Senior Scientist, Computational Biology

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!

Job Title: Senior Scientist, Computational Biology

About The Role: We are seeking a highly skilled and experienced Senior Computational Biologist to join our dynamic team. The ideal candidate will have a strong background in computational, statistical, and AI/ML methods, and will bring leadership competencies, agility, and a passion for learning. This role is based at our headquarters in Cambridge, MA or at our research site at Ghent, Belgium. Join us and be a part of a team that's pushing the boundaries of computational biology in AgTech. Together, we'll make a difference and drive innovation in the field.

Key Responsibilities:

• Lead the development of computational and statistical models to analyze large-scale biological data.
• Utilize AI/ML techniques to integrate and interpret multi-omics datasets for target identification and validation.
• Set the scientific direction and strategies for complex systems biology-based initiatives, pushing the boundaries of what's possible.
• Collaborate with interdisciplinary teams, including molecular biologists, computational biologists, and machine learning experts, to translate computational findings into actionable insights.
• Stay abreast of novel methods and technologies in the field and demonstrate strategic thinking in their application.
• Present research findings to internal and external stakeholders through talks, peer-reviewed publications, and conference presentations.
• Mentor and manage junior scientists, fostering a collaborative and innovative research environment.

Qualifications:

• D. or equivalent with 5+ years of experience in bioinformatics, computational biology, systems biology, or a related quantitative field.
• Proficiency in programming languages such as R and Python, and experience with high-performance computing and cloud environments.
• Strong background in network analysis, systems biology, and computational modeling.
• Proven track record of independent research and a strong publication record in peer-reviewed journals.
• Excellent communication and collaboration skills, with the ability to interact effectively with colleagues from diverse scientific backgrounds.
• Creative and strategic thinking, good problem-solving skills, and the ability to recognize and learn from failures.
• Ability to set long-term goals and strategies, aligning them with the company's mission and objectives.
• Strong organizational and time management skills to ensure efficiency in planning and execution.

Preferred Qualifications:

• Demonstrated strong leadership in projects or people management
• Previous industry experience in Agriculture or Pharmaceuticals.
• Experience with AWS, Docker, Git, NextFlow, Batch, and Agile methodologies.
• Experience in plant genomics data is a plus but not required.

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