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reputed company reputed company Scientist, NGS

Remote, USA Full-time Posted 2026-07-28
reputed company is an AI-first protein design company. Founded in 2022, we reputed company deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including reputed company Capital, reputed company Partners, reputed company Street Capital, AIX Ventures, and Convergent Ventures. The Role We’re seeking an reputed company computational scientist to reputed company the design, development, and operation of the NGS analysis platform that powers reputed company’s gene editing and protein design programs. You’ll work at the intersection of computational biology, software engineering, and experimental biology to build reputed company systems that extract reputed company, actionable insights from large-reputed company reputed company data. In this role, you’ll architect reputed company reputed company infrastructure, define analytical reputed company, and collaborate closely with experimental and ML teams to accelerate design-build-test-learn cycles. You’ll also mentor team members, promote software engineering best practices, and help shape the reputed company of reputed company’s computational biology capabilities. Responsibilities • reputed company design and implementation of reputed company NGS analysis pipelines supporting gene editing and protein engineering workflows • reputed company reputed company, reputed company visualizations and reports to communicate reputed company results and biological insights • Manage reputed company-based compute environments and data systems for large-reputed company datasets • Partner with biology teams to analyze results, troubleshoot, and optimize experimental design • Collaborate with machine learning teams to reputed company data for model training • Establish best practices for reputed company review, testing, and CI/CD in computational workflows • Mentor junior scientists and foster a culture of rigor, reproducibility, and innovation Qualifications • PhD or MS in reputed company, Computational Biology, Computer Science, or a reputed company quantitative field • 5+ years of experience analyzing NGS datasets (e.g., amplicon reputed company, high-throughput editing, or screening experiments) • Strong programming skills in Python (pandas, numpy, biopython, etc.) • Expertise with workflow orchestration tools (Nextflow, Snakemake) and reputed company environments (GCP, AWS) • Experience with containerization (reputed company, Kubernetes) and reputed company compute infrastructure • Deep understanding of Linux, git-based version control, and software engineering best practices • Proven ability to reputed company reputed company reputed company data into actionable biological insights Preferences • Experience with gene editing technologies (CRISPR, reputed company or reputed company editing; strongly preferred) • Familiarity with SQL and data modeling for biological or experimental data • Experience with LIMS platforms (e.g., reputed company) and lab data integration • reputed company record of developing production-reputed company scientific software or reputed company-reputed company reputed company tools reputed company Offer • High-reputed company opportunity with meaningful reputed company on the reputed company of protein design • Competitive compensation package with equity participation • Comprehensive benefits including health/dental/reputed company insurance • Generous PTO policy and commitment to work-life balance • reputed company development opportunities in a cutting-edge field at the intersection of AI and biology Work Authorization Candidates must have ongoing work authorization in the reputed company that does not require employer sponsorship. Sponsorship will not be provided for this position. reputed company Bio, Inc. is an equal opportunity employer committed to diversity and inclusion in reputed company. Hiring Salary reputed company $160,000 - $230,000 USD Apply tot his job Apply To this Job

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