Associate 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 is a full-time, on-site role at the Signature Science office in Charlottesville, VA. Essential Duties and Responsibilities Develop tools for management, analysis and interpretation of high-density microarray and whole genome sequencing data. Manage, manipulate, and analyze data using a combination of R, python, and UNIX tools. Use established domain-specific open-source software and tools to manipulate and analyze genomic data. Implement and execute data processing workflows and automated analytic pipelines. Apply literateprogramming methods to develop reproducible workflows that produce consistent, standardized tables and figures. 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 Advanced proficiency working in a Unix/Linux environment. 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. Proficiency with R, RMarkdown, and the "tidyverse" tools for data analysis. 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 BA or BS in Computer Science, Bioinformatics, or related field Experience managing and analyzing large-scale datasets produced sequencing platforms and delivering solutions for managing, visualizing, analyzing, and interpreting genomic data 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 bioinformatics task 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. #J-18808-Ljbffr