Computational Biologist

Responsibilities

• Develop pilot capabilities and create large-scale data pipelines from the ground up
• Collaborate with other teams across Proxima and partnering organizations to achieve project goals by contributing code, analyses, benchmarks, optimizations and ideas to ongoing research-driven projects
• Integrate biological insights into the next generation of AI/ML models for drug discovery
• Validate and interpret computational predictions by working closely with experimentalists

Requirements

• Possess mixed academic and/or industrial experience, preferably in the biotech industry
• Have a strong background in computational structural or systems biology
• Demonstrate strong programming skills in Python, R and/or other languages

Preferred

• Experience with geometric deep learning, graph neural networks, protein language models, transformers and representation learning is a plus
• Preferably have prior exposure to drug discovery problems
• Experience working with cloud-based infrastructure
• Agile project management

About You

Proxima is seeking highly-motivated Computational Biologists interested in building the leading AI-enabled drug discovery platform for novel induced proximity therapeutic modality.

Successful candidates will work closely with the Computational Chemistry, Machine Learning and Application Engineering teams to tap into the wealth of evolutionary, structural and -omics data to unlock the full potential of unified machine learning representations and large-scale geometric deep learning generative models.

Projects may include designing large-scale scientific workflows for mining public and unique in-house data; developing novel systems biology and structural biology computational methods, tools and algorithms; and/or designing, training and fine-tuning best-in-class machine learning models. In our projects we apply induced proximity approaches to some of the most challenging targets considered “undruggable” as well as discover, build and develop novel proximity platforms spanning across multiple targets and disease areas.

We value individuals who want to make an impact, have a deep intellectual curiosity, enjoy solving challenging problems and have a track record of achievement. At Proxima, we believe that success is determined by talent and hard work, and individuals are given equal opportunities to grow and advance based on their abilities and contributions.

Basic Qualifications

• Hold an MSc or PhD degree in computational biology, bioinformatics or a related field
• Experience building reproducible and scalable computational biology workflows
• Experience designing and applying machine learning models

Preferred Qualifications

Full-Time Employees at Proxima enjoy these Perks*:

Highly competitive salaries

Company Equity Package, everyone is a stakeholder!

401(k) + Company Match

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
• 13 Paid Holidays + Unlimited PTO & Sick Time
• Maternity leave 18 Weeks of fully paid leave + 6 weeks for Paternity leave

In-Office Lunch (5 days per week)

*for US based FTEs, country specific benefits apply for locations outside US