Profluent
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Profluent is seeking a creative and detail-oriented Software Engineer (Full-stack) to develop and scale their data information platform for AI-driven protein design. Responsibilities include developing user-facing applications, building cloud pipelines, designing data visualizations, and working collaboratively with experts across various fields. Qualifications include a degree in Computer Science, 5+ years of full-stack web development experience, proficiency in Python and related tools, and experience with web frameworks, databases, cloud computing, and Linux environments.
Seeking a Data Scientist with a focus on laboratory informatics to automate data capture and analysis for protein design. Responsibilities include providing computational support, writing robust software, collaborating with scientists, implementing bioinformatics tools, and managing datasets. Requires a BS or MS in a relevant field, 3+ years of experience, proficiency in Python data analysis tools, experience with Benchling, and attention to detail. Preference for experience with high throughput data, SQL, cloud platforms, and data analysis & visualization tools.
Seeking a Bioinformatics Scientist / Engineer to perform genomic data mining and expand the known universe of biological sequences. Responsibilities include metagenome assembly, database maintenance, cloud-based pipeline deployment, and code documentation. Requires BS, MS, or PhD in Bioinformatics or related field, 3+ years of industry experience, and proficiency in Python, GCP, SQL, and Linux. Preferred experience with bioinformatics tools and next-generation sequencing data. Competitive salary range of $125,000 - $190,000 USD per year, along with benefits package and growth opportunities at Profluent Bio, Inc.
Profluent is seeking a motivated Machine Learning Scientist to drive research into new technologies for biomolecular design. Responsibilities include developing deep learning methods for protein design, collaborating with the biology team, implementing computational approaches, and shaping the scientific vision of the company. Qualifications include a PhD in relevant fields, experience in novel machine learning techniques, and familiarity with deep learning frameworks like Pytorch.
Profluent is seeking a motivated Machine Learning Engineer to optimize and deploy deep learning models for protein design. Responsibilities include developing efficient code, analyzing computational approaches, and collaborating with diverse teams. Qualifications include a Master's or PhD in relevant fields, 2+ years of industry experience, and expertise in various machine learning models.