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Seasonal Computer Science Bioinformatics Jobs in Georgia

Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public Health, or related field * Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint) * Core ...

Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public Health, or related field * Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint) * Core ...

Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public Health, or related field * Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint) * Core ...

Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public Health, or related field * Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint) * Core ...

Data Analyst - IT

Atlanta, GA · On-site

$73K/yr

Bachelor's degree in Information Technology, Computer Science, Data Analytics, Bioinformatics or related field. 2 years of experience in data analysis, reporting, or business intelligence. Resumes:

Bachelor's degree in Information Technology, Computer Science, Data Analytics, Bioinformatics or related field. 2 years of experience in data analysis, reporting, or business intelligence. Resumes:

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Seasonal Computer Science Bioinformatics information

What is a seasonal computer science bioinformatics?

A Seasonal Computer Science Bioinformatics job is a temporary position, often aligned with academic breaks or project timelines, where individuals apply computer science principles to solve biological data challenges. These roles typically involve tasks such as analyzing genomic data, developing bioinformatics tools, or supporting research teams during peak periods. Seasonal positions are common in research labs, biotech companies, and academic institutions, providing hands-on experience in the intersection of biology, computer science, and data analysis. It's an excellent opportunity for students or early-career professionals to gain relevant skills and contribute to scientific discoveries.

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

To thrive as a Seasonal Computer Science Bioinformatics professional, you need foundational knowledge in computer science, biology, and statistics, often supported by coursework or a degree in bioinformatics or a related field. Experience with bioinformatics tools (such as BLAST, Bioconductor, or Galaxy), programming languages (like Python, R, or Perl), and familiarity with databases are typically required. Strong analytical thinking, attention to detail, and effective communication help you interpret complex data and collaborate with interdisciplinary teams. These skills are crucial for efficiently analyzing biological datasets and contributing valuable insights during short-term research projects.

What types of projects can a seasonal computer science bioinformatics employee expect to work on?

As a Seasonal Computer Science Bioinformatics employee, you may be involved in projects such as developing data analysis pipelines, assisting with genomic data processing, and creating visualization tools to interpret biological datasets. These tasks are often collaborative, requiring you to work closely with biologists, data scientists, and other software engineers to ensure that computational solutions meet research objectives. Contributing to these projects helps the team accelerate biological discovery and improve the understanding of complex data, making your work both impactful and intellectually rewarding.

What is the difference between Seasonal Computer Science Bioinformatics vs Data Analyst?

AspectSeasonal Computer Science BioinformaticsData Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, healthcare, biotech companies, academic institutionsBusiness, finance, healthcare, tech companies
Industry UsagePrimarily in healthcare, biotech, research projectsAcross various industries including finance, marketing, healthcare
Search & Comparison IntentUnderstanding roles in bioinformatics, seasonal opportunities, required skillsComparing data analysis roles, seasonal work, skill requirements

Seasonal Computer Science Bioinformatics roles focus on analyzing biological data, often in healthcare or research settings, requiring bioinformatics-specific skills. Data Analysts work across industries analyzing data to inform business decisions. While both roles involve data handling, their industry focus and skill sets differ, especially in seasonal contexts.

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

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

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


Job description

Overview

Please note that this position is contingent upon the successful award of a contract currently under bid.

Goldbelt Apex, a part of the Healthcare Technology Transformation Group, is a data-focused company dedicated to process and quality in every aspect. As healthcare IT experts, Apex is committed to building systems that enable healthcare organizations to communicate and exchange data seamlessly across different systems and devices. 

Summary:

Goldbelt Apex is seeking a qualified Bioinformatician to provide data management and bioinformatics support services. This role involves managing epidemiological and laboratory data by utilizing various software packages in collaboration with the Centers for Disease Control and Prevention’s National Center for Immunization and Respiratory Diseases, particularly within the Division of Viral Diseases and the Viral Vaccine Preventable Diseases Branch (VVPDB).


Responsibilities

Essential Job Functions:

Support the design, development, and implementation of surveillance tools to collect epidemiologic data for Viral Vaccine-Preventable Disease Programs through the following tasks:

  • Maintain epidemiological and laboratory data by using SAS as well as other data management software packages (e.g., R, REDCap, Microsoft Access, Excel, EpiInfo)
  • Support the design, development, and implementation of surveillance tools to collect epidemiologic data
  • Convert existing datasets from a diverse array of file formats (e.g., Microsoft Excel, Access, SQL, and ASCII files) into SAS datasets
  • Design, program, test, modify, enhance, maintain, and support new surveillance applications to collect epidemiological data
  • Develop scripts and software for data manipulation, cleaning, analysis, and visualization (using programming languages such as Python, R, BASH, and SQL)
  • Develop bioinformatics pipelines using parallel programming capabilities through workflow tools, including Snakemake or Nextflow, on Linux-based high-performance computing environments
  • Transform data sources into appropriate file formats for bioinformatics/epidemiological studies
  • Conduct data mining and data curation from public sequence databases to support bioinformatics and molecular epidemiological analyses
  • Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage and visualize laboratory and epidemiological data
  • Submit monthly progress report, detailing achievements and progress on sub-tasks a-i. Please also indicate any project obstacles that need to be overcome

Qualifications

Necessary Skills and Knowledge:

  • Ensure that you are well-acquainted with every responsibility outlined in the essential job functions section above. It's important to have a thorough understanding of these tasks, as they form the backbone of your role.

Minimum Qualifications:

  • Master’s degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public Health, or related field
  • Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint)
  • Core experience with analysis of biological datasets encountered in studies of infectious disease (sequencing, protein, phenotype, or other relevant data types)
  • Experience with selection/evaluation of computational approaches to perform analyses of biomedical data.
  • Experience with interpretation, reporting, and documentation of computational analyses over biological datasets
  • US Citizen (birth or naturalization)

Preferred Qualifications:

  • Experience with SAS, R, Python, SQL
  • Surveillance pipeline development
  • Dashboarding tools (Power BI, Tableau, R Shiny)
  • Public health or CDC program support experience

**NOTE: Must be able to potentially obtain security clearances as needed (i.e., Confidential, Secret, or Top Secret)

Pay and Benefits
At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Qualifications:

Necessary Skills and Knowledge:

  • Ensure that you are well-acquainted with every responsibility outlined in the essential job functions section above. It's important to have a thorough understanding of these tasks, as they form the backbone of your role.

Minimum Qualifications:

  • Master’s degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public Health, or related field
  • Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint)
  • Core experience with analysis of biological datasets encountered in studies of infectious disease (sequencing, protein, phenotype, or other relevant data types)
  • Experience with selection/evaluation of computational approaches to perform analyses of biomedical data.
  • Experience with interpretation, reporting, and documentation of computational analyses over biological datasets
  • US Citizen (birth or naturalization)

Preferred Qualifications:

  • Experience with SAS, R, Python, SQL
  • Surveillance pipeline development
  • Dashboarding tools (Power BI, Tableau, R Shiny)
  • Public health or CDC program support experience

**NOTE: Must be able to potentially obtain security clearances as needed (i.e., Confidential, Secret, or Top Secret)

Pay and Benefits
At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Education:UNAVAILABLEEmployment Type: FULL_TIME