Computational Biologist — Protein Design for Cancer

Waypoint Bio; New York (NY); On-site; USD 110,000 - 150,000; Full time

Job summary

Waypoint Bio in New York, NY is seeking a highly motivated computational biologist to design thousands of synthetic protein sequences using in silico folding models and a high-throughput spatial pooled screening platform. You will apply machine learning and robust software engineering to evaluate candidates for in vitro and in vivo testing.

The ideal candidate will have deep knowledge of protein folding, strong ML/AI skills, and the ability to work independently and collaboratively in a

Qualifications

• PhD or equivalent research experience in computational biology, bioinformatics, computer science, data science, AI/ML, statistics, structural biology, or a related quantitative field.
• Experience with protein structure design.
• Understanding of the fundamentals of molecular and cellular biology.
• Proficiency with scientific computing in Python/R and relevant libraries (e.g. numpy, scikit-learn, pandas, pytorch).
• Experience with machine learning, esp. deep learning.
• Ability to optimize code for speed and efficiency.
• Ability to learn quickly, prioritize multiple tasks in accordance with changing responsibilities, and work in a fast-paced environment.
• Clear and precise technical communication.

Responsibilities

• Design thousands of novel synthetic proteins that accomplish specific goals using in silico folding models and other technologies.
• Build computational methods to evaluate potential protein candidates to filter those worth testing in vitro and in vivo.
• Connect structure to function. Mine our growing dataset of spatially resolved, in vivo screening data to learn what structural features actually drive behavior in a tumor.
• Collaborate with experimental biologists to design the screens to test designs, and to translate what comes back into the next hypothesis.

Skills

Python

R

Machine learning

Deep learning

Code optimization

Technical communication

Education

PhD or equivalent research experience in computational biology, bioinformatics, computer science, data science, AI/ML, statistics, structural biology, or a related quantitative field

Tools

NumPy

scikit-learn

pandas

PyTorch

Job description

Waypoint Bio in New York, NY is seeking a highly motivated computational biologist to design thousands of synthetic protein sequences using in silico folding models and a high-throughput spatial pooled screening platform. You will apply machine learning and robust software engineering to evaluate candidates for in vitro and in vivo testing.

The ideal candidate will have deep knowledge of protein folding, strong ML/AI skills, and the ability to work independently and collaboratively in a