Postdoctoral Fellow

Job Description

Minimum Qualification

• PhD in Artificial Intelligence, Data Science, Computer Science, Bioinformatics, or a closely related quantitative field.
• Proven track record of research productivity demonstrated by first-author publications in peer-reviewed journals or top-tier conferences (e.g., NeurIPS, CVPR).
• Technical Expertise: o Strong foundational and practical knowledge of AI, ML, and NLP techniques. o Proven proficiency in Python programming and experience with data science frameworks. o Experience with LLMs, NLP, or multimodal data integration is highly preferred.

Preferred Qualification

• PhD in Artificial Intelligence, Data Science, Computer Science, Bioinformatics, or a closely related quantitative field.
• Proven track record of research productivity demonstrated by first-author publications in peer-reviewed journals or top-tier conferences (e.g., NeurIPS, CVPR).
• Technical Expertise: o Strong foundational and practical knowledge of AI, ML, and NLP techniques. o Proven proficiency in Python programming and experience with data science frameworks. o Experience with LLMs, NLP, or multimodal data integration is highly preferred.

Expected Skills

• Excellent analytical, algorithmic, and problem-solving skills.o Strong communication skills (both written and verbal) in English, with the ability to present complex technical ideas to clinical communities.o Demonstrated leadership and interpersonal skills, with a track record of mentoring junior researchers or graduate students.o Proven ability to work independently, manage multiple priorities, and meet project milestones within a one-year timeline.o High level of organizational skill and focused attention to research details.
• Conduct advanced, independent, and collaborative research in ML, NLP, and LLMs with a dedicated focus on rare disease diagnosis.
• Design, implement, and evaluate novel ML models, including LLMs and NLP techniques, customized for clinical datasets.
• Work closely with a collaborative team of PhD students and Research Assistants (RAs), providing technical guidance, hands-on mentorship, and project co-supervision.
• Lead and participate in the planning, designing, and executing of research experiments, ensuring robust statistical validation and analysis of clinical data.
• Translate research outcomes into high-impact publications for top-tier, peer-reviewed journals and present findings at major international conferences.
• Assist faculty members in drafting competitive research grant proposals to secure external funding.
• Actively participate in academic and departmental activities, including seminars, workshops, journal clubs, and cross-inst

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