Arzeda is solving some of today’s hardest and most meaningful problems – from food and nutrition to sustainable materials and homecare – by designing proteins that have the limitless potential to change everyone’s daily life. Our team has developed a proven technology platform that merges computational protein design, machine learning, and synthetic biology tools to produce proteins, enzymes, and bio-based processes more efficiently than even Mother Nature. A deep tech, mission-driven company, we are passionate about our mission to design novel proteins and products that enhance our lives and protect our planet. At Arzeda, we value a strong desire to learn, innovate and be continuously challenged.
We are seeking a Scientist to join our growing Computational Protein Design team. This is a rare and unique opportunity to join a group of diverse, highly-motivated and talented scientists and engineers working together to create bio-based sustainable solutions across a broad range of application areas, including food, agriculture, and materials. In this role, you will help plan and execute the design of key protein targets for both our internal product portfolio as well as our industrial partners. You will also participate in the development of novel computational methods to further improve the robustness and capabilities of our design platform. By bringing your creativity, expertise, and passion to bear on a variety of challenging and exciting protein design problems, you will play an integral role in achieving Arzeda’s vision for a cleaner, more sustainable future through synthetic biology and protein design.
The preferred work location for this position is Seattle, Washington. However, remote work from other U.S. locations is a possibility.
Arzeda is located in Seattle, Washington. Nestled among the historic and artistic neighborhoods of Ballard, Fremont and Queen Anne, you'll find the right balance of activities and relaxation. Whether you're indulging your inner foodie at one of many unique restaurants, drinking a craft beverage after a day at the beach, or enjoying a picturesque walk through the Sunday Market, you'll be proud to call Seattle your home.
Responsibilities:
- Understanding and critically reviewing existing biochemical and structural data
- Analyzing and developing mechanistic models of enzyme active sites
- Responsible for planning and performing computational protein design toward novel or improved functionalities and toward increased stability, solubility, or expression
- Participating in the development of novel design methodologies including automation and scale-up of Arzeda’s protein design platform
- Support and assist in experimental planning and data analysis
- Communicating design goals, approaches, and results to internal and external stakeholders
Qualifications:
- 2 years of experience with computation protein engineering/design (academic experience will be considered)
- Excellent proficiency with molecular modeling and design packages, such as Rosetta, and a visible track record in computational protein design are required.
- A PhD in biochemistry, chemistry, structural biology, computational biology, or a related field is required.
- 2 years of experience with computer programming or scripting (C/C++, Python), academic experience will be considered
- Ability and willingness to work both independently and as a member of multi-disciplinary teams in a fast-paced environment, on multiple concurrent projects is required.
- A strong desire to learn, innovate and push the boundaries of science is required.
Nice to haves (but not required):
- Proven experience in enzymology is highly desirable.
- Familiarity with machine learning-based protein modeling or design approaches is a plus.
- Method development on the computational side and automation of those methods.
Arzeda is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.
Legal authorization to work in the United States is required. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
