support"],"lifecycle":[{"event":"open","at":"2026-09-25T18:38:00Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":32,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/astar-principal-scientist-computing-intelligence-iaic-2","json_url":"https://alion.io/job/astar-principal-scientist-computing-intelligence-iaic-2.json","meta":{"generated_at":"2026-09-30T02:48:05Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2018,"day_limit":5000,"remaining_today":2982,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}