Associate Computational Biologist, R&D – Future Technologies
CATALOG, a Boston-based pioneering startup, is making significant strides in the field of data storage and computation by harnessing the power of DNA. DNA, known for its millennia-long stability, unrivaled information density, and cost-effective replicability, offers revolutionary potential for latency-tolerant high-density data storage and massively parallel computation. We're seeking a motivated Associate Computational Biologist with an interest in synthetic biology to join our interdisciplinary team and contribute to the development of CATALOG's DNA-based data storage and computation platform.
In this role, you will:
Please note, visa sponsorship is not available for this position
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In this role, you will:
- Build custom software tools to assess DNA sequencing metrics
- Assist research and development activities for developing bioinformatics pipelines
- Support the translation of new technology from bench protocol to a fully automated solution at scale with cloud-based software tools
- Collaborate with hardware and software teams to implement new software tools to assess the end-to-end platform performance
- Analyze NGS data, present findings, and make recommendations to internal and external stakeholders
- Continuously assess current literature for innovation opportunities
- Programming with Python and C/C++, in a Linux environment, and with relevant tools
- Understanding of molecular biology with an emphasis on nucleic acid chemistry
- Experience with and understanding of NGS platforms and software tools
- Experience interfacing with computation platforms via the Unix CLI in both commercial (Azure, GCP, AWS) and academic settings
- Experience with long-read, solid-state, and/or protein sequencing is preferred
- Familiarity with lab automation, though not required, is a plus
- The excitement of building novel tools and technologies at the intersection of synthetic biology and engineering
- The opportunity to contribute to a supportive and collegial team with a growth mindset
- The challenge of teaching and learning from colleagues of diverse academic/industry backgrounds
- The prospect of wearing many hats as we pioneer the future of DNA-based data storage and computation
- Thrive in a fast-paced environment
- Exhibit creativity and proactivity in problem-solving
- Collaborate effectively in small, cross-disciplinary teams
- Be a dependable team player with strong verbal and written communication skills
- Plan and execute tasks independently
- A B.S. or M.S. in computational biology, molecular biology, biomedical engineering, or a related discipline, coupled with ideally with 1+ years of industry experience, showcasing a strong academic and practical background
- Breadth of experience in and ability to design and build DNA sequence analysis software tools from conceptualization to implementation
Please note, visa sponsorship is not available for this position
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Seniority level
Entry level -
Employment type
Full-time -
Job function
Research, Analyst, and Information Technology -
Industries
Internet Publishing
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