Bioinformatics & Genomics Data Scientist

Signature Science

A bioinformatics/genomics 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 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.

Key Responsibilities

  • Develop tools for management, analysis and interpretation of next generation sequencing data
  • Organizing and managing large-scale genomic data sets
  • Managing, manipulating, analyzing data with R, python, and UNIX tools
  • Using established open-source software and tools to assess quality and analyze data
  • Implement and execute data processing workflows and automated analytic pipelines
  • Create standardized summary tables and figures
  • Manage large dataset collections including analytical results and data quality
  • Develop annotated computer code and conduct code reviews and programming validation
  • Conduct workflow benchmarking
  • Identify inconsistencies and initiate resolution of data problems
  • Prepare SOPs, document source code/workflows, and write reports to summarize computational
    requirements, processing status, and customized analysis results as needed.

Experience and Qualifications

Required Knowledge, Skills & Abilities:

  • Strong knowledge of working in a Unix/Linux environment
  • Advanced proficiency with R/Bioconductor, RMarkdown, and the “tidyverse” tools for data analysis.
  • Proficiency with Python, Perl, or another scripting language.
  • Experience with open-source software, tools, and databases for analyzing next-generation sequencing data (RNA-seq, ChIP-seq, DNA variation, epigenetics, microbiome, and metagenomics).
  • Familiarity with developing and querying relational databases (MySQL or similar)
  • Familiarity with AWS cloud computing is desired
  • Experience with NextFlow, SnakeMake, or similar workflow/pipeline management systems is desired
  • Experience using Version Control software (e.g., Git or similar) to manage programming code
  • Experience using workflows and sprints throughout the development process
  • Ability to manage multiple tasks

Education/Experience:

  • MS or PhD in Bioinformatics, Genomics, Data Science, or related field
  • Experience (5+ years with MS/3+ years with PhD) managing and analyzing large-scale datasets produced sequencing platforms and deliver solutions for managing, visualizing, analyzing, and interpreting genomic data
  • 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.

Sector

Health Tech & Software

Job Type

Full-time

Address

Charlottesville, VA
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