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Bioinformatics Engineer Jobs in Atlanta, GA (NOW HIRING)

IHRC INCORPORATED

Microbiologist III

Atlanta, GA

Demonstrated experience in bioinformatics pipeline/workflow development * Proficiency in programming and coding as required for running NGS protocols * Knowledge of and experience working with ...

IHRC, Inc.

Microbiologist III

Atlanta, GA · On-site

Demonstrated experience in bioinformatics pipeline/workflow development * Proficiency in programming and coding as required for running NGS protocols * Knowledge of and experience working with ...

Sonsoft Inc

Capital Market with CALYPSO

Atlanta, GA

Proficiency in interacting with BAs, Developers, Testers, Business Users and Client Teams. * Ability to understand complex business requirements. * Experience with phases of the test cycle - Test ...

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All JobsBioinformatics Engineer JobsBioinformatics Engineer Jobs in Atlanta, GA

Bioinformatics Engineer information

See Atlanta, GA salary details

$41.4K

$126K

$229.4K

How much do bioinformatics engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for bioinformatics engineer in Atlanta, GA is $126,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $151,000.00 per year, depending on experience, location, and employer.

What is a bioinformatics engineer?

A Bioinformatics Engineer is a professional who combines expertise in computer science, statistics, and biology to develop software tools and algorithms for analyzing biological data. They often work with large datasets such as genomic sequences, protein structures, and clinical information to help scientists make sense of complex biological systems. Their work is essential in fields like genomics, personalized medicine, and drug discovery, where managing and interpreting vast amounts of data is crucial. Bioinformatics Engineers may also collaborate with researchers to design experiments and interpret results, bridging the gap between biology and technology.

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

To thrive as a Bioinformatics Engineer, you need a strong background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Experience with programming languages such as Python or R, familiarity with databases, and knowledge of tools like BLAST, Bioconductor, or next-generation sequencing (NGS) analysis platforms are typically required. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and convey complex findings. These skills and qualifications are essential for efficiently analyzing biological data, developing robust computational tools, and advancing research in genomics and life sciences.

What are some common challenges faced by bioinformatics engineers when integrating new data sources into existing pipelines?

Bioinformatics Engineers often encounter challenges such as data format inconsistencies, varying quality of datasets, and the need to ensure compatibility with existing analysis pipelines. Integrating new data sources may require custom scripts or tools for parsing and preprocessing, as well as thorough validation to maintain reproducibility and reliability of results. Collaboration with wet-lab scientists and software engineers is essential to clarify data requirements and streamline the integration process.

What is the difference between Bioinformatics Engineer vs Bioinformatics Analyst?

AspectBioinformatics EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, healthcare organizations, biotech companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisInterprets data, performs statistical analysis, and reports findings

While both roles require a background in bioinformatics and involve working with biological data, Bioinformatics Engineers focus on developing software and tools, whereas Bioinformatics Analysts primarily analyze and interpret data to support research and decision-making.

What does a bioinformatics engineer do?

A bioinformatics engineer develops and applies computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research or medical purposes.
More about Bioinformatics Engineer jobs

What are the most commonly searched types of Bioinformatics Engineer jobs in Atlanta, GA?

The most popular types of Bioinformatics Engineer jobs in Atlanta, GA are:

What are popular job titles related to Bioinformatics Engineer jobs in Atlanta, GA?

For Bioinformatics Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

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The top searched job categories for Bioinformatics Engineer jobs in Atlanta, GA are:

Bioinformatics Engineer jobs near you
Infographic showing various Bioinformatics Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $126,028 per year, or $60.6 per hour.

Microbiologist IV (Genomic Data Engineer)

