Associate Bioinformatics Data Scientist

Signature Science, LLC; Charlottesville (VA); On-site; USD 70,000 - 100,000; Full time

Job summary

Signature Science, LLC is seeking a Bioinformatics Data Scientist in Charlottesville, VA. This full-time, on-site role involves providing experimental design consulting and data analysis for genomic experiments. Responsibilities include developing analysis tools and managing large-scale genomic data.

The ideal candidate will have an educational background in Computer Science or Bioinformatics and advanced proficiency in Unix/Linux and open-source tools.

Qualifications

• Advanced proficiency in a Unix/Linux environment.
• Experience managing large-scale datasets.
• Knowledge of next-generation sequencing data analysis.

Responsibilities

• Develop tools for analysis of genomic data.
• Manage and analyze data using R, Python, and UNIX.
• Implement data processing workflows.

Skills

Unix/Linux proficiency

Open-source software proficiency

Docker/Singularity proficiency

Version control software (Git)

Python scripting proficiency

R and tidyverse proficiency

NextFlow/SnakeMake familiarity

Relational databases familiarity

AWS/Azure familiarity

Education

BA or BS in Computer Science, Bioinformatics, or related field

Tools

Docker

R

Perl

Python

Job description

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.