Senior Scientist - Computational Biology

Cambridge, MA; Ghent, Belgium

Inari Agriculture

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About Inari...

Inari is the SEEDesign™ company. We embrace the diversity and complexity of nature in every aspect of our business to drive innovation – to push the boundaries of what is possible. Through our unrivaled technology platform, Inari uses predictive design and advanced multiplex gene editing to develop step-change products. We are taking a nature positive approach to unlock the full potential of seed that will transform the food system. The results will lead to more productive acres delivering value creation for farmers and a more sustainable future for our planet.

Our success is dependent on great minds, collaborating to generate bright ideas and deliver exceptional outcomes.

We have over 300 employees, with research sites in Cambridge, MA (USA) and Ghent (Belgium), as well as a product development site in West Lafayette, IN (USA). We’ve deliberately built a team that brings diversity of thought to all aspects of our business, to generate new ideas, approaches, and ways of operating. And we've intentionally combined experience with potential, bringing agriculture industry experts with the desire to innovate together with bright minds from academia, human therapeutics, software, and consulting. If you want to be part of a diverse and inclusive team developing unique solutions to feed the world while protecting our planet’s natural resources, we’d love to hear from you!

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 … 

  • 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. 

 

You bring… 

  • 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. 

 

Bonus qualifications… 

  • 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. 

FOR U.S. CANDIDATES: Please note that we use the resume you submit with your application during our background check process. To ensure an efficient and accurate background verification, we kindly ask that you carefully review and accurately represent your work history, education and other relevant information on your resume. Any discrepancies or inaccuracies found during the background check may impact your candidacy for the position. 

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Tags: Agile AWS Bioinformatics Biology Consulting Data analysis Docker Git Machine Learning Pharma Python R Research

Regions: Europe North America
Countries: Belgium United States
Job stats:  12  3  0

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