Bioinformatics Scientist

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

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, 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)