1 день назад
Sr. Scientist, Protein Design (AI)
130 800 - 209 400$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Sr. Scientist, Protein Design (AI): Designing and validating de novo antibodies, binders, and antigens for mRNA therapeutics with an accent on generative protein design, structure prediction, and developability analysis. Focus on building agentic AI frameworks, integrating computational workflows with wet-lab testing, and optimizing affinity, specificity, stability, expression, and developability.
Location: Cambridge, Massachusetts, United States. Only U.S. persons are eligible due to U.S. export control requirements.
Salary: $130,800–$209,400 per year, with potential eligibility for discretionary bonus, incentive compensation, or equity.
Company
develops mRNA technology and medicines, including biologics and next-generation therapeutic systems.
What you will do
- Apply AI-enabled protein design workflows to generate and prioritize de novo antibodies, binders, and antigen designs.
- Use structure prediction, generative design, sequence design, docking, scoring, and developability analysis for therapeutic targets.
- Build and maintain AI protein design frameworks, including model training and inference, automated design generation, filtering, scoring, and prioritization.
- Collaborate with experimental teams to interpret screening, selection, and biophysical data and drive iterative design cycles.
- Develop multi-agent systems and closed-loop computational design and wet-lab testing workflows.
- Establish benchmarking standards and contribute to cross-functional protein design strategy.
Requirements
- PhD in biophysics, biochemistry, structural biology, computational biology, or a related field.
- Extensive post-PhD experience at the Senior Scientist level in computational protein design.
- Hands-on experience with computational protein design, structural modeling, applied machine learning, or a related field.
- Strong publication or patent record demonstrating impact in protein design, structural biology, or applied machine learning.
- Experience with tools and methods such as RFdiffusion, ProteinMPNN, AlphaFold-family methods, Rosetta, protein language models, or related generative approaches.
- Strong independent, collaborative, critical-thinking, troubleshooting, and problem-solving abilities.
Nice to have
- Experience scaling workflows on HPC or cloud infrastructure, including distributed computing, workflow orchestration, and containerization.
Culture & Benefits
- Healthcare and voluntary benefit programs.
- Fitness, mindfulness, and mental health resources.
- Family planning support, including fertility, adoption, and surrogacy benefits.
- Paid vacation, volunteer days, sabbatical, global recharge days, and year-end shutdown.
- Savings and investment programs, plus location-specific benefits.
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