As a Computational Biologist, you will be responsible for evaluating, refining, and applying proprietary generative models to design new proteins for wet lab assays. Your role will involve collaborating with a diverse team of machine learners, protein engineers, and biologists to revolutionize the control of biology and the treatment of diseases. You will play a crucial part in advancing artificial intelligence and its application to scientific challenges.
What the company hiring is looking for
The ideal candidate is a strong scientific programmer with a successful track record in notable science simulations or machine learning projects. You should hold a PhD in computational biology, bioinformatics, or a related field, and have expertise in molecular data analysis using statistical techniques. Additionally, you should be a skillful developer capable of writing robust and maintainable code, with experience in version control and code review systems. Being mission-driven, curious, and adaptable to different methodologies is essential, as is a proven ability to deliver successful research projects.
Qualities/skills that the company hiring is looking for
Strong scientific programming skills
PhD in a relevant field or equivalent industry experience
Expertise in molecular data analysis
Proficiency in software development and version control
Track record of delivering successful research projects
Mission-driven and curious mindset
Ability to thrive in a dynamic environment
What the company hiring is offering
You will have the opportunity to work in a dynamic and innovative environment at the forefront of generative AI models for synthetic biology. The company fosters a culture of relentless curiosity and a drive for positive impact. Additionally, you will have access to cutting-edge technology, collaboration with top-tier professionals, and the chance to contribute to groundbreaking research in the field.
Desirable things the company hiring is looking for
While not required, experience in protein design, bioinformatics, or scaling a biotech startup would set you apart. An academic background in natural sciences such as physics, biology, or chemistry is also preferred. The ability to stay updated on ML developments and gain a strong understanding of protein and cell biology is advantageous.
In this role, you will evaluate generative AI models, guide model improvements, optimize model applications, and stay informed on the latest ML developments. Your contributions will play a vital role in shaping the future of biology and disease treatment.