Bioinformatics Scientist

Research Triangle Park, NC (Hybrid) 

GreenLight Biosciences is seeking a driven Bioinformatics Scientist to join our Data Science and Bioinformatics team. You will partner closely with our Plant Health Regulatory Science, Functional and Science teams to deliver on key objectives by applying your knowledge of Molecular Biology, Genomics, Next Generation Sequencing (NGS), Bioinformatics, Machine Learning, and Biological Computing. In this role, the Bioinformatics Scientist is expected to be integrally involved in early and late- stage Plant Health projects by leveraging bioinformatics expertise through data analyses, scientific literature mining, visualizations, and report-writing. The ideal candidate is a scientist-programmer with a background in late-stage pesticide product advancements, preferably regulatory sciences, with a molecular biology bent. Strong oral and written communication skills, combined with a robust scientific background, to convey complex RNAi concepts to a wide variety of scientific and non-scientific audiences are essential. 

Responsibilities: 

• Act as a scientific partner to the Regulatory team to provide bioinformatics support, contributing to the science and acceptance of first-of-their-kind RNAi products in the Plant Health space. 
• Perform and translate bioinformatics analyses into intuitive visualizations and effective written communication, to a wide audience of internal and external peers and agencies.  
• Design, optimize, and implement automated bioinformatics workflows and novel algorithms to derive actionable, novel biological insights from a variety of biological data sets contributing to increased efficiency and reproducibility. Utilize programming languages such as Python, R, or similar to implement tools and scripts for data manipulation, analysis and visualization. 
• Stay up to date with the latest developments in bioinformatics, RNAi technology, regulatory sciences, and technology trends to drive innovation and excellence in the field. 
• Continuously align with reporting manager, peers and stakeholders on priorities and best practices. 

• Partner closely with stakeholders on mining scientific literature, data analyses, and reports. 

Required qualifications: 

• Ph.D. in Bioinformatics or related fields such as Computational Biology, Biomedical Sciences, Molecular Biology, Crop Science, Genetics, Computer Science or a related field, with a background in scientific late-stage crop protection product advancement and/or human molecular biology. 
• >1 years of experience in bioinformatics including algorithm, tool and workflow development for NGS analysis. 
• >2 years of programming experience with Python and R. 
• Demonstrated ability to present complex results, both verbally and in writing, to bioinformatics and non-bioinformatics audiences of all levels is critical. 
• Excellent communication and interpersonal skills to translate biologists’ scientific questions into analytical strategies and methods. 

• Strong familiarity with RNAi, pesticide product advancement science, Regulatory science, and/or mammalian molecular biology. 
• Familiarity with databases, resources, and software tools relevant to bioinformatics and regulatory requirements 
• Expertise in utilizing and configuring public and custom bioinformatics tools and workflows.  

• A biology-centric and data-oriented thought process. 
• Must be independently driven owning and seeing projects through to completion based on agreed upon deadlines. 
• Must possess a team-oriented working style, scientific curiosity with a problem-solving mindset, organizational skills and an enthusiastic, collaborative spirit. 

Preferred qualifications: 

• Exceptional candidates would have post-PhD Academia or Industry experience. 
• Background in mammalian or human health  
• Experience with reproducible code frameworks such as JIRA, Trello, Confluence, and GitHub, and workflow management systems like Snakemake. 
• Experience with high-performance computing environments including cloud infrastructures such as Azure, AWS, or Google Cloud (Azure preferred) 
• Enthusiasm and interest in unlocking novel areas of potential commercial value in a startup environment.