Bioinformatics Scientist

Added: 6/30/2022

REF: 16176

Contract: Permanent

Location: Medford, Massachusetts, United States

Company Overview

  • One of the fastest-growing Biotech's 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, or a related field
  • 2+ years of Biopharma or Healthcare industry experience
  • Experience with sequence analysis, proteomics, or related computational biology/bioinformatics areas
  • 2+ years Multi-omics experience 
  • Strong coding skills in Python
  • Experience with R as a toolset 
  • Knowledge of machine learning 
  • Experience developing algorithms 
  • 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

Preferred Background

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

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