Data Scientist/Computational Biologist

| Greater Boston Area

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, Indigo’s 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 São 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 Indigo’s 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
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Technology we use

  • Engineering
    • JavascriptLanguages
    • PythonLanguages
    • RLanguages
    • TypescriptLanguages
    • GraphQLLanguages
    • ReactLibraries
    • ReduxLibraries
    • ExpressFrameworks
    • Node.jsFrameworks
    • MySQLDatabases
    • PostgreSQLDatabases

Location

On the edge of Charlestown, we are within walking distance to restaurants and bars. The Sullivan Square T and bus stop is also right next door!

An Insider's view of Indigo

What projects are you most excited about?

Our mission is to provide agronomists with unbiased real-time data we are collecting across thousands of acres at the ground level and from space. It's such a thrill to be working on the data and analysis perspective of this massively cross-disciplinary team that helps agronomists initiate data-powered conversations to provide substantial results.

Jyoti

Principal Data Scientist

What makes someone successful on your team?

A successful Indigo team member is someone willing to continuously learn and improve, regardless of experience or role. Whether you’re an Engineer, Account Manager, Business Analyst, or Scientist, successful team members keep the bigger picture in mind and bridge disciplines to solve problems facing the incredibly complex system that is agriculture

Hilary

Software Product Manager

What are Indigo Perks + Benefits

Health Insurance & Wellness Benefits
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Onsite Gym
Retirement & Stock Options Benefits
401(K)
Company Equity
Performance Bonus
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Vacation & Time Off Benefits
Generous PTO
Paid Holidays
Paid Sick Days
Perks & Discounts
Commuter Benefits
Company Outings
Stocked Kitchen
Some Meals Provided
Parking
Recreational Clubs
Relocation Assistance
Fitness Subsidies
Professional Development Benefits
Job Training & Conferences
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