Bioinformatics Scientist

GreenLight Biosciences is seeking an exceptional results-oriented and collaborative Bioinformatics Scientist to contribute within our Bioinformatics and Data Science team. You will closely partner and contribute by applying your knowledge of Bioinformatics, Machine Learning, Biological Computing, Genomics and Next Generation Sequencing, to drive our mRNA vaccines and Gene Therapy research in Human Health. The ideal candidate is a scientist with experience working in the human/mammalian domains, with demonstrated expertise in designing algorithms and utilizing bioinformatics tools to analyze and interpret large-scale public (and custom) datasets including, but not limited to, cell, NGS, and other lab assay data. Strong interpersonal and technical communication skills to interface with lab scientists and stakeholders are essential.

Responsibilities:

• Design and implement automated bioinformatics workflows and novel algorithms to derive actionable biological insights from a variety of biological data sets, using statistical analyses and intuitive visualizations with a focus on the Human/Mammalian domain
• Design and implement data processing models for large-scale multi-omics eukaryotic datasets (RNA, Protein) by combining existing public and commercial tools with a specific focus on gene expression, molecular biology, and gene therapy
• Perform bioinformatics analyses to drive vaccine research and production efforts and effectively communicate with a variety of Human Health (Vaccines) partners and leaders
• Continuously align with leadership on priorities and peers on best practices for delivering solutions to Human Health stakeholders
• Partner closely with stakeholders on experimental design, data analyses, and data reporting
• Document code and experiments in a reproducible manner

Required qualifications:

1. Ph.D. in Bioinformatics, Computational Biology, Computer Science, Biostatistics, or a related field with demonstrable experiences with biological computation in the Human/Mammalian or pharma domains
2. Experience with Statistics, Experimental data analysis, and data visualizations
3. Strong familiarity with concepts in Gene Expression regulation, mRNA translation, Mammalian molecular biology, functional/structural genomics, or vaccines/pharmaceuticals
4. >=2 years of experience in performing bioinformatics including algorithm/tool/workflow development, and NGS analysis including but not limited to RNA-seq, Ribo-seq, and ATAC-seq, with relevant datasets for >=2 mammalian species
5. >=3 years of programming experience in one of the following languages: Python, R
6. Expertise in utilizing and configuring public and custom bioinformatics tools and workflows to probe and manipulate gene expression datasets. Deep familiarity with using public or custom databases and associated data storage/retrieval systems
7. Solid, demonstrable experience developing algorithms for solving biological problems. A biology-centric and data-oriented thought process.
8. Familiarity with machine learning and statistical algorithms, and ability to apply them to bioinformatics problems
9. Communicate exceptionally in a clear, action-oriented manner. Foster and participate in a collaborative, kind, and result-oriented culture.
10. Excellent skills in translating biologists/project team’s scientific questions into analytical strategies and methods
11. Strong problem-solving skills and ability to design and implement computational solutions to complex bioinformatics problems
12. Must be independently driven, results-oriented, and a quick learner. Must maintain a HIGH level of ownership and see assignments through to completion based on agreed-upon deadlines

Preferred qualifications:

• Exceptional candidates would have >=2 years of Post-PhD Academia or (Pharma) Industry experience

• 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
• Experience with Design of Experiments