Bioinformatics Data Scientist

Position Purpose:

A bioinformatics data scientist is responsible for providing experimental design consulting and data analysis for large, high-throughput genomic experiments, with a focus on forensics and metagenomics. The bioinformatics data scientist will be responsible for designing and implementing annotated code for managing, manipulating, and analyzing large-scale genomic data, and for preparing thorough documentation and reporting.

This position can be located at any of our three locations, remote options as well.

Essential Duties and Responsibilities:

• Develop tools for management, analysis and interpretation of high-density microarray and whole genome sequencing data.
• Managing, manipulating, analyzing data using a combination of R, python, and UNIX tools.
• Using established domain-specific open-source software and tools to manipulate and analyze genomic data.
• Implement and execute data processing workflows and automated analytic pipelines.
• Create standardized summary tables and figures using literate programming and reproducible workflows.
• Conduct workflow benchmarking and documentation, identifying inconsistencies and resolving data problems.
• Prepare SOPs, document source code/workflows, and write reports to summarize computational
  requirements, processing status, and customized analysis results.

Required Knowledge, Skills & Abilities:

• Expert proficiency working in a Unix/Linux environment.
• Expert proficiency with R, RMarkdown, and the "tidyverse" tools for data analysis.
• Advanced proficiency with open-source software, tools, and databases for analyzing next-generation sequencing data (whole-genome sequencing, RNA-seq, epigenetics, microbiome, and metagenomics).
• Proficiency working with and developing using Docker and/or Singularity container technology.
• Proficiency using version Control software (e.g., Git or similar) to manage programming code.
• Proficiency with Python, Perl, or another scripting language.
• Preferred: Experience with NextFlow, SnakeMake, or similar workflow/pipeline management systems.
• Preferred: Familiarity with developing and querying relational databases.
• Preferred: Familiarity with AWS and/or Azure cloud computing.

Education/Experience:

• MS or PhD in Bioinformatics, Genomics, Data Science, or related field
• Experience (5+ years with MS or 3+ years with PhD) managing and analyzing large-scale datasets produced sequencing platforms and deliver solutions for managing, visualizing, analyzing, and interpreting genomic data
• Advanced experience using Linux/Unix text processing tools, R, and other open-source tooling to manipulate and format data, to assess data quality, and analyze data.

Clearance:

• This position requires that the candidate be willing and able to complete a successful background screening for a security clearance. Candidates with a current security clearance will receive preference.

Supervisory Responsibilities:

• May serve as a task/project lead.

Working Conditions/ Equipment:

• Ability to work in varying conditions to include: traditional office environments with sedentary extended periods required for code development and testing.