We are looking for a Bioinformatics Associate to join our team and contribute to the analysis of NGS datasets with a focus on gene editing applications. At Profluent, we work at the intersection of AI-driven protein design and cutting-edge gene editing technologies. In this role, you'll work closely with experimental scientists, providing computational support and developing custom bioinformatics tools to analyze high-throughput sequencing data. 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 * Collaborate with experimental scientists to analyze data from high-throughput gene editing experiments. * Develop custom bioinformatics tools for processing and analyzing NGS sequencing data, ensuring scalability and robustness. * Support experimental biology workflows, including guide RNA design, primer design, barcoding, library design, and more. * Automate bioinformatics workflows using scripting languages (e.g., Python, Bash) and manage scalable cloud pipelines for large-scale data analysis. * Document code clearly and communicate findings and insights to colleagues, presenting complex data in clear, actionable formats. Qualifications * BS or MS in Bioinformatics, Computer Science, or a related field in quantitative biosciences. * 2+ years of academic or industry experience in bioinformatics or a related field. * Proficiency in Python, including familiarity with data analysis libraries (e.g., numpy, pandas, Jupyter notebooks, biopython). * Experience with bioinformatics sequence analysis tools and methodologies. * Experience with Linux environments and version control (git). * Hands-on experience analyzing data from molecular biology experiments. * Proficiency with at least one data analysis and visualization tool (e.g., R, matplotlib, seaborn). * Strong organizational skills, attention to detail, and the ability to thrive in a fast-paced environment. Preferred (but not required) * Experience with cloud-based platforms (e.g., Google Cloud Platform, AWS) for data processing and storage. * Familiarity with workflow orchestration tools (e.g., Nextflow, snakemake) * Familiarity with containerization (e.g., Docker, Kubernetes) for scalable data processing. Work Authorization Requirement Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position. Employment Eligibility Verification Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.