Principal Machine Learning Engineer

iO Associates is delighted to be supporting this pioneering venture-backed company at the forefront of transforming biology with AI. With a successful recent funding, they are leading the way in decoding the language of cells for impactful therapeutic solutions.

Spearheaded by respected individuals and a highly reputable founding team, our client's platform is revolutionizing therapy creation through data-driven insights in Boston.

Role Summary: Join Our Client as a Principal Machine Learning Engineer to drive the development of foundational models for single-cell RNA sequencing data. In collaboration with a talented team of machine learning researchers and computational biologists, you will contribute to cutting-edge AI solutions and shape the core infrastructure behind the cell-replacement therapy platform. This role offers an exciting opportunity for individuals passionate about applying machine learning to address complex biological challenges.
Responsibilities:

• Lead the development of machine learning models for biological data, spanning from research to production deployment


• Design, train, and optimize foundational models tailored for single-cell RNA sequencing and other high-dimensional omics data


• Construct scalable pipelines for training and inference across vast biological data sets


• Collaborate closely with computational biologists to ensure models yield biologically relevant outputs


• Create and deploy novel deep learning architectures, including transformer-based models customized for biological data

Essential Skills & Experience:

• 7+ years of experience in machine learning, deep learning, and large-scale data analysis, particularly in biological contexts


• Master's degree or higher in Computer Science, Artificial Intelligence, Computational Biology, or related fields


• Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow


• Demonstrated expertise in developing large-scale models, including transformer-based architectures


• Proven track record of independent research, from prototyping to production


• Enthusiasm for AI-driven biology and its immense potential in health care transformation

Desirable Skills & Experience:

• Extensive background in biological research and modeling, with a focus on single-cell RNA sequencing data preferred


• 3+ years of professional software engineering experience in an industry setting


• Familiarity with reinforcement learning techniques such as RLHF, PPO


• Prior exposure to start up environments with a self-directed, proactive work style

This is a fantastic opportunity to join a growing Boston based biotech, applicants must be based or commutable to Boston.