ZipRecruiter

Log In

2

Entry Level Genomic Data Analyst Jobs in Atlanta, GA

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.

Asta CRS Inc.

Be Seen First

Junior Data Analyst

Atlanta, GA · On-site

$28 - $30/hr

The Junior Data Analyst plays a crucial role in supporting data-driven decision-making by gathering ... This entry-level position offers hands-on experience working with data to generate insights and ...

New

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 ...

next page

Showing results 1-20

All JobsGenomic Data Analyst JobsEntry Level Genomic Data Analyst JobsEntry Level Genomic Data Analyst Jobs in Atlanta, GA

Entry Level Genomic Data Analyst information

See Atlanta, GA salary details

$12

$31

$59

How much do entry level genomic data analyst jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for entry level genomic data analyst in Atlanta, GA is $31.66, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $35.38 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Genomic Data Analyst vs Bioinformatics Technician?

AspectEntry Level Genomic Data AnalystBioinformatics Technician
Required CredentialsBachelor's in Genetics, Biology, or related field; basic knowledge of bioinformatics toolsBachelor's in Bioinformatics, Computer Science, or related; familiarity with laboratory data
Work EnvironmentResearch labs, biotech companies, healthcare institutionsLaboratories, research facilities, biotech firms
Employer & Industry UsagePharmaceuticals, biotech, academic researchResearch institutions, biotech companies, hospitals
Common Search & ComparisonYesYes

The main difference between an Entry Level Genomic Data Analyst and a Bioinformatics Technician lies in their focus. The analyst primarily interprets genomic data, performs statistical analysis, and supports research projects. The technician typically handles laboratory data management, sample processing, and technical support. Both roles require similar educational backgrounds but differ in daily tasks and focus areas within the genomics field.

How much do entry level genomic data analysts make?

Entry-level genomic data analysts typically earn between $50,000 and $70,000 annually, depending on location, education, and industry. Starting salaries may be lower in some regions, but proficiency with tools like R or Python and knowledge of genomics can lead to higher compensation over time.

How to become an entry level genomic data analyst?

To become an entry-level genomic data analyst, candidates typically need a bachelor's degree in biology, genetics, bioinformatics, or a related field. Developing skills in programming languages such as Python or R, understanding genomic databases, and gaining experience with data analysis tools are important. Internships or entry-level positions can provide practical experience and help build relevant skills for this role.

What are the most commonly searched types of Genomic Data Analyst jobs in Atlanta, GA?

The most popular types of Genomic Data Analyst jobs in Atlanta, GA are:

What are popular job titles related to Entry Level Genomic Data Analyst jobs in Atlanta, GA?

For Entry Level Genomic Data Analyst jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Entry Level Genomic Data Analyst jobs in Atlanta, GA look for?

The top searched job categories for Entry Level Genomic Data Analyst jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Entry Level Genomic Data Analyst jobs?

Cities near Atlanta, GA with the most Entry Level Genomic Data Analyst job openings:

Entry Level Genomic Data Analyst jobs near you

Microbiologist IV (Genomic Data Engineer)

Seneca Holdings

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 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.

Apply