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.