AI/ML Platform Architect

At ThinkBio.Ai we are adding Intelligence to Digital Biology. We leverage our deep expertise in Biotech, Pharma, Health Sciences, and AI, along with our experience in software development to provide platforms, toolkits, and solutions. Excellent opportunities are available to engage in cutting edge research using engineered biology-based approaches and frontier emerging areas of synthetic biology, to create transformative contributions in human drug discovery and development. We are looking for an enthusiastic and energetic AI/ML scientist with a passion for learning and impacting human lives through scientific discoveries.

Job Description

• Help architect, design and implement ThinkBio.Ai AI insight and data platforms; design agentic architecture for the AI platform
• Evaluate and analyze foundation models for protein structure, clinical data, genomic data and small molecule data; fine tune foundation models. Design loss functions relevant to biological applications
• Design scalable data models for multi-modal biological data
• Create a componentized architecture with component level structured APIs
• Design and implement knowledge graphs for biological data; apply deep learning based methods to create representations from knowledge graphs
• Work closely with other team members and partners to identify most critical data centered challenges and address them using cutting-edge computational, statistical and machine learning applications

Required Qualifications and Skills

• Ph.D. in Computer science, AI/ML, Mathematics/Statistics
• 10+ years’ experience and technical expertise in AI platforms, data platforms, deep learning models
• Solid understanding of computer science fundamentals
  • data structures: trees, directed and undirected graphs, hash tables, heaps
  • algorithms: search, sort, rank, graph based algorithms
• Solid understanding of statistical/mathematical concepts
  • probability theory
  • correlation metrics
  • Bayesian probability
  • Statistical regression methods
• Good understanding of GPU architectures – CUDA
• Proficiency in Python, C, C++
• Expertise in AI frameworks: PyTorch, TensorFlow
• Exposure to agentic frameworks like LangChain and LlamaIndex
• Firm grasp of modern statistical methods and machine learning techniques, and their applications to large-scale, data
• Ability to manage projects with minimal supervision, using creative and analytical thinking.
• Ability to drive highly collaborative work across the organization and outside the company
• Excellent oral and written communication skills

Preferred skills

• Experience and understanding of how bioinformatics and data science can best be applied to speed up drug discovery
• Basic understanding of biological concepts and a familiarity with drug development process
• Knowledge of bioinformatic tools and databases to analyze genomics and proteomics data