Chief AI officer

Page Executive

  • Shanghai
  • Permanent
  • Full-time
  • 24 days ago
  • Apply easily
Key Responsibilities
  • AI Strategy & Leadership
  • Define and execute the company's AI road map in alignment with scientific and commercial goals.
  • Build, lead, and mentor a multidisciplinary AI team combining expertise in computational biology, machine learning, and structural bioinformatics.
  • Foster collaboration between AI, wet lab, and clinical research teams.
  • Research & Development
  • Drive development of protein folding prediction models, including integrating AlphaFold-like architectures and beyond.
  • Oversee target discovery & design through large-scale multi-omics analysis, molecular docking simulations, and de novo antibody engineering.
  • Advance affinity prediction algorithms to optimize binding strength, specificity, and manufacturability of therapeutic antibodies.
  • Lead integration of generative AI models for molecular design and optimization.
  • Technology & Infrastructure
  • Establish scalable AI computing infrastructure and data pipelines for multi-terabyte biological datasets.
  • Evaluate and integrate cutting-edge open-source and proprietary AI tools into R&D workflows.
  • Ensure robust IP protection for AI-driven discoveries.
  • Partnerships & Innovation
  • Build collaborations with academic institutions, technology companies, and research consortia.
  • Stay at the forefront of AI advancements in structural biology, computational chemistry, and bioinformatics.
MPI does not discriminate on the basis of race, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, or based on an individual's status in any group or class otherwise protected under applicable human rights legislation. MPI encourages applications from minorities, women, the disabled and all other qualified applicantsThis is a HK-Listed Global Pharmaceutical companyThis company`s prosperity antibody platform is unique and efficientQualifications
  • Education: PhD in Computational Biology, AI/ML, Bioinformatics, Biophysics, or related field.
  • Experience:
  • 10+ years in AI/ML R&D, with at least 5 years in a leadership role in life sciences or biotech.
  • Proven track record in protein structure prediction, antibody design, or related computational drug discovery.
  • Strong understanding of deep learning architectures, generative modeling, and molecular dynamics simulations.
  • Skills:
  • Expertise in Python, TensorFlow/PyTorch, molecular modeling software (e.g., Rosetta, Schrödinger), and structural databases (e.g., PDB).
  • Demonstrated ability to translate AI models into real-world therapeutic advancements.
  • Excellent communication and leadership skills, with a global perspective.
  • Language: Proficiency in English and Mandarin.
This is a global bio-pharmaceutical company committed to the discovery, development and commercialization of novel antibody therapeutics focusing on immunology and oncology.
  • Salary in the range of $450000 to $500000 USD annually.
  • Opportunity to work in a forward-thinking company within the life sciences industry.
  • Collaborative and innovative work environment in Shanghai, Netherlands, Boston
If you are passionate about artificial intelligence and its potential to revolutionize the life sciences industry, we encourage you to apply for this exciting opportunity.

Page Executive