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- Utilize modeling and network-based approaches to integrate multiple omics data types to identify and prioritize trait-associated genes, pathways, and regulatory elements for target identification and validation.
- Provide scientific direction, set strategies and lead complex systems biology-based initiatives for target/variant discovery.
- Work closely with interdisciplinary teams including molecular biologists, computational biologists, and machine learning experts to translate computational findings into actionable insights for trait discovery and crop improvement.
- Maintain strong awareness of novel methods from the literature and demonstrate strategic thinking and leadership in identifying new computational methods and technologies for target identification and prioritization.
- Present results to internal and external scientists through talks, peer-reviewed manuscripts, and conference presentations
- Manage junior level scientists.
- Ph.D. or equivalent with 5 or more years of experience in bioinformatics, computational biology, systems biology, plant breeding, genetics or related quantitative field.
- Experience with novel transcriptomics and other omics-based technologies and proficiency in relevant bioinformatics tools and software packages.
- Strong background in network analysis, systems biology, and computational modeling, with expertise in integrating multi-omics datasets and constructing gene regulatory networks.
- Proficiency in programming languages commonly used in bioinformatics and computational biology (e.g., R, Python) and experience with high-performance computing and cloud environments.
- A track record of independent research, which includes a strong publication record in peer-reviewed journals or experience leading projects or teams.
- Excellent communication and collaboration skills, with the ability to effectively interact with colleagues from diverse scientific backgrounds and contribute to a dynamic and innovative research environment.
- Ability to manage ambiguity and to provide and receive constructive feedback.
- Adaptability and enthusiasm for new challenges, innate curiosity, and a passion for learning.
- Creative and strategic thinking, good problem-solving skills, willingness to be bold and take risks, and the ability to recognize and learn from failures
- Excellent time management and organizational skills to ensure efficiency in planning and execution.
- Previous industry experience (Pharmaceutical or Agricultural)
- Experience working with any of the following: AWS, Docker, Git, NextFlow, Batch, and Agile methodologies
- Experience in plant genomics data is a plus, but not required.
Senior Scientist - Cambridge, Massachusetts, United States - Inari Agriculture
Description
About The Role
We are looking for a Senior Computational Biologist to join our growing team and help us expand our biological data analysis and computational capabilities to better prioritize targets for genome editing in crops. The role can be based at the company headquarters in Cambridge, MA or in Ghent, Belgium
As a Senior Computational Biologist, you will ...
You bring...
Bonus qualifications...