Data Scientist (Lab Informatics)
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.
Profluent is currently seeking a creative, passionate, and detail-oriented Data Scientist with a focus on laboratory informatics. The candidate will work closely with experimental biologists to automate the capture, organization, and analysis of experimental data and create software that enhances productivity of scientists.
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
- Provide computational support for experimental biology workflows (guide RNA design, primer design, barcoding, codon optimization, cloning)
- Write robust software that captures experimental data and streamlines it into Benchling and other relational databases
- Collaborate with scientists to create relational data models that represent experimental workflows
- Implement bioinformatics tools for analysis of NGS sequencing data
- Act as a data steward, who manages, organizes, and provides access to datasets generated across a protein engineering campaign
- Clearly document code and communicate outcomes to colleagues
Qualifications
- BS or MS in Computer Science, Bioengineering, Bioinformatics, or a related quantitative bioscience field
- 3+ years of academic or biotechnology industry research or laboratory experience
- Experience with Benchling or other laboratory information management systems (LIMS)
- Experience analyzing data from molecular biology experiments
- Fluent in Python data analysis tools (numpy, pandas, Jupyter notebook, biopython)
- Experience with Linux environments and version control (git)
- Pays attention to detail, highly organized, and excels in a fast-paced work environment
Preferences (but not required)
- Experience working with high throughput data and lab automation systems
- Experience designing relational data models and writing SQL queries (e.g. MySQL, PostgreSQL)
- Experience working with Google Cloud Platform (GCP) or other cloud-based compute services (e.g. AWS)
- Experience with at least one data analysis & visualization tool
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.
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.
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