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Bioinformatics Programmer Analyst Jobs in Suwanee, GA

Process and analyze complex genomic and other biological datasets. Workflow Development & Scientific Programming * Develop, execute, modify, test, document, and maintain reproducible bioinformatics ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Strong Python programming skills with experience in bioinformatics data analysis * Familiarity with database design principles and data management * Knowledge of distributed computing and parallel ...

Strong Python programming skills with experience in bioinformatics data analysis * Familiarity with database design principles and data management * Knowledge of distributed computing and parallel ...

Strong Python programming skills with experience in bioinformatics data analysis * Familiarity with database design principles and data management * Knowledge of distributed computing and parallel ...

Strong Python programming skills with experience in bioinformatics data analysis * Familiarity with database design principles and data management * Knowledge of distributed computing and parallel ...

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 ...

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 ...

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 ...

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 ...

The Senior Bioinformatician will collaborate with epidemiologists, laboratory scientists, software engineers, and public health partners to develop innovative analytical solutions that translate ...

The Senior Bioinformatician will collaborate with epidemiologists, laboratory scientists, software engineers, and public health partners to develop innovative analytical solutions that translate ...

The Senior Bioinformatician will collaborate with epidemiologists, laboratory scientists, software engineers, and public health partners to develop innovative analytical solutions that translate ...

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Bioinformatics Programmer Analyst information

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How much do bioinformatics programmer analyst jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for bioinformatics programmer analyst in Suwanee, GA is $43.26, according to ZipRecruiter salary data. Most workers in this role earn between $33.56 and $52.60 per hour, depending on experience, location, and employer.

What is a bioinformatics programmer analyst?

A Bioinformatics Programmer Analyst is a professional who combines knowledge of biology, computer science, and statistics to manage, analyze, and interpret complex biological data, often using programming and software development skills. They typically work with large datasets such as genomic sequences, gene expression profiles, or proteomics data to derive meaningful insights for research or clinical applications. Their role often involves developing software tools, writing scripts for data analysis, and collaborating with biologists and other scientists to solve research problems. Bioinformatics Programmer Analysts are essential in fields like genomics, pharmaceutical research, and personalized medicine.

What are the key skills and qualifications needed to thrive as a bioinformatics programmer analyst?

To thrive as a Bioinformatics Programmer Analyst, you need strong programming skills (such as Python, R, or Perl), a background in biology or bioinformatics, and typically a bachelor's or master's degree in a relevant field. Familiarity with bioinformatics tools, databases (like NCBI, Ensembl), and experience using Linux environments and version control systems (like Git) are essential. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with research teams. These competencies are vital for accurately analyzing biological data and delivering actionable insights in research or clinical settings.

What are some common challenges faced by bioinformatics programmer analysts when integrating new data types into existing pipelines?

Bioinformatics Programmer Analysts often encounter challenges such as data heterogeneity, inconsistent formats, and varying quality when integrating new data types into established analysis pipelines. Addressing these issues requires careful data preprocessing, validation, and sometimes developing custom scripts or modules to ensure compatibility. Collaboration with biologists and data scientists is essential to understand the context of the new data and to tailor solutions that maintain the reliability and reproducibility of results. Staying adaptable and up-to-date with evolving bioinformatics tools and standards also helps in overcoming these integration challenges.

What is the difference between Bioinformatics Programmer Analyst vs Bioinformatics Data Scientist?

AspectBioinformatics Programmer AnalystBioinformatics Data Scientist
Required CredentialsBachelor's in Bioinformatics, Computer Science, or related field; programming skillsBachelor's or Master's in Bioinformatics, Data Science, or related; strong statistical and programming skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, biotech firms, healthcare analytics
Employer & Industry UsageUsed in biotech, pharma, healthcare for data analysis and software development

The Bioinformatics Programmer Analyst primarily focuses on developing software tools and analyzing biological data using programming skills. In contrast, the Bioinformatics Data Scientist emphasizes statistical analysis and data modeling to interpret complex biological datasets. Both roles require strong programming knowledge and are common in biotech and healthcare industries, but their core responsibilities differ in software development versus data analysis.

What job categories do people searching Bioinformatics Programmer Analyst jobs in Suwanee, GA look for?

The top searched job categories for Bioinformatics Programmer Analyst jobs in Suwanee, GA are:

Infographic showing various Bioinformatics Programmer Analyst job openings in Suwanee, GA as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, 1% Temporary, and 5% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $89,983 per year, or $43.3 per hour.

