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Bioinformatics Programmer 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 Programmer JobsBioinformatics Programmer Jobs in Atlanta, GA

Bioinformatics Programmer information

See Atlanta, GA salary details

$67.2K

$136.2K

$242.2K

How much do bioinformatics programmer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for bioinformatics programmer in Atlanta, GA is $136,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $166,900.00 per year, depending on experience, location, and employer.

What is a bioinformatics programmer?

A Bioinformatics Programmer is a professional who develops and maintains software tools to analyze biological data, such as DNA sequences, protein structures, and genomic variations. They work at the intersection of computer science and biology, using programming languages like Python, R, and Java to process and visualize complex biological datasets. Their role is crucial in fields like genomics, drug discovery, and biomedical research, where they help automate data analysis and support scientific investigations.

What does a bioinformatics programmer do?

A typical day for a Bioinformatics Programmer involves writing and optimizing code to analyze large datasets, commonly derived from genomics, proteomics, or clinical studies. You'll spend time collaborating with biologists, statisticians, and other programmers to design experiments, validate results, and interpret findings. Most roles also include maintaining data pipelines, troubleshooting software issues, and staying updated with the latest bioinformatics tools and research. The work environment often blends independent coding with regular team meetings and project updates, offering both technical and interdisciplinary challenges. This dynamic workflow makes the role both intellectually stimulating and impactful in advancing scientific discoveries.

What skills and qualifications are needed to be a bioinformatics programmer?

To thrive as a Bioinformatics Programmer, you need strong programming skills (often in Python, R, or Java), a solid background in biology or life sciences, and experience working with large-scale biological data. Commonly used tools and systems include bioinformatics software like BLAST, Bioconductor, cloud computing platforms, and version control systems such as Git, and certifications in relevant domains can be advantageous. Critical thinking, problem-solving, and effective communication are essential soft skills for integrating research findings and collaborating with interdisciplinary teams. These skills ensure you can develop robust, accurate computational solutions that drive advances in biological research and healthcare applications.

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

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

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

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

Bioinformatics Programmer jobs near you
Infographic showing various Bioinformatics Programmer job openings in Atlanta, GA as of August 2026, with employment types broken down into 80% Full Time, 10% Part Time, 8% Contract, and 2% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $136,204 per year, or $65.5 per hour.

Microbiologist IV (Genomic Data Engineer)

Seneca Holdings

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 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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