Graduate Intern for Deep Learning in Protein Design

Manus works across industries and value chains to accelerate the transition to BioAlternatives – better performing and more sustainable versions of complex molecules traditionally sourced from plants, animals, or fossil fuels. Our platform is proven to work across scales, bridging the Valley of Death between lab and manufacturing more efficiently and more reliably to deliver the benefits of synthetic biology today.

We are seeking a motivated individual for a Graduate Intern for Deep Learning in Protein Design that will aim to tackle the challenges of protein engineering. The candidate ideally should have experience in applying deep learning (DL) techniques on biological problems preferably adjacent to or of protein engineering. The intern will be able to hone their skills of programming, deep learning and protein engineering while contributing significantly to Manus’ efforts to enable industrial level efficiency in natural enzymes for producing more sustainable BioAlternative products.

Why work at Manus:

· Opportunity – For motivated, results-oriented team members, our growth creates opportunities for personal and professional advancement.

· Accountability – You are given the resources you need to succeed and the freedom to make it happen; in return, we hold each other accountable for our high expectations.

· Passion – We love what we do and enjoy working with others who feel the same way. We embrace the challenge and hard work that comes with working on the cutting edge.

Responsibilities:

• Support in developing and deploying deep learning models to predict and optimize enzymes in microbial systems
• Benchmark DL models on proprietary and public datasets for thorough evaluation and reporting
• Communicate results and insights to multidisciplinary teams, including presentations and written reports

Required qualifications:

• Currently enrolled in a PhD program in Computer Science or BioEngineering or similar programs with emphasis on AI applications in Biological systems
• Proven experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries.
• Proficiency in programming languages such as Python
• Excellent verbal and written communication skills

Preferred qualifications:

· Familiarity with protein engineering (eg. Directed evolution, ML/AI-led)

· Familiarity with protein language models and similar transformer-based models

· Familiarity with benchmarking techniques and public datasets for protein sequence to function relationship

· Experience in industrial biotechnology or a related industry

Preferred Working Style:

· Must be very well-organized and be able to handle multiple projects simultaneously.

· Must be a quick learner who is self-motivated and able to ask questions and seek clarity.

· Must be flexible with day-to-day duties and able to thrive in a start-up environment.

· Must be an excellent team member with strong communication skills and a desire to work collaboratively.

· Must hold themselves to the highest professional, scientific and ethical standards.