Faculty Member

3 weeks ago


Bengaluru, Karnataka, India ADMIRE IIHMR Bangalore Full time

IIHMR Bangalore is seeking a highly qualified faculty member for its Postgraduate Diploma in Management (AI & Data Science for Healthcare) program. The faculty member will contribute to teaching, research, and industry collaboration in AI and data Science applications in healthcare. The ideal candidate will have experience in healthcare analytics, AI-driven healthcare solutions, and engagement with healthcare professionals.

The faculty member will also secure funded research projects, develop training programs in emerging areas, and contribute to publications and academic research in the field.

Key Responsibilities:

Teaching & Academic Responsibilities:

  • Deliver lectures in AI, Data Science, and Healthcare Management
  • Develop and revise course curricula for AI-driven healthcare applications
  • Mentor students on dissertations, research projects, and industry collaborations
  • Conduct workshops and training sessions on emerging AI & Data Science applications in healthcare
  • Supervise student projects and industry internships

Research & Publications:

  • Develop and lead funded research projects in AI and Data Science for healthcare applications
  • Publish in high-impact peer-reviewed journals
  • Collaborate with industry partners, hospitals, and government agencies for research initiatives
  • Present research at national and international conferences

Institutional Development:

  • Assist in faculty development and strategic program growth
  • Support in accreditation processes (NBA, AICTE approvals)
  • Contribute to policy advocacy and healthcare AI framework development

Qualifications & Experience:

Educational Qualifications:

  • PhD in AI, Data Science, Healthcare Informatics, or related fields (preferably with healthcare applications)
  • OR PhD in Healthcare Management, Public Health, or Medical Informatics with strong AI & Data Science expertise
  • Master's degree (M.Tech/M.Sc/MBA) in AI, Data Science, Healthcare Informatics, or a related field
  • Candidates registered for PhD with industry experience are eligible to apply
  • As per AICTE guidelines, master's degree holders with 2-3 years of industry experience are eligible for the Assistant Professor role.

Experience:

  • Assistant Professor: 3+ years of experience in academia/research/industry in AI & Data Science for Healthcare
  • Associate Professor: 7+ years of experience, including significant research, publications, and industry engagement
  • Proven experience in handling funded research projects
  • Strong record of peer-reviewed publications and conference presentations
  • Experience working with healthcare professionals, hospitals, or health tech companies

Key Skill Requirements:

  • Supervised & Unsupervised Learning (e.g., Decision Trees, SVM, K-Means, Neural Networks) (Required)
  • Deep Learning & Neural Networks (CNN, RNN, Transformers, BERT for NLP) (Required)
  • Natural Language Processing (NLP) (Text mining, Clinical text processing, Sentiment Analysis) (Required)
  • Computer Vision & Image Processing (Medical Imaging, Radiology AI, Image Segmentation)
  • Statistical Analysis & Predictive Modeling (Hypothesis Testing, Regression Analysis) (Required)
  • Big Data Analytics & Processing (Hadoop, Spark, NoSQL)
  • Data Wrangling & Visualization (Power BI, Tableau, Matplotlib, Seaborn) (Required)
  • Health Informatics & EHR Analytics (FHIR, HL7 Standards) (Advantage)
  • Medical Data Processing (ICD-10/11, SNOMED CT, OMOP)
  • Python (Scikit-learn, TensorFlow, PyTorch) (Required)
  • R (Data Science & Statistical Modelling)
  • SQL & Database Management (PostgreSQL, MongoDB) (Required)
  • Cloud Computing (AWS, Azure, Google Cloud – AI & Healthcare APIs) (Advantage)

Compensation & Benefits:

  • Competitive salary package as per AICTE/Institution norms
  • Research incentives and support for conference participation - IIHMR Bangalore provides seed funding for faculty up to Rs 15,00,000 period of 5 years for undertaking research in an area of interest and organisational priority
  • IIHMR Bangalore has a progressive publication policy with publication rewards for promoting faculty to publish papers to enhance the scientific knowledge of the field
  • Opportunity to work in healthcare AI research with leading experts
  • Access to collaborative research initiatives with industry partners

Interested candidates can share detailed resume to - hr@iihmrbangalore.edu.in and admire.digihealth@iihmrbangalore.edu.in with the subject line "Application for the faculty PGDM-AI and DS - Assistant/Associate Professor"



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