Eikon Therapeutics is hiring a

Software Engineer, Machine Learning

Hayward, United States

Company Description

Eikon Therapeutics is a new biopharmaceutical company employing revolutionary technology at the interface of chemistry, engineering, computation, and biology to discover novel treatments for life-threatening diseases. Eikon’s discovery platform is built on groundbreaking innovations from its founders (Nobel Prize, 2014), culminating in the creation of microscopes which enable real time, molecular-resolution measurements of protein movement in living cells, thereby unlocking otherwise intractable classes of proteins as drug targets.

The parallel development of custom software solutions commensurate with the groundbreaking nature of this discovery platform, to enable the collection, analysis, and understanding of the large, high-content datasets that these microscopes produce, is key to Eikon’s mission of discovering new life-saving drugs.

About you:

You are an adventurous, passionate and creative machine learning engineer eager to apply your talents to empower interdisciplinary scientific exploration, inaugurate a radical drug-discovery paradigm, and ultimately create novel medicines. You will bring to this challenge enthusiasm, high energy, intellectual curiosity, and scientific rigor. You are excited about being a foundational member of a small but growing team.

As part of Eikon’s diverse team, you will interface with biologists, medicinal chemists, microscopists, and optical and automation engineers to design and deploy computational solutions that enable the exploration and quantification of Eikon’s high-content datasets.

What you'll do:

  • Select the best machine-learning techniques for solving biological image-processing problems
  • Design, develop, optimize, and test scalable machine learning-based algorithms that will enable Eikon’s drug discovery platform
  • Compile datasets for machine learning models, supervise model training
  • Work with biologists to assess and validate model performance
  • Work on multiple projects simultaneously, developing milestones and deadlines in coordination with the broader company goals

Key Qualifications:

  • MS, PhD or equivalent experience in Machine Learning, Computer Science, Statistics, or a related field
  • 3+ years of industry experience developing machine learning software in a scientific or biological domain
  • Strong background in machine learning, particularly as applied to computer vision problems
  • Knowledge of common machine learning frameworks
  • Strong programming skills in Python, C++, or similar languages
  • Expertise in visualizing and manipulating big datasets
  • Demonstrated skills applying numerical methods, statistical signal processing, or machine-learning techniques to high-throughput, performance-critical analysis applications
  • Ability to efficiently investigate and solve problems, from prototype development to production designs
  • Excellent verbal and written communication skills
  • Team oriented, flexible, able to adapt to rapidly evolving goals and challenges

For immediate consideration, please submit your cover letter and resume to: boards.greenhouse.io/eikontx

Eikon is proud to be an equal opportunity employer and will consider all qualified applicants for employment.