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Request for Proposals: Amazon Web Services (AWS) Web Development & Bioinformatics Consultant

Open Opportunity

Program Contact

Constance Gewa, Ph.D.

Grants Team

Open Until Filled

About Amazon Web Services (AWS) Web Development & Bioinformatics Consultant


The Foundation for Food & Agriculture Research (FFAR) is seeking a consultant to create seamless web interfaces for uploading data and trained models in AWS, while also establishing environments and dashboards for efficient model testing and execution. Additionally, the consultant will prepare datasets for model validation. This consultancy could consist of an individual or team of experts.


Pioneered by the Foundation for Food & Agriculture Research (FFAR) and the Global Alliance for Improved Nutrition (GAIN), the Harvest for Health Initiative aims to accelerate the development of underutilized crops and to increase the diversity of nutritious foods in the marketplace. While underutilized crops have incredible functional and nutritional potential, the development of such crops for consumption or use in other products is prohibitively expensive and time intensive. To attract more private sector investment in underutilized crop development, Harvest for Health launched the Breakthrough Crop Challenge to develop a predictive model that can screen underutilized crops to determine a crop’s potential as a source of functional ingredients or nutrients. The predictive model input data must either use genome sequencing data, nutrition composition, or biochemical properties of crop data. Data must be publicly available or made publicly available at the time of submission of the model. The Breakthrough Crop Challenge is requesting a developed and validated predictive model to identify underutilized crops with market potential as a source of ingredients with one or more of the following functional properties:

  • Thickeners, emulsifiers and stabilizers
  • Bulking agents
  • Taste and flavor enhancers
  • High nutrient density, please specify the targeted nutrient(s)

After applicants submit predictive models, FFAR will validate the model as well as test the presence of the selected functionality in selected crops. The consultant will help to build the submission portal to receive the predictive models, execute the models, generate reports on model performance, and compile a data set for FFAR’s interval validation of the models. Details of this role are stated in the scope of work.

Read the full RFP Consultant description and requirements.