Software Engineer 2, Algorithms and Biological Analysis

Eikon Therapeutics is a new biopharmaceutical company employing revolutionary technology at the intersection 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. Position Are you a passionate Software Engineer looking to bring cutting-edge software solutions to drug discovery? Join our mission to bring novel therapeutics to patients and be at the forefront of driving innovation through technology. As a Software Engineer 2, you will leverage your expertise to develop and implement software solutions that drive our groundbreaking scientific initiatives. About You The ideal candidate for this role thrives at the intersection of software and scientific discovery. You are proficient with production-quality Python codebases and can contribute to, maintain, and extend these codebases in a robust and scalable way. At the same time, you understand the fast pace of scientific discovery, and can collaborate with scientists to clarify requirements, focus on result rather than implementation, and keep projects moving forward. You are a strong communicator, especially to non-engineers, as well as a strong team player, always ready to pitch in to help a colleague. You are a continual learner with a growth mindset, eager to learn from your colleagues and expand your talents in a supportive environment and are excited about our mission to bring drugs to patients. What You’ll Do Work with scientists to understand data generated by early drug discovery projects and provide custom analyses and/or production software solutions to answer key questions about the data. Build, maintain, and extend tools that deliver machine-learning-based as well as classical algorithmic solutions to scientists. Contribute to the continuous improvement of software development processes, tools, and methodologies. Conduct thorough code reviews, promoting best practices and identifying opportunities for code optimization and enhancement. Collaborate with team members, sharing insights and fostering a culture of knowledge sharing and learning. Uphold ethical and data privacy standards in all software engineering activities. Qualifications BS in Computer Science, Mathematics, Physics, Bioinformatics, Biophysics, or a related field, plus 2 years of relevant experience, or equivalent work experience. Demonstrated experience (2+ years) with Python; familiarity with scientific programming packages (pandas, numpy) and/or machine learning frameworks (TensorFlow) a plus. Undergraduate level biology knowledge required; experience manipulating and analyzing biologically relevant data sets strongly desired (e.g. sequencing data, cellular imaging data, etc). Introductory coursework on deep learning or other modern ML approaches, or equivalent work experience, a plus. Familiarity with basic software best practices (CI/CDD, unit testing, version control, etc.) highly preferred. Strong analytical and problem-solving skills, with the ability to think critically and creatively to overcome technical challenges. Effective communication skills to collaborate with diverse teams, both technical and non-technical, especially across disciplines. Demonstrated ability to thrive in a fast-paced, dynamic work environment. At Eikon, employee compensation also includes bonus and equity compensation, in addition to several generous benefit programs, including:​ 401k plan with company matching​ Medical (premiums covered by Eikon at 95%), dental and vision insurance (premiums covered by Eikon at 100%)​ Mental health and wellness benefits​ Weeklong summer and winter holiday shutdowns​ Generous paid time off and holiday policies​ Life