1

Evening Computer Science Bioinformatics Jobs in Virginia

Bachelor's or Master's degree in Bioinformatics, Computational Biology, Biomedical Informatics, Data Science, Computer Science, or related scientific discipline. * 7+ years of professional experience ...

Bachelor's or Master's degree in Bioinformatics, Computational Biology, Biomedical Informatics, Data Science, Computer Science, or related scientific discipline. * 7+ years of professional experience ...

Bachelor's or Master's degree in Bioinformatics, Computational Biology, Biomedical Informatics, Data Science, Computer Science, or related scientific discipline. * 7+ years of professional experience ...

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

PhD in bioinformatics, mathematics, statistics, computer science, data science, or related field with 4+ years of relevant experience OR Master's degree in an equivalent field with 4 years of ...

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

PhD in bioinformatics, mathematics, statistics, computer science, data science, or related field with 4+ years of relevant experience OR Master's degree in an equivalent field with 4 years of ...

next page

Showing results 1-20

Evening Computer Science Bioinformatics information

What are the key skills and qualifications needed to thrive as an Evening Computer Science Bioinformatics professional, and why are they important?

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 are some 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 Evening Computer Science Bioinformatics jobs?

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 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:
Bioinformatics Analyst III

Bioinformatics Analyst III

Oran Inc

Herndon, VA

Full-time

Posted 7 days ago


Job description

Experience Required

7+ Years

Position Overview

We are seeking a highly skilled Bioinformatics Analyst III to support biomedical and clinical research data initiatives. The ideal candidate will have extensive experience analyzing structured and unstructured clinical datasets and supporting AI/ML-driven healthcare analytics initiatives. This role requires strong technical expertise in biomedical data systems, healthcare interoperability standards, and statistical analysis.

Key Responsibilities
  • Support biomedical and clinical research data analysis initiatives.
  • Analyze structured and unstructured clinical datasets.
  • Develop and maintain data pipelines for healthcare analytics projects.
  • Support AI/ML and predictive analytics initiatives in healthcare environments.
  • Collaborate with data scientists, clinicians, and research teams.
  • Perform statistical analysis and data wrangling activities.
  • Implement ontology mapping and clinical data harmonization.
  • Ensure compliance with healthcare and regulatory data standards.
  • Develop APIs and integration workflows for healthcare data systems.
  • Document technical processes and analytical methodologies.
Required Qualifications
  • Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Biomedical Informatics, Data Science, Computer Science, or related scientific discipline.
  • 7+ years of professional experience in bioinformatics or healthcare analytics.
  • Experience supporting biomedical or clinical research data analysis initiatives.
  • Strong understanding of healthcare and life sciences environments.
  • Hands-on experience with clinical datasets and healthcare interoperability.
Required Skills
  • Python
  • R
  • SQL
  • Clinical Data Analysis
  • Biomedical Datasets
  • HL7/FHIR
  • Statistical Analysis
  • Data Wrangling
  • Ontology Mapping
  • AI-Assisted Analysis
  • Git
  • Jupyter
  • APIs
Preferred Qualifications
  • AWS Certified Data Analytics Certification
  • Certified Health Data Analyst (CHDA)
  • SAS Certifications
Work Environment
  • Experience working in healthcare, biomedical, or regulated environments preferred.
  • Ability to work independently and collaboratively in cross-functional teams.
Equal Opportunity Employer

We are an Equal Opportunity Employer and value diversity at all levels.