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 230 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...
Inari is seeking a motivated and experienced leader in computational biology to join our Science
organization to lead the computational biology strategy and activities. As a member of the Science
Leadership Team, you will (1) contribute to driving the scientific vision and strategy of Inari with a focus
on predictive design, (2) supervise projects and activities in the area of data science and computational
biology, including assay design and development, (3) drive and cultivate innovation to apply the most
advanced computational biology concepts and tools to our portfolio and (4) contribute to the
development of people and a high-performance science organization. This role reports directly to the
Chief Scientific Officer and can be located in our offices in either Gent (Belgium) or in Cambridge, MA

As a Senior Director, Computational Biology you will...

Develop the strategy for and lead the integration of computational biology and data science into
our predictive design and editing toolbox activities

Manage and guide computational biology and data scientists who lead and/or are engaged in
projects in the area of target discovery & design and, multiplexing editing tools development

Work closely with the Technical Director Computational Biology to ensure that the most
advanced methodologies are used effectively and efficiently in the science portfolio

Drive the science data management strategy by ensuring the analysis, integration and
interpretation of relevant and high-quality data across our application domains (incl. genetic
target discovery, gene regulation, plant characterization, genome modification, protein
engineering, etc.)

Enhance our ability to analyze and integrate our own unique, contemporary genetic and
genomic high-dimensional data into novel predictive and generative models that will set us
apart from our competitors

Develop the strategy and driving the deployment of assays in support of data production for
enhancing our computational biology analytics and prediction capabilities

Align the Computational biology Science strategy with the data and machine learning strategy
through close collaboration with the Data and Compute leadership team

Contribute to the IP strategy by ensuring we capture value from our in computational biology
and data science driven projects

Support the Science leadership team in planning, prioritizing and managing resources in the
Science organization

Drive and communicate to diverse stakeholders the vision, strategy and achievements of the
Science Organization

Attract, engage, develop and retain talent - bringing diversity of thought and background

You Bring...

PhD in STEM field such as computational biology, genetics, computer science, physics,
mathematics or equivalent experience in an industry context with a master or bachelor degree
At least 10 years of demonstrated academic or industry experience in leading complex research
projects and developing people. Experience in data science related to plant genetics at an Ag
biotechnology firm preferred.

Ability to bridge the gap between genetics/biology and data science to ensure fruitful
integration of disciplines and productive interaction across functions and the company to work
towards common goals

Experience in creating and managing FTO and IP of computer/AI-related innovations

Demonstrated track record of complex problem solving, critical thinking and leading others to
achieve novel insights, as well as driving a culture of innovation

Capacity to drive and clearly articulate vision and purpose

Ability to step up to address difficult issues, capacity to receive and provide constructive and
actionable feedback to foster continuous self and organizational improvement

A team player mindset with demonstrated ability to build/lead functional teams and instill trust

Proven record of developing people and creating an environment where people can learn and

Ability to work well with a very diverse group of people and multidisciplinary teams, and to
embrace and nurture diversity

Capacity to manage ambiguity and uncertainty, remain calm and operate effectively in fast
growing and risk-taking environments

Excellent and effective communication skills at different levels of the organization

Strong commitment to our team’s values: learn from every decision, no heroes/heroines,
thoughtful inclusion, and fail fast

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