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Evening Computer Science Bioinformatics Jobs in Virginia

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

D. degree in Computer Science, Electrical and Computer Engineering, Computational Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or related fields. • PhD ...

Virginia Tech

Research Associate

Blacksburg, VA · On-site

Required Qualifications Advanced degree in Computer Science, Electrical and Computer Engineering, Computational Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

D. degree in Computer Science, Electrical and Computer Engineering, Computational Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or related fields. PhD must ...

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Evening Computer Science Bioinformatics information

What is an evening computer science bioinformatics job?

Evening Computer Science Bioinformatics jobs are positions that primarily take place during evening hours and focus on applying computational methods to analyze biological data. These roles may involve tasks such as writing code to process genetic information, developing algorithms for biological research, and supporting laboratories or research teams outside traditional business hours. Such jobs are ideal for individuals seeking flexible schedules, including students or professionals who prefer working later in the day. Common employers include research institutions, hospitals, and biotech companies with extended operational hours.

What are common challenges faced by professionals working evening shifts in computer science bioinformatics roles?

Professionals in evening computer science bioinformatics positions may encounter challenges such as coordinating with daytime teams, balancing work-life commitments, and managing access to resources that may be less available after hours. Communication with colleagues in different shifts often requires proactive planning to ensure seamless project handoffs and data sharing. However, the evening schedule can also offer a quieter environment for focused analysis and coding, which some professionals find conducive to productivity.

What are the key skills and qualifications needed to thrive as an evening computer science bioinformatics professional?

To excel as an Evening Computer Science Bioinformatics professional, you generally need a solid background in computer science, biology, and data analysis, often supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (like BLAST and Bioconductor), and knowledge of databases are typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting complex data and collaborating with multidisciplinary teams. These competencies ensure accurate analysis, meaningful insights, and seamless integration of computational solutions to biological research challenges.

What is the difference between Evening Computer Science Bioinformatics vs Evening Data Science?

AspectEvening Computer Science BioinformaticsEvening Data Science
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; certifications like Certified Bioinformatics ProfessionalBachelor's or Master's in Data Science, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentResearch labs, healthcare, biotech companies, academic institutionsTech companies, finance, marketing, healthcare, consulting firms
Employer & Industry UsagePrimarily in biotech, healthcare, academiaAcross various industries including tech, finance, and retail

Evening Computer Science Bioinformatics focuses on analyzing biological data using computational methods, often in healthcare or research settings. Evening Data Science involves extracting insights from large datasets across multiple industries. While both roles require strong programming skills and statistical knowledge, their application areas and industry focus differ significantly.

What are the most commonly searched types of Computer Science Bioinformatics jobs in Virginia?

The most popular types of Computer Science Bioinformatics jobs in Virginia are:

What cities in Virginia are hiring for Evening Computer Science Bioinformatics jobs?

Cities in Virginia with the most Evening Computer Science Bioinformatics job openings:

Evening Computer Science Bioinformatics jobs near you

Associate Bioinformatics Data Scientist

Charlottesville, VA

Signature Science, LLC
Scientific Research and Development Services • 51 - 200 employees
Learn more about Signature Science, LLCexternal

$75K/yr

Full-time

Re-posted 17 days ago

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 literate‑programming 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.