Indigo: Data Scientist/Computational Biologist
500 Rutherford Ave, Suite 201
Boston, MA 02129

Employee Testimonials

Jesse Deardorff
Cassandra Ball
Trudi Baker

Video

Indigo is a company dedicated to harnessing nature to help farmers sustainably feed the planet. With a vision of creating a world where farming is an economically desirable and accessible profession, Indigo works alongside its growers to apply natural approaches, conserve resources for future generations, and grow healthy food for all. Utilizing beneficial plant microbes to improve crop health and productivity, Indigos portfolio is focused on cotton, wheat, barley, corn, soybeans, and rice. The company, founded by Flagship Pioneering, is headquartered in Boston, MA, with additional offices in Memphis, TN, Research Triangle Park, NC, Sydney, Australia, Buenos Aires, Argentina, and So Paulo, Brazil. www.indigoag.com

The Data Scientist/Computational Biologist will drive innovation throughout R+D by turning laboratory assay, growth room, greenhouse, and field trial data into actionable insights. As a member of the machine learning team, they will design, denoise, and analyze experiments to find predictors of field success. The ideal candidate will be an excellent communicator, who enjoys working with laboratory scientists, quantifying their work and extracting as much information as possible using tools of modern data science and machine learning. The data scientist will have a unique opportunity to drive innovation and discoveries throughout Indigo. We desire a a quick and flexible thinker, who is always looking for the next way to connect disparate data and to implement the best recent technical advances to advance Indigos R+D pipeline.

Outcomes:

  • Embed within the discovery team to design, denoise, and analyze sophisticated, high throughput assays for both abiotic and biotic stresses
  • Work with the greenhouse and growth room teams to design and analyze soil based screening assays and product formulation and positioning experiments
  • Assist with the analyses of complex field trial data including understanding potential interaction with environment, genotype, and natural microbiome
  • Develop strategies to connect data at all stages of the R+D pipeline and use machine learning to speed and improve the quality of results

Competencies:

  • Analysis of quantitative experimental data, especially in the biological sciences.
  • Design of scientific experiments, e.g. power analyses, handling technical and biological variation, etc.
  • Image processing and analysis
  • Statistical and probabilistic modelling of data
  • Machine learning techniques for feature selection and exploratory analyses (e.g. clustering, LDA, etc.)
  • Writing reusable, comprehensible software that can be productionized
  • Presenting technically sophisticated analyses to audiences at disparate levels of sophistication
  • Strong desire to continue learning, identify new techniques and technologies, and rapidly implement them to keep Indigo at the cutting edge (e.g. reading bioRxiv digests daily and testing new tools)
  • Desire to support machine learning with assay data
  • Agile with the ability to deliver in a fast-paced environment
  • Ability to understand needs of customers, especially laboratory scientists, and experience working directly with stakeholders to implement exactly what the customer needs
  • Desire to teach quantitative skills to laboratory scientists and continually increase the level of sophistication in experimental design and analysis
  • Team player, excellent communication skills
  • Passion for Indigo and our core values

Qualifications:

  • PhD in Computational Biology or Other Quantitative scientific/engineering discipline (e.g. Physics, Biology with computational research) or Masters degree with 3+ years experience
  • At least 3-5 years' experience with programming in Python and/or R
  • Understanding of and experience working with biological data

Indigo is committed to living our values, specifically creating a work environment where everyone feels respected, connected, and has opportunities to learn and grow. As part of living our values, we strive to create a diverse and inclusive work environment where everyone feels they can be themselves and has an equal opportunity of succeeding.

Full-time

Employee Testimonials

Jesse Deardorff
Jesse Deardorff

Our plan is focused on the growers and helping them achieve maximum profitability using a unique set of tools. On top of offering a dynamic product, developing relationships and partnerships with growers will be key to achieving our goals.

Cassandra Ball
Cassandra Ball

I love the lab culture of Indigo. It's great being surrounded by both hard-working and fun-loving people. Most of our experiments are challenging and having the support of coworkers throughout the day really makes it fun for me.

Trudi Baker
Trudi Baker

From the early days when the whole company consisted of less than 20 people, I remember EVERYONE would gather for lively brainstorming sessions, the founder of the company, bench scientists, data scientists, lab techs, an attorney - everyone participated and listened and learned from each other's experiences and opinions. Today Indigo is much larger, but this spirit of open communication and collaboration is still strong. We collaborate through our everyday work, through software like our online innovation exchange where we bounce ideas off each other, and through "hands-on" brainstorming sessions where we learn a new assay and some of the points which are most challenging and can share ideas about how to make it more efficient.