Software Engineer - Front End

Full Time

About Our Team

The Computational Team at Evozyne is a bit different – a bit of code, a bit of creativity, combined with a byte of humility. Machine learning is at the core of Evozyne’s technology for protein design, and we make it happen. We are intimately involved in the research and development cycle, regularly collaborating with molecular biologists and lab scientists to generate optimal protein sequences for tough problems facing the world. We are a small, nimble team with a diverse range of expertise and backgrounds. We embrace modern software best practices and strive for high code quality. We love Python and JavaScript but aren’t afraid to dig into C++ or R or Haskell or Rust if we need to (even if we admittedly aren’t experts). Relational databases are great, and so are graph databases. We train neural networks daily, but we also know when an if statement is good enough. Team collaboration is our bread and butter, from code reviews, Slack support channels, lunch and learn sessions, flexibility for hybrid remote/office work, tech skill development, to mentorship of junior team members as well as leadership opportunities. We are hiring and building our team culture for the long run: we want software engineers and data scientists who will grow with us, who find satisfaction and motivation from their work as well as the time to thrive in their own lives outside of the office. Diversity, equity, and inclusion are key drivers to the success of our team, whether that is in the form of background, personal identity, perspective, or opinion. We invite the bit of difference you can make on our team.

Job Summary

This position is focused on the development of a greenfield software platform that enables data-driven protein design. The position will be building and deploying a scalable full-stack system that interfaces with Evozyne's state-of-the-art molecular biology laboratory, automating the ingestion, storage, and interactive analysis of experimental data from various source instruments and machines. The position will collaborate closely with wet-lab scientists to aid in the development of a user-friendly front end as well as with data scientists to integrate the back-end services and databases with Evozyne’s bioinformatics and machine learning research efforts. The successful candidate will be able to humbly take charge of software development efforts yet also be able to learn from and coordinate with other computational team members, as well as contribute to the overall exciting, positive atmosphere of our early-stage startup company.


Responsibilities will naturally grow over time as you become more familiar and comfortable with the role. The following items are what you can expect to be doing in the span of a few months to a year on our team:

  • Design, implement, and deploy interactive visualizations and molecular biology tools in a web based application to support data analysis and wet-lab productivity.
  • Develop and deploy a scalable, robust protein design software platform with a user-friendly front end, thorough testing, and excellent documentation.
  • Interface closely with the computational team developing our bioinformatics and deep learning back ends as well as wet-lab teams in deploying the software.
  • Maintain and continually improve our software systems and databases by incorporating additional features, integrations, and bug fixes.
  • Be a productive collaborator across departments in our early-stage company.


Technical skills are critical to this role, but nobody knows everything. We are judicious about tech skills and know they can be honed over time in this role. Not every single box below needs to be checked at the time of starting for you to be successful on our team:

  • Strong programming skills and extensive experience with front-end web programming, including but not limited to: modern JavaScript/Typescript, Webpack, React, D3 and/or Plotly.
  • Proficiency and familiarity with modern software engineering tools and technologies: Linux / Unix, Docker, git (GitHub, GitLab), CI/CD, QA testing (unit, integration, performance, etc.)
  • Familiarity with SQL and NoSQL databases (e.g. PostgreSQL, ElasticSearch, Neo4j), data structures, functional programming, and/or object-oriented programming patterns.
  • Experience with best practices in software design, prototyping, development, testing, documentation, code review, deployment, support, and troubleshooting.
  • Curiosity and ability to work and solve problems in interdisciplinary teams.

Nice To Haves

Surprise us! Here are just a few things we think could be helpful for your success on our team:

  • Proficiency and familiarity with Python and common tools in the data science stack, including but not limited to: Flask, numpy, scikit-learn, pandas, poetry, Jupyter.
  • Involvement and/or participation in science and technology community forums, events, conferences, or outreach programs.
  • Scientific knowledge or background in chemistry, biology, bioinformatics, and/or molecular genetics.
  • GitHub profile, web links, personal web page, or portfolio with examples of code and/or projects.

Education, Experience and Certifications

  • Education: A Bachelors, Masters, or PhD degree in computer science, biological sciences, physical sciences, and/or allied field; or equivalent skills and knowledge gained through sufficient industry experience or other program.
  • Experience: The ideal candidate will have 2+ years of prior industry experience in the design, development, deployment, and support of a cloud-based software platform.
  • Compensation will be determined based on experience and qualifications.

Required Documents:

  • Resume or CV
  • Cover letter – Have something important you’d like us to know about you? Tell us!