Job Description

Are you passionate about the intersection of computational biology, data science, and innovation? We are seeking a Protein Library Design Data Scientist to join our cutting-edge team in advancing protein engineering and biotechnology. This role offers a unique opportunity to blend data-driven methodologies with creative problem-solving to accelerate discoveries that shape the future of science and medicine.

What You'll Do

As a Protein Library Design Data Scientist, you will:

• Innovate and Optimize: Design high-quality protein libraries using advanced algorithms and machine learning techniques to optimize properties like stability, activity, and specificity.
• Collaborate Across Disciplines: Partner with structural biologists, chemists, and computational scientists to develop and refine data-driven workflows.
• Harness Big Data: Analyze massive datasets, including protein sequences and experimental outcomes, to uncover actionable insights for library generation.
• Develop Tools: Build and maintain computational tools to streamline protein design processes and accelerate iterative workflows.
• Push the Boundaries: Stay ahead of emerging trends and technologies in protein engineering, bioinformatics, and AI-driven research.

What You Bring

We’re looking for someone with:

• A strong foundation in computational biology, bioinformatics, or related disciplines.
• Proficiency in programming languages such as Python, R, or similar.
• Experience with machine learning frameworks and their applications in biological datasets.
• A creative approach to solving complex problems, balancing computational rigor with experimental feasibility.
• A collaborative mindset with the ability to communicate complex ideas effectively to both technical and non-technical audiences.

Why Join Us?

• Mission-Driven Work: Contribute to groundbreaking discoveries that have real-world impact in health, sustainability, and beyond.
• Cutting-Edge Resources: Access to state-of-the-art technology and facilities to drive innovation.
• Collaborative Culture: Work in a dynamic, interdisciplinary team where your ideas and expertise are valued.
• Growth Opportunities: Continuous learning through workshops, conferences, and skill-building initiatives.