Bioinformatics Data Scientist

Added: 9/24/2021

REF: 13396

Contract: Permanent

Location: Medford, Massachusetts, United States

About the company 

  • Aiming to develop sustainable solutions to issues facing our planet
  • Issues such as public health crises and sustainable food production
  • Create RNA-based products that can be used to solve healthcare and agricultural issues more naturally and safely


About the job

  • Seeking a Bioinformatics Data Scientist to work within the Data Science and Management function
  • Partner with scientists to use knowledge of Genomics, Data Science, Machine Learning and Predictive modeling to execute an analysis that will impact Plant and Human Health projects.
  • Expected to extract useful biological insights from large, complicated data sets from different sources
  • Have experience working with large and diverse biological datasets
  • Experience handling High-throughput data generation techniques
  • Deep domain expertise in computational solutions targeted at Molecular Biology



  • Derive biological insights/conclusions from the outputs of bioinformatics analysis
  • Design automated workflows
  • Design and apply data processing models to large-scale multi-omics datasets
  • Design and build data pipelines
  • Translate internally generated and externally sourced biological data into well-curated datasets for machine learning
  • Perform statistical analyses
  • Train ML models on large biological datasets such as NGS-derived and others
  • Translate data into biological knowledge, and communicate findings
  • Collaborate with other scientific staff members within and outside the R&D group
  • Document results of analyses and investigations in a reproducible manner


Required Background

  • PhD degree in Bioinformatics, Computational Biology, Data Science, Machine Learning, Statistics, Genetics or a related field
  • 2+ years of Biopharma or Healthcare industry experience
  • Experience with sequence analysis, proteomics, antigen design, genomics, machine learning, molecular biology, sequencing or related computational biology/bioinformatics areas
  • 2+ years Multi-omics experience with data analysis from High-throughput techniques for RNA, RNA-Seq, Whole Exome Sequencing
  • Strong coding skills in Python
  • Experience with R as a toolset for data access, data cleaning, statistical analysis, and visualization
  • Knowledge of machine learning applied to large and diverse biological data sets
  • Experience developing algorithms for solving biological problems
  • Scientific data analysis expertise
  • Experience with high-performance computing environments
  • Cloud infrastructure experience with Azure, AWS or Google Cloud (Azure preferred)
  • Experience with JIRA, Trello, Confluence and GitHub
  • Excellent communication and interpersonal skills to translate scientific questions into analytical strategies and methods


Preferred Background

  • 3+ years experience in an agricultural industry (not mandatory)


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