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Genomic Data Analyst Jobs in Georgia (NOW HIRING)

E Logic

Bioinformatics Analyst

Atlanta, GA · On-site

Strong programming skills in Python or R for genomic data processing and statistical analysis. * Direct experience analyzing HIV sequence data or viral molecular epidemiology is strongly preferred.

BeVera Corps

Bioinformatics Specialist

Atlanta, GA · On-site

Bioinformatics & Genomic Analysis * Perform bioinformatics analysis of next-generation and other high-throughput sequencing data. * Support genome sequencing, assembly, annotation, microbial genomics ...

Varsity Tutors

Genetics Tutor

Roswell, GA · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

Athens, GA · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

Duluth, GA · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

Lawrenceville, GA · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

Marietta, GA · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

Woodstock, GA · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

Johns Creek, GA · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

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All JobsGenomic Data Analyst JobsGenomic Data Analyst Jobs in Georgia

Genomic Data Analyst information

See Georgia salary details

$28.7K

$69.8K

$114.8K

How much do genomic data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for genomic data analyst in Georgia is $69,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $81,900.00 per year, depending on experience, location, and employer.

What is a genomic data analyst?

A Genomic Data Analyst interprets and analyzes large-scale genomic data to derive meaningful biological insights. They work with datasets from DNA sequencing, gene expression studies, and other genomic technologies to identify patterns, mutations, or associations related to health and disease. Using bioinformatics tools, programming languages like Python or R, and statistical techniques, they help researchers, healthcare professionals, and biopharmaceutical companies make data-driven decisions. Their role is essential in fields such as precision medicine, drug discovery, and genetic research.

What are the typical daily responsibilities of a genomic data analyst?

As a Genomic Data Analyst, your typical day involves processing and analyzing large-scale genomic datasets using specialized software and scripting languages to identify genetic variations or patterns. You might collaborate with laboratory scientists, clinicians, and other data professionals to design studies, interpret results, and ensure data accuracy. Tasks often include creating data visualizations, generating detailed reports, and troubleshooting technical issues in bioinformatics pipelines. This role requires a balance of independent data analysis work and teamwork to drive research or clinical projects forward.

What are the key skills and qualifications needed to thrive as a genomic data analyst?

To thrive as a Genomic Data Analyst, you need strong skills in bioinformatics, statistical analysis, and a background in genetics or a related field, usually supported by a degree in biology, data science, or computational science. Familiarity with tools like R, Python, UNIX/Linux systems, and genomic databases, as well as experience with next-generation sequencing (NGS) data analysis pipelines, are highly valuable. Excellent problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data accurately and explain findings to interdisciplinary teams. These skills are crucial for translating complex genomic datasets into actionable insights that inform research and clinical decisions.

How much do genomic data analysts make?

Genomic data analysts typically earn a median annual salary of around $70,000 to $90,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced analysts with advanced skills in bioinformatics and programming can earn over $100,000 annually.

What are the most commonly searched types of Genomic Data Analyst jobs in Georgia?

The most popular types of Genomic Data Analyst jobs in Georgia are:

What are popular job titles related to Genomic Data Analyst jobs in Georgia?

For Genomic Data Analyst jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Genomic Data Analyst jobs in Georgia look for?

The top searched job categories for Genomic Data Analyst jobs in Georgia are:

What cities in Georgia are hiring for Genomic Data Analyst jobs?

Cities in Georgia with the most Genomic Data Analyst job openings:

Genomic Data Analyst jobs near you
Infographic showing various Genomic Data Analyst job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $69,780 per year, or $33.5 per hour.

Microbiologist IV (Genomic Data Engineer)

Seneca Holdings

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 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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