ProFound Therapeutics is pioneering the discovery of the expanded human proteome to unlock a new universe of potential therapeutics. They are seeking a highly motivated Senior Machine Learning ...
Profound Therapeutics
1 job near Columbus, OH
ProFound Therapeutics is pioneering the discovery of the expanded human proteome to unlock a new universe of potential therapeutics. They are seeking a highly motivated Senior Machine Learning ...
Full-time
Posted 7 days ago
Job description
Job Summary:
ProFound Therapeutics is pioneering the discovery of the expanded human proteome to unlock a new universe of potential therapeutics. They are seeking a highly motivated Senior Machine Learning Engineer / Data Scientist to join their AI/ML team, focusing on designing and implementing advanced AI/ML systems to support therapeutic discovery and development.
Responsibilities:
• Architect and implement scalable RAG and LLM-based systems that integrate multi-modal data sources, including knowledge graphs, documents, and structured biological datasets.
• Design and deploy RAG and graph-based RAG pipelines that leverage LLMs and knowledge graphs to retrieve, reason over, and synthesize complex biological information.
• Build and maintain agentic orchestration frameworks (multi-agent systems) that coordinate LLM-based agents for end-to-end scientific reasoning, data retrieval, and decision support.
• Collaborate with data engineering teams to design data pipelines that harmonize and prepare large-scale omics datasets for model training.
• Develop and optimize conversational AI (chatbot) interfaces that enable scientists and stakeholders to query, explore, and interact with internal data and model outputs using natural language.
• Partner with experimental scientists to ensure model outputs are biologically interpretable and experimentally testable.
• Stay abreast of advances in LLMs, RAG architectures, agentic AI, and conversational AI; bring innovative ideas into the team.
Qualifications:
Required:
• Ph.D. in Computer Science, Machine Learning, Applied Mathematics, Computational Biology, or related field with 1–3 years of industry experience (preferred); or M.S. in a related field with 4–6 years of industry experience.
• Proven track record in building LLM-based applications, with hands-on expertise in RAG, graph-based RAG, agentic orchestration, and/or chatbot development.
• Proficiency in Python and LLM/ML frameworks such as LangChain, Hugging Face Transformers, PyTorch, or similar.
• Strong experience with knowledge graph technologies, graph databases, and vector databases.
• Demonstrated ability to work in cross-disciplinary teams, communicate complex ideas clearly, and deliver results in fast-moving environments.
Preferred:
• Experience working with multi-omics or high-dimensional biological data is a plus.
• Familiarity with probabilistic modeling, causal reasoning, or statistical inference is a plus.
Company:
ProFound Therapeutics is creating profound impacts on the understanding of biology and disease and the ability to create therapeutics. Founded in 2019, the company is headquartered in Cambridge, USA, with a team of 11-50 employees. The company is currently Early Stage.
ProFound Therapeutics is pioneering the discovery of the expanded human proteome to unlock a new universe of potential therapeutics. They are seeking a highly motivated Senior Machine Learning Engineer / Data Scientist to join their AI/ML team, focusing on designing and implementing advanced AI/ML systems to support therapeutic discovery and development.
Responsibilities:
• Architect and implement scalable RAG and LLM-based systems that integrate multi-modal data sources, including knowledge graphs, documents, and structured biological datasets.
• Design and deploy RAG and graph-based RAG pipelines that leverage LLMs and knowledge graphs to retrieve, reason over, and synthesize complex biological information.
• Build and maintain agentic orchestration frameworks (multi-agent systems) that coordinate LLM-based agents for end-to-end scientific reasoning, data retrieval, and decision support.
• Collaborate with data engineering teams to design data pipelines that harmonize and prepare large-scale omics datasets for model training.
• Develop and optimize conversational AI (chatbot) interfaces that enable scientists and stakeholders to query, explore, and interact with internal data and model outputs using natural language.
• Partner with experimental scientists to ensure model outputs are biologically interpretable and experimentally testable.
• Stay abreast of advances in LLMs, RAG architectures, agentic AI, and conversational AI; bring innovative ideas into the team.
Qualifications:
Required:
• Ph.D. in Computer Science, Machine Learning, Applied Mathematics, Computational Biology, or related field with 1–3 years of industry experience (preferred); or M.S. in a related field with 4–6 years of industry experience.
• Proven track record in building LLM-based applications, with hands-on expertise in RAG, graph-based RAG, agentic orchestration, and/or chatbot development.
• Proficiency in Python and LLM/ML frameworks such as LangChain, Hugging Face Transformers, PyTorch, or similar.
• Strong experience with knowledge graph technologies, graph databases, and vector databases.
• Demonstrated ability to work in cross-disciplinary teams, communicate complex ideas clearly, and deliver results in fast-moving environments.
Preferred:
• Experience working with multi-omics or high-dimensional biological data is a plus.
• Familiarity with probabilistic modeling, causal reasoning, or statistical inference is a plus.
Company:
ProFound Therapeutics is creating profound impacts on the understanding of biology and disease and the ability to create therapeutics. Founded in 2019, the company is headquartered in Cambridge, USA, with a team of 11-50 employees. The company is currently Early Stage.