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.
FAQs
Congratulations, we understand that taking the time to apply is a big step. When you apply, your details go directly to the consultant who is sourcing talent. Due to demand, we may not get back to all applicants that have applied. However, we always keep your CV and details on file so when we see similar roles or see skillsets that drive growth in organisations, we will always reach out to discuss opportunities.
Yes. Even if this role isn’t a perfect match, applying allows us to understand your expertise and ambitions, ensuring you're on our radar for the right opportunity when it arises.
We also work in several ways, firstly we advertise our roles available on our site, however, often due to confidentiality we may not post all. We also work with clients who are more focused on skills and understanding what is required to future-proof their business.
That's why we recommend registering your CV so you can be considered for roles that have yet to be created.
Yes, we help with CV and interview preparation. From customised support on how to optimise your CV to interview preparation and compensation negotiations, we advocate for you throughout your next career move.