AI Research Scientist (r2)

Merck Merck · Pharma · Singapore

AI Research Scientist with 1-2+ years of experience in healthcare IT, focusing on research, assessments, and technical evaluations of AI models and frameworks to solve internal problems and enhance generative AI capabilities. The role involves creating proof-of-concepts, staying updated on AI research, and mentoring colleagues. Requires a strong understanding of AI research landscape, hands-on Python development, and familiarity with GenAI, deep learning, NLP, CV, and ML frameworks, preferably within a cloud environment.

What you'd actually do

  1. Perform research, assessments, and technical evaluations of AI models, methods, and frameworks to solve problems or derive benefits to company AI capabilities and generative AI program
  2. Conduct feasibility studies and create working proof of concepts for use-cases by exploring applications of AI to internal problems and datasets to de-risk AI engineering delivery
  3. Participate in internal professional communities of practice and mentor colleagues to raise artificial intelligence and data science maturity within the company
  4. Assist in technical training to up-skill colleagues to raise the data science competency levels within the company
  5. Proactively scan and keep up to date with AI research

Skills

Required

  • Artificial Intelligence (AI)
  • Bioinformatics
  • Communication
  • Computer Science
  • Computer Vision
  • Data Analysis
  • Data Science
  • Deep Learning
  • Foster Innovation
  • Generative AI
  • Global Team Collaboration
  • Image Processing
  • Information Communication Technology (ICT)
  • Interpersonal Communication
  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Personal Development Planning
  • Professional Development
  • Scanning
  • Scientific Research
  • Software Development
  • Team Collaboration

Nice to have

  • Familiarity with developing and deploying within a cloud-based infrastructure and services (AWS or MS Azure environment)
  • Domain knowledge in pharmaceutical business areas such as research, clinical, manufacturing, or commercial

What the JD emphasized

  • AI Research Scientist
  • 1-2+ years' experience
  • research
  • assessments
  • technical evaluations
  • AI models
  • methods
  • frameworks
  • generative AI
  • proof of concepts
  • internal problems
  • datasets
  • AI engineering delivery
  • AI research landscape
  • research publications
  • generative AI
  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Computer Vision (CV)
  • Python scientific computing stacks
  • GenAI
  • deep learning
  • NLP
  • CV
  • ML frameworks

Other signals

  • research
  • assessments
  • technical evaluations
  • AI models
  • methods
  • frameworks
  • generative AI
  • intelligent agents
  • proof of concepts
  • internal problems
  • datasets
  • AI engineering delivery
  • AI research landscape
  • research publications
  • generative AI
  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Computer Vision (CV)
  • Python scientific computing stacks
  • GenAI
  • deep learning
  • NLP
  • CV
  • ML frameworks
  • cloud-based infrastructure
  • AWS
  • MS Azure