Deep Learning Scientist II: Immunotherapy AI for TCR-pMHC

Repertoire-Immune-Medicines; Watertown (MA); On-site; USD 150,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Flexible time off

401(k) plan

Bonus opportunities

Job summary

Repertoire Immune Medicines is seeking a Deep Learning Scientist II to accelerate discovery and development of transformative therapeutics, leveraging proprietary datasets on TCR-pMHC interactions. You will join the Artificial Immune Intelligence Team to design, train, and apply advanced AI methods to protein engineering challenges.

The role involves close collaboration with wet-lab scientists, focusing on model development, evaluation, and deployment within a fast-paced research environment.

Qualifications

• PhD in computer science, computational biology or a related quantitative field.
• 2-5 years of industry experience in protein engineering and design.
• Experience training and fine-tuning protein language models (PLMs) and structure-prediction models.
• Ability to reason about protein-protein interactions with physics-based methods and ML.
• Strong programming in Python with multi-GPU training.
• Experience modeling high-dimensional biological data.
• Experience with TCR-pMHC binding is a plus.
• Intellectual curiosity and fast-paced environment.

Responsibilities

• Develop deep learning approaches spanning protein language models, structural modeling, and multi-modal representation learning to reason about the TCR-pMHC synapse.
• Apply problem-appropriate machine learning, statistics, computational biology, and data science techniques, working closely with wet-lab scientists to understand assay technologies.

Skills

Python

Protein language models

Multi-GPU training

Deep learning

Education

PhD in CS

Computational Biology

Tools

Structure prediction models

Applied AI pipelines

Job description

Repertoire Immune Medicines is seeking a Deep Learning Scientist II to accelerate discovery and development of transformative therapeutics, leveraging proprietary datasets on TCR-pMHC interactions. You will join the Artificial Immune Intelligence Team to design, train, and apply advanced AI methods to protein engineering challenges.

The role involves close collaboration with wet-lab scientists, focusing on model development, evaluation, and deployment within a fast-paced research environment.