Computational Protein Design Scientist

Job Description: Senior Computational Scientist - Computational Protein Design

Our team is collaborating on an exciting new initiative with a prominent venture partner to build AI-driven platforms that accelerate innovation across the life sciences ecosystem. We are seeking a highly skilled Senior Computational Scientist to join our on-site team in Boston, MA.

Position: Senior Computational Scientist - Computational Protein Design
Location: On-site, Boston, MA
Type: Full-Time

What You'll Do

• Innovative Research & Development: Collaborate with a talented team to identify, create, implement, benchmark, and scale cutting-edge techniques that integrate biophysics and AI for computational protein design, with a focus on therapeutic modalities including antibodies.
• Strategic Project Delivery: Lead projects that develop advanced computational protein design strategies to meet diverse scientific and business challenges.
• Pipeline Development: Design, test, deploy, and maintain high-quality pipelines on cloud infrastructure, ensuring scalable and robust solutions.
• State-of-the-Art Modeling: Benchmark and implement leading models, including tools such as AlphaFold, ESMFold, and RoseTTAFold, to drive forward innovative protein design solutions.

What We're Looking For

Essential Qualifications:

• PhD in biochemistry, biophysics, bioinformatics, computational chemistry, computer science, AI/ML, or a related discipline focused on solving biological problems using computational approaches.
• Demonstrated hands-on experience in developing and implementing novel methods and algorithms for computational protein design.
• Proficiency in programming with languages such as Python, C/C++, or Java.

Preferred Qualifications:

• 3+ years of industry experience in computational protein design or a related field.
• Experience with design and modeling tools such as Rosetta, RFDiffusion, ProteinMPNN, Chroma, etc.
• Background in developing generative AI, structure-, or sequence-based methods for therapeutic protein design.
• Familiarity with training generative AI models, applying bioinformatics approaches to sequence analysis, and managing large databases of protein structures and sequences.
• Experience with modern deep learning frameworks (e.g., PyTorch, JAX, SageMaker) and cloud services (e.g., Git, Docker, AWS Batch, Step Functions, EKS).

Why Join Us?

This is a unique opportunity to be at the forefront of innovation in the life sciences and AI space. You will work with a dynamic team dedicated to pioneering new solutions in computational protein design, directly contributing to transformative projects that impact a broad ecosystem.