Flagshippioneeringinc
Principal ML Scientist, Multimodal Biological Reasoning
Cambridge, MA USA · Principal
Sponsorship not specified$216k-$297kDetected 7 days ago
Machine LearningData ScienceLLMsComplianceRecruitingBioinformaticsResearch
About the role
- You will work with teams in Pioneering Intelligence and Flagship-at-large to apply our reasoning engines to discover new biology and engineer new biological solutions through massively parallel in-silico reasoning.
Responsibilities
- Own the roadmap: lead the project from architecture and data exploration through model readiness, benchmarking, refinement, and agentic integration.
- Guide technical architecture through a biological lens: guide multi-modal, multi-scale model design and ensure the system can ingest and reason over modalities relevant to mechanism-of-action reasoning, target discovery, perturbation biology, pathway reasoning, protein function, and autonomous discovery workflows.
- Build the engine for a novel science platform: develop and integrate reasoning engines into Pioneering Intelligence's AI Scientist platform for autonomous science.
- Source and shape portfolio use cases: interface with Flagship teams and portfolio company end-users to identify use cases, source data assets, define success criteria, and create end-user feedback loops for reasoning engines that are scientifically meaningful, tractable, and answer high-value questions with real world application.
- lead the project from architecture and data exploration through model readiness, benchmarking, refinement, and agentic integration.
- guide multi-modal, multi-scale model design and ensure the system can ingest and reason over modalities relevant to mechanism-of-action reasoning, target discovery, perturbation biology, pathway reasoning, protein function, and autonomous discovery workflows.
- develop and integrate reasoning engines into Pioneering Intelligence's AI Scientist platform for autonomous science.
- As Lead, you will have the unique opportunity to shape our biological reasoning efforts on both the technical and application levels.
- You will have the opportunity to originate and lead multiple projects in this space over time.
Requirements
- Experience in biotech, pharma, AI-for-science, AI drug discovery, venture creation, or a platform organization serving multiple scientific programs.
- Experience deploying AI/ML for biology systems into scientific workflows at enterprise scale.
- Experience with LLMs, biological foundation models, protein language models, genomic foundation models, scientific agents, or AI discovery platforms.
- If you have some of the experience listed above but not all, please apply anyway.
- Deep experience in computational biology, AI-for-biology, AI-enabled drug discovery, translational data science, biological foundation models, or scientific discovery platforms.
- Demonstrated ability to work with scientists or biotech teams to scope high-value use cases, identify data assets, define success criteria, and translate discovery needs into technical execution plans.
- Working knowledge of biological data modalities such as genomics, transcriptomics, perturbation data, protein sequence, protein structure, pathways, imaging, pathology, or time-series biological data.
- Experience leading small, high-caliber technical teams through ambiguous scientific or product problems.
- Ability to communicate clearly with ML researchers, data engineers, portfolio-company scientists, executives, and venture creation leaders.
- Industry-leading expertise in modern LLMs, multimodal modeling, representation learning, fine-tuning, post-training, benchmarking, and ML systems.
- Strong judgment around mechanism-of-action reasoning, target discovery, perturbation biology, scientific credibility, model limitations, hallucination risk, interpretability, and validation.
- Comfort operating in an entrepreneurial environment where the goal is not only to build a model, but to create a new capability that can reshape company creation and scientific discovery.
Compensation
- Pioneering Intelligence currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits.
Benefits
- You will be a hands-on lead for a team of talented machine learning scientists innovating on model architectures that will create best-in-class biological reasoning engines.
- Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond.
- vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.
Company info
- interface with Flagship teams and portfolio company end-users to identify use cases, source data assets, define success criteria, and create end-user feedback loops for reasoning engines that are scientifically meaningful, tractable, and answer high-value questions with real world application.
Visa & Work Authorization
- California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information.
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