Bioinformatics Scientist I

Durham, NC

The Bioinformatics Scientist I will work closely with Genomics team members to improve and polish current in-house software and translate scripts into software for general scientific consumption. The individual will also leverage current literature to propose and implement new data analysis pipelines that complement and advance the current system of genomic analysis as well as run current analysis pipelines as needed.

Responsibilities

• Leverage advanced computational approaches and collaborate with Genomics team members to create advanced assays for genome editing outcomes
• Analyze experimental data produced by next-generation sequencing (NGS) including indel and structural variant data
• Maintain current and develop new computational and bioinformatic tools
• Develop visualization tools for large scale genomic projects
• Work with the team to develop software to enable end-user use of custom bioinformatics tools
• Communicate cross-functionally and present data to internal teams
• Adhere to best practices in pipeline development and data integrity
• Perform additional duties and responsibilities, as assigned

Qualifications

Required :

• PhD in Computational Biology, Bioinformatics or related field or Master’s degree and 2+ years of experience in Computational Biology, Bioinformatics or related fields, or equivalent combination of training and experience
• Proficiency using R and/or Python for data analysis
• Proficient in NGS data processing in a Linux computing environment
• Strong foundation in genomics concepts
• Familiarity with publicly available bioinformatics databases, tools, algorithms, and websites, such as NCBI, UCSC, ENSEMBL, ENCODE, 1000 Genomes or NHGRI
• Experience using visualization tools (ggplot2, seaborne, etc.)
• Basic understanding of statistics and algorithms associated with genomics analysis
• Experience working independently and within a team depending on project needs
• Strong communications skills

Preferred :

• 1+ years of experience performing relevant tasks in Industry setting
• Software development experience – bioinformatics centric software to enable end-user interaction with industry standard and customized bioinformatics toolsets
• Versioning software (git, etc.)
• Experience using Nextflow
• Experience using Rmarkdown or Jupyter notebooks
• R Shiny app development experience
• Experience with RNAseq or scRNAseq analysis