Machine Learning Scientist

BioTalent; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

BioTalent is an innovative biotechnology company leveraging state-of-the-art artificial intelligence to advance biological research in the United States. This role offers a unique opportunity to join a highly technical and mission-driven environment where machine learning sits at the core of scientific innovation.

The Machine Learning Scientist will design, develop, and deploy deep learning models for biological applications, collaborating with scientists, engineers, and researchers to translate

Qualifications

• Strong expertise in machine learning theory and practice
• Hands-on experience with modern deep learning frameworks
• Ability to apply techniques to complex biological datasets

Responsibilities

• Design, develop, and optimise deep learning models for biological and biomedical applications.
• Contribute to the development of large-scale foundation models and representation learning approaches.
• Apply machine learning techniques to complex multimodal biological datasets.
• Train, evaluate, and deploy models using modern ML infrastructure and best practices.
• Collaborate with computational biologists, researchers, and software engineers to translate scientific problems into machine learning solutions.
• Stay current with emerging research in machine learning, generative AI, and computational biology.
• Present findings and technical insights to both technical and non-technical stakeholders.

Job description

Our client is an innovative biotechnology company leveraging cutting-edge artificial intelligence to build next-generation foundational models and deep learning systems.

This is an opportunity to join a highly technical and mission-driven environment where machine learning is at the core of scientific innovation.

The Role

We are seeking a Machine Learning Scientist to contribute to the development of advanced deep learning and foundation model technologies for biological applications. You will work at the intersection of machine learning and life sciences, collaborating closely with scientists, engineers, and research teams to build and deploy state-of-the-art AI models.

The successful candidate will bring strong expertise in machine learning theory and practice, hands-on experience with modern deep learning frameworks, and the ability to apply these techniques to complex biological datasets.

Key Responsibilities

• Design, develop, and optimise deep learning models for biological and biomedical applications.
• Contribute to the development of large-scale foundation models and representation learning approaches.
• Apply machine learning techniques to complex multimodal biological datasets.
• Train, evaluate, and deploy models using modern ML infrastructure and best practices.
• Collaborate with computational biologists, researchers, and software engineers to translate scientific problems into machine learning solutions.
• Stay current with emerging research in machine learning, generative AI, and computational biology.
• Present findings and technical insights to both technical and non-technical stakeholders.