Seneca Holdings

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Great Hill Solutions, LLC is part of the Seneca Nation Group (SNG) portfolio of companies. SNG is Seneca Holdings' federal government contracting business that meets mission-critical needs of federal civilian, defense, and intelligence community customers. Our portfolio comprises multiple subsidiaries that participate in the Small Business Administration 8(a) program. To learn more about SNG, visit the website and follow us on LinkedIn.
Our team of talented individuals is what makes us successful. To support our team, we provide a balanced mix of benefits and programs. Your total rewards package includes competitive pay, benefits, and perks, flexible work-life balance, professional development opportunities, and performance and recognition programs. We offer a comprehensive benefits package that includes medical, dental, vision, life, and disability, voluntary benefit programs (critical illness, hospital, and accident), health savings and flexible spending accounts, and retirement 401K plan. One of our fundamental principles is to offer competitive health and welfare benefits to our team members, providing coverage and care for you and your family. Full-time employees working at least 30 hours a week on a regular basis are eligible to participate in our benefits and paid leave programs. We pride ourselves on our collaborative work environment and culture, which embraces our mission of providing financial and non-financial benefits back to the members of the Seneca Nation.
Great Hill is seeking a Microbiologist IV (Genomic Data Engineer) in Atlanta, GA.
The Microbiologist IV (Genomic Data Engineer) will provide scientific support to achieve the mission of the Coronavirus and Other Respiratory Viruses Division (CORVD). The role supports pathogen genomics, public health surveillance, outbreak detection, and epidemiological investigations through advanced genomic data engineering, integration, and analytics. The role also collaborates with multidisciplinary scientific teams, maintains technical documentation, prepares reports and scientific communications, and contributes to continuous improvement of data engineering and data management practices in support of public health objectives.
Job Description
  • Develop, maintain, and optimize distributed data pipelines using Hadoop ecosystem tools (Hadoop Distributed File System, Spark, Hive, Impala).
  • Manage large-scale ETL workflows involving genomic, epidemiological, and laboratory datasets to support bioinformatic workflows.
  • Implement and optimize data validation, transformation, harmonization, and standardization workflows to ensure consistent, high-quality outputs.
  • Ingest, harmonize, and manage genomic datasets from external repositories (e.g., NCBI GenBank, Sequence Read Archive) and maintain pipelines for routine updates and submissions.
  • Work with genomic sequence files and associated metadata and integrate them into epidemiological and laboratory surveillance systems.
  • Ensure appropriate handling of sensitive public health data and compliance with data governance expectations.
  • Maintain reproducible workflows and version-controlled pipelines (e.g., Git) and prepare associated technical documentation.
  • Collaborate with bioinformaticians, laboratory scientists, and epidemiologists to translate scientific questions into scalable engineered data workflows.
  • Support development of analytical methods for outbreak detection and situational awareness, including Spark/SQL-based analysis.
  • Document advanced data lineage, governance processes, or other high-level data management structures beyond required quality controls.
  • Prepare reports, summaries, or scientific communication materials, and contribute to publications when appropriate.
  • Be proficient in common programming or scripting languages, such as Python, Rust, Scala, and/or Bash
  • Be present on site and attend weekly team meetings and provide updates on data engineering activities, pipeline performance, and ongoing tasks.

QUALIFICATIONS
Education and Experience:
  • Bachelor's degree in Bioinformatics, Data Science, Genomics, Computational Biology or a related field.
  • Master's degree is preferred in a relevant technical or scientific discipline.

Required Skils/Qualifications:
  • Proficiency with Hadoop ecosystem technologies, including: Hadoop Distributed File System (HDFS), Apache Spark, Apache Hive, Apache Impala,
  • Strong experience in data engineering, ETL development, and large-scale data integration.
  • Experience with genomic, laboratory, epidemiological, or public health datasets.
  • Ability to develop and optimize data validation, transformation, harmonization, and standardization processes.
  • Experience ingesting and managing datasets from external genomic repositories such as NCBI GenBank and Sequence Read Archive (SRA).
  • Proficiency working with genomic sequence files and associated metadata.
  • Experience with version control systems, particularly Git.
  • Knowledge of data governance, data quality management, and secure handling of sensitive health-related information.
  • Proficiency in one or more programming and scripting languages such as: Python, Scala, Rust, Bash.
  • Strong analytical, problem-solving, and technical documentation skills.
  • Ability to collaborate effectively with multidisciplinary teams including bioinformaticians, epidemiologists, and laboratory scientists.
  • Ability to work on-site and participate in regular team meetings and project updates.

Desirable Skills/Qualifications:
  • Master's degree or higher in Bioinformatics, Computational Biology, Computer Science, Data Science, Public Health Informatics, or a related discipline.
  • Experience supporting pathogen genomics and infectious disease surveillance programs.
  • Advanced experience with Spark-based analytics and large-scale distributed computing environments.
  • Familiarity with bioinformatics workflows, genomic analysis pipelines, and sequence data management.
  • Experience with analytical methods related to outbreak detection and situational awareness.
  • Knowledge of public health surveillance systems and laboratory information management systems.
  • Experience creating and maintaining data lineage documentation and enterprise data governance frameworks.
  • Experience contributing to technical reports, scientific publications, or peer-reviewed research.
  • Familiarity with cloud-based data platforms and modern data engineering practices.
  • Strong communication skills with the ability to translate scientific and public health requirements into scalable technical solutions.

Equal Opportunity Statement:
Seneca Holdings provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex/gender, sexual orientation, national origin, age, disability, marital status, genetic information and/or predisposing genetic characteristics, victim of domestic violence status, veteran status, or other protected class status. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation and training. The Company also prohibits retaliation against any employee who exercises his or her rights under applicable anti-discrimination laws. Notwithstanding the foregoing, the Company does give hiring preference to Seneca or Native individuals. Veterans with expertise in these areas are highly encouraged to apply.

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