Senior Machine Learning Research Scientist (Computational Antibody Design)

Location: On premise in Cambridge, Massachusetts, United States. Relocation support may be available based on eligibility and business needs. Permanent U.S. work authorization is required; visa sponsorship is not available.

Annual base salary: $106,000–$176,600, plus a 15% bonus target and eligibility for a share-based long-term incentive program.

Company

hirify.global develops medicines and vaccines through advanced science, research, and technology.

What you will do

• Conduct independent and collaborative research in computational antibody engineering.
• Develop sequence- and structure-based generative models for antibody optimization.
• Build machine-learning methods that balance affinity, stability, and developability constraints.
• Apply computational frameworks to predict antibody developability and affinity using NGS-derived repertoires.
• Collaborate with computational and experimental researchers across computational chemistry, molecular modeling, protein science, and AI.
• Communicate research, publish scientific work, and present findings at conferences.

Requirements

• Ph.D. in computational chemistry, physical or biological sciences, chemical engineering, computer science, or a related discipline.
• Experience with sequence analysis, protein structure modeling, protein language models, and structure-aware predictive or generative modeling.
• Proficiency in Python and scientific computing and machine-learning libraries including NumPy, SciPy, scikit-learn, and PyTorch.
• Experience with GPU-accelerated workloads, high-performance computing environments such as Slurm, performance debugging, and reproducible experiments.
• Demonstrated ability to conduct independent research and produce publication-quality scientific work.
• Must be authorized to work in the United States by any employer and hold permanent U.S. work authorization.

Nice to have

• Experience or interest in antibody design or protein engineering.
• Experience fine-tuning foundation models with small and biased datasets.
• Experience training and deploying models in AWS or GCP.
• Strong publication record and contributions to machine learning research.

Culture & Benefits

• Collaborative research environment with mentorship, knowledge sharing, and autonomy to pursue impactful science.
• 401(k) plan with matching contributions and an additional retirement savings contribution.
• Paid vacation, holidays, personal days, caregiver/parental leave, and medical leave.
• Medical, prescription drug, dental, and vision coverage.