Bioinformatics Specialist

Atlanta, GA

BeVera Solutions LLC
1 - 10 employees

Full-time

Posted 4 days ago


Job description

Description

About BeVera Solutions, LLC 

BeVera Solutions, LLC is a rapidly growing public health and professional services company that provides innovative solutions to federal and state agencies. Our team supports mission-critical programs through expertise in program management, communications, acquisition, data analytics, and public health initiatives. BeVera's CEO champions a people-first culture where every employee is valued. The company supports this commitment by offering competitive compensation and meaningful, impactful work assignments.  


Recognized as one of Atlanta's Best Places to Work (2024 & 2025 & 2026) by the Atlanta Business Chronicle, BeVera fosters a culture of integrity, excellence, and collaboration.


NOTE: Position Contingent upon award of contract.  This role is part of a pre-award candidate search for an upcoming federal government contract.  Employment is contingent upon BeVera Solutions receiving the contract award, final Government approval, funding, and any applicable client or contract requirements.  

Job Description Essential Duties

BeVera Solutions is seeking a highly experienced Bioinformatician - Scientific Computing & Genomics to perform genomic data analysis and develop, execute, maintain, and troubleshoot reproducible bioinformatics workflows supporting CDC's Office of Advanced Molecular Detection (OAMD).

The position supports next-generation sequencing, microbial genomics, scientific scripting, workflow development, HPC and cloud computing, statistical analysis, and technical consultation for public-health laboratory and pathogen-analysis activities.


Bioinformatics & Genomic Analysis

  • Perform bioinformatics analysis of next-generation and other high-throughput sequencing data. 
  • Support genome sequencing, assembly, annotation, microbial genomics, metagenomics, transcriptomics, phylogenetics, and related analyses. 
  • Conduct statistical analyses and scientific data-quality reviews. 
  • Process and analyze complex genomic and other biological datasets. 

Workflow Development & Scientific Programming

  • Develop, execute, modify, test, document, and maintain reproducible bioinformatics workflows. 
  • Develop and support workflows using Nextflow and related workflow-management technologies. 
  • Create scientific scripts and analytical tools using Python, R, Perl, Java, BioPerl, or similar languages. 
  • Optimize pipelines for computational efficiency, storage utilization, scalability, and reproducibility. 

HPC, Cloud & Software Environment Support

  • Adapt bioinformatics workflows and algorithms to HPC and cloud-computing environments. 
  • Support implementation, configuration, testing, and validation of open-source, commercial, and custom bioinformatics software. 
  • Assist with containerized bioinformatics applications and scientific-computing environments. 
  • Maintain and update reference datasets, databases, software environments, and analytical resources. 
  • Troubleshoot workflow failures, software dependencies, data-format compatibility issues, analytical errors, and computational-resource problems. 

Quality Assurance, Validation & Documentation

  • Participate in software testing, quality-control, validation, and user-acceptance activities. 
  • Document analytical methods, workflows, software configurations, results, and technical procedures. 
  • Contribute to technical reports, scientific presentations, manuscripts, methods documentation, and other program products as needed. 

Scientific Consultation & User Support

  • Provide bioinformatics technical consultation and user support appropriate to level of experience. 
  • Assist scientists and technical users in understanding bioinformatics tools, analyses, workflows, and results. 

Collaboration, Training & Leadership

  • Collaborate with bioinformaticians, scientists, system administrators, DevOps personnel, infrastructure teams, data-management personnel, and other technical staff. 
  • Participate in technical training, knowledge-sharing, and continuous professional development. 
  • Senior-level incumbents may mentor less-experienced bioinformatics personnel and lead complex analytical assignments.

Requirements

Required Qualifications

  • Demonstrated education, training, or professional experience related to bioinformatics, computational biology, genomics, biological sciences, computer science, data science, or a closely related field.
  • Knowledge of bioinformatics methods and genomic or sequencing-data analysis.
  • Experience or demonstrated proficiency with scientific scripting or statistical programming.
  • Ability to work with large and complex scientific datasets.
  • Ability to document analytical methods and technical procedures.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work collaboratively within multidisciplinary scientific and technical teams.

Preferred Qualifications

Experience supporting public-health, infectious-disease, laboratory-science, HHS, CDC, or other federal scientific programs is also preferred.

Programming & Scientific Computing

  • Python      
  • R 
  • Perl 
  • Java/BioPerl
  • Linux 
  • High-performance computing (HPC) 
  • Cloud-computing environments 

Bioinformatics Workflows & Development

  • Nextflow      
  • nf-core/ph-core or similar workflow standards 
  • Bioinformatics workflow optimization 
  • Containers/Singularity or similar technologies 
  • Scientific software testing and validation 

Genomics & Sequence Analysis

  • Next-generation sequencing (NGS) and high-throughput sequencing 
  • Genome assembly 
  • Functional annotation 
  • Microbial genomics 
  • Metagenomics      
  • Phylogenetic analysis 

Data Analysis & Public Health

  • Statistical analysis 
  • Epidemiologic or public-health data