Bioinformatics Data Scientist

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

Responsibilities

• 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)