Data Scientist / Machine Learning

Added: 24/08/2020

REF: 4735

Contract: Permanent

Location: Boston, Massachusetts, United States

Biotech company is seeking a very motivated candidate to join a team that is growing tremendously. The role is a combination of Computational Biology and Data Science. Looking for candidates with a background in the following:
*Bioinformatics
*Computational Biology
*Genetics
*Genomics 

Responsibilities:

Engage/collaborate with a team of Scientists from multiple biological disciplines:
*Plant Breeders
*Bioinformaticians
*Computational Biologists
*Software Engineers

To help integrate environmental, phenotypic, and molecular datasets, and build solutions to support our genome edited-product development pipeline across different crops in our pipeline.
  • Develop computational models.
  • Implement machine learning and/or other non-linear or linear algorithms
  • Work with Products, Science, and Digital teams to develop, prototype, and implement data pipeline and front-end applications
  • Contribute to our ongoing germplasm characterization efforts
  • Contribute to the development of highly accurate training sets.
  • Develop, improve, or expand in-house computational pipelines, algorithms, models, and services used in crop product development.
  • Constantly document and communicate results of research on data mining, analysis, and modeling approaches.
Must Have:
  • Ph.D. in Computational Biology, Data Science, Computer Science, Bioinformatics, Plant Biology, Quantitative Genetics, Genetics and Genomics, or other relevant scientific fields.
  • Expertise with tools for data analysis, statistical computation, and visualization (such as Python, R); programming and pipeline development skills integrating large, complex datasets from distinctive structured and unstructured sources.
  • Demonstrated skills to use simple interfaces to build visualization capabilities of analysis outputs and results.
  • Demonstrated experience developing and executing machine learning, deep learning, and data mining algorithms, statistical methodologies, and/or other predictive and simulation models.
  • Experience with complex, multi-source, multi-year, and multi-location biological datasets typical of agricultural systems.
  • Experience working with various types of molecular and genetic data, including DNA, RNA, metabolites, proteins.
  • Familiarity with molecular marker-based studies applied to plant breeding, such as marker-assisted selection, genome-wide phenotype-to-genotype association, and genomic selection.
  • Outstanding problem-solving skills and proven ability to develop, deliver, and deploy analytical solutions by: scoping the problem and defining hypotheses, identifying and using necessary data sources, building pipelines for data integration, analysis, modeling, and simulation, validating models, and prototyping actionable outcomes.
  • Ability to align and integrate data science research into crop product development pipelines and materials.
  • Ability to efficiently summarize and effectively communicate results to a wide variety of audiences; strong communication skills.
  • Ability to work in a fast-paced, cross-functional, collaborative environment, completing projects on time.
  • Creative, innovative, and strategic thinking; willingness to be bold and take risks on novel ideas.
  • Curiosity and a desire to continuously learn and have a meaningful impact.
  • A collaborative approach, open to giving and receiving ideas, perspectives, and feedback.

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Great to have Qualifications…
  • Experience in agriculture, plant or animal breeding.
  • Experience w: AWS, Docker, Git, Jupyter, APIs.
  • Experience in genomic selection to plant/animal breeding.
  • Experience with genome editing.

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