Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures.
We're currently seeking a creative, passionate, and detail-oriented Software Engineer (Full-stack). You will develop, deploy, and scale our data information platform and are someone who pays strong attention to detail, is highly organized, and excels in a fast-paced work environment. As an early employee, you will be involved and empowered to make critical decisions about the frontend and backend frameworks, as well as our cloud-based data infrastructure.
This is an excellent opportunity to shape the future of AI-driven protein design and to work cross-functionally with a diverse team of experts across machine learning, protein engineering, cell biology, and gene editing.
Responsibilities
- Develop user-facing applications to give scientists access to custom-built software
- Develop automated, cloud-based workflows to perform ETL of experimental data from various sources
- Build scalable cloud pipelines for analysis of Illumina sequencing datasets (NGS)
- Develop intuitive and interactive data visualizations
- Design and implement relational database models
- Work closely with experimental and computational biologists to perform user-testing
- Clearly document code and communicate outcomes to colleagues
Qualifications
- BS, MS, or PhD in Computer Science or a related field
- 5+ years experience in full-stack web development
- Track record of building intuitive and scalable web applications and backend infrastructure from scratch
- Experience with at least one web based development framework (Django, React)
- Experience with relational or NoSQL databases (PostgreSQL, BigQuery)
- Experience with cloud computing (GCP preferred)
- Fluent in Python data analysis tools (numpy, pandas, Jupyter notebook, biopython)
- Experience with Linux environments and version control (git)
Preferences (but not required)
- Experience developing scientific software
- Interested in the intersection between biology and AI
- Experience developing data visualization tools
Actual salary will be determined based on relevant skills, qualifications, experience, training, and market data. Benefits package may vary depending on company policies and eligibility criteria.
Hiring Salary Range
$140,000—$200,000 USD
What we offer at Profluent
- A high-growth opportunity with meaningful impact
- Competitive compensation package
- Health insurance (health/dental/vision)
- Generous paid time off (PTO) policy
- Commitment to physical and mental well-being
- More benefits and perks to be added!
Profluent Bio, Inc 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.
Top Skills
What We Do
Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Berkeley, CA, we are backed by leading investors including Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures. To learn more about our mission to decode the language of life with AI, visit profluent.bio
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