Indigo Ag is a mission-driven company dedicated to harnessing nature to help farmers sustainably feed the planet. We innovate across a breadth of technology and science disciplines to help enhance agriculture’s long-term sustainability and profitability and mitigate the climate crisis. We seek to positively impact the world through the digital and biological solutions we bring to the market, creating a more resilient earth, healthier economies, and thriving communities. Our people build partnerships, explore the science, and engineer the technology to help grow the future of sustainable agriculture. The only way to achieve it is through a unique combination of expertise – from Fortune 500 to academia, soil science and agriculture, to tech start-ups.
The Computational Biologist will use modern bioinformatics tools and methods to screen Indigo’s ‘omics and ecological datasets for functional traits beneficial to plants and will deliver hypothesis-driven microbial nominations to the screening pipeline. The Computational Biologist will contribute to enriching our internal microbial functional knowledgebase (MFKB) with current scientific knowledge on plant-microbe interactions under biotic and abiotic stresses; generate hypotheses on microbial functions and their interactions with plants and integrate multiple data streams to characterize strain performance and evaluate our strain nomination rationales. The Computational Biologist will propose and conduct comparative genomic analysis to predict strain diversity, metabolic potential, and interaction with plant.
Use methods and tools of computational biology and bioinformatic, and literature knowledge mining to identify microbial functional traits valuable for sustainable agriculture, synthesize hypotheses and guide testing activities
Apply comparative genomics to understand the modes of actions of our microbes and the plant responses to microbial treatments
Mine genomic and ecological data to find key environmental and phenotypic interactions between microbes and plants
Supplement publicly available data and knowledge into Indigo systems to improve nomination
Contribute to the expansion and curation of the Indigo Microbial Functional Knowledgebase by conducting thorough reviews of current literature
Conduct integrative analyses on Indigo’s genomic and phenotypic data
Analyze the plant microbiome to understand influence of microbial communities on plant fitness and productivity
Leverage subject matter expertise and experience to contribute to the design of assays and date review
Own microbial nominations into the pipeline for biotic stresses across all crops, globally
Deliver high-quality product candidates for abiotic and biotic stresses to be tested in our pipeline, in line with global product roadmap
Understand all aspects of Indigo R&D screening pipeline
Start developing methods to extract new information from whole genomic sequence
Partner with team members to define a framework for measuring pipeline success of hypotheses
Represent MxN in Nomination Working Group and Indication Team, run a process to collect feedback and define new/better ways of working with group
On an on-going basis, provide feedback to Bioinformatics team on tools, feature improvements, and prioritization of Software Engineering resourcing
Expand and upgrade criteria rationales for microbial nominations into the pipeline to improve nomination success as measured by performance in targeted screening assays
Collaborate with Bioinformaticians, Software Engineers, and Data Management to refine tools and interfaces for genomic and phenotypic data such that scientists across the company can fully leverage the value of the Indigo data asset
A voracious learner who will always “ask the next question”
Team player – someone who thrives working in cross functional teams throughout the organization
Outstanding communication skills – candidate will be working cross functionally with laboratory scientists and decision makers throughout the organization
Easily adapts to new types of problems and questions. Flexible to different types of analysis and different stakeholders (e.g., lab science, field trials, commercial team).
PhD + 2 years industry and/or post-doc experience in a relevant field such as microbiology, computational and system biology, bioinformatics
Required domain experience and publication history in microbial physiology, microbiome interaction and comparative genomics
Experience in plant microbe interactions, microbial community analysis and plant-microbe interaction
Fluency with Python and R, relational databases, and SQL
Wet lab experience in microbial molecular biology is a plus
At Indigo, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation, and related medical conditions), national, social or ethnic origin, age, physical, mental or sensory disability, marital status, family or parental status, sexual orientation, gender identity and/or expression, family medical history or genetic information, military and veteran status, and any other characteristic protected by applicable law. Indigo believes that diversity, equity, and inclusion among our team members are critical to our success. We seek to recruit, develop and retain the most talented people from a diverse candidate pool.
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