Pioneering Intelligence is looking to solve business and technical problems by building cutting-edge science and computational ventures, harnessing recent advances in AI, machine learning, and data to accelerate fundamental research and create a portfolio of AI-first companies.
Requirements
- Master’s, or PhD in a relevant field (e.g., machine learning, mathematics, statistics, computational sciences) with 5+ years' experience scientific/engineering/computational in academic, pharmaceutical, or biotechnology settings; industry AI/ML experience preferred.
- Depth across multiple core tools and concepts, including Python; modern ML frameworks (PyTorch or JAX/TensorFlow); version control; databases; deep learning architectures; and relevant informatics software.
- MLOps expertise: data contracts and lineage (e.g., DVC/LakeFS), experiment tracking (MLflow/W&B), secure AWS infrastructure (S3, Batch/ECS/EKS, SageMaker), Docker, IaC (Terraform/CDK), and CI/CD (GitHub Actions).
- Generative modeling (diffusion/flow/VAEs) for sequences, graphs, or 3D structures; docking rescoring (e.g., gnina, DiffDock) and pose quality metrics.
- Workflow orchestration (Airflow/Prefect/Argo), data warehouses (Redshift/Snowflake), vector search (FAISS/pgvector), and lightweight internal tools (FastAPI, Streamlit/Gradio).
- Experience driving results directly or indirectly through teams of engineers/scientists in dynamic, fastpaced, entrepreneurial, and technical environments.
- Clear evidence of sustained independent thought and creativity driving high impact, cross disciplinary AI/ML projects.
Responsibilities
- Define and deliver pragmatic AI strategies
- Oversee method and platform development (e.g., systems design, drug design, molecular modeling, systems biology, protein design, LLM/agentic workflows)
- Ensure rigor in model development, benchmarking, scaling, and reporting
- Take a specialized technical role on project teams to oversee method development, pipeline development, and LLM based agent/workflow design
- Drive benchmarking, scaling, and implementation into production grade systems
- Promote operational excellence in AI projects by educating cross-functional collaborators
- Independently scout emerging literature and the AI/ML landscape
Other
- Lead multiple AI/ML or computational projects across early stage ventures, as a part of Flagship’s company origination process.
- Manage cross functional contributors as applicable, influence company direction, and represent PI to venture teams and external partners.
- Manage and/or coordinate internal and external scientists/engineers and crossfunctional project teams as applicable; mentor early hires; support recruiting and interview.
- Contribute to project planning, including budgets, resources, and timelines; surface risks and tradeoffs early with clear options.
- Represent PI to portfolio companies and external partners; act as a recognized subject matter expert; actively participate in scientific conferences and meetings.
