Bioinformatics Specialist
Booz Allen Hamilton
Atlanta, GA4h agovia LinkedIn
This job at a glance
- Who can apply
- New grads, no experience needed · Master's degree
- Must know
- PythonRLinuxData analysisSQLNoSQL
- Work
- On-site in Atlanta
- Pay
- Not stated by the employer.
- Skill demand
- Python34%Data analysis33%Linux6%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 29, 2026 · still open
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About the Role
This position is located in Atlanta, GA.
Key Responsibilities
- Work closely with customers to understand their questions and needs.
- Dig into data-rich environments to find pieces of information puzzles.
- Analyze analytics and automation.
- Use the right combination of tools and frameworks to turn disparate data points into objective answers to help the client make informed decisions.
- Provide customers with a deep understanding of their data, what it all means, and how they can use it.
Requirements & Tech Stack
- Experience with bioinformatics and genomic toolkits, databases, and scripting languages, including Python, R, or Shell.
- Experience using parallel programming capabilities through workflow tools, including Nextflow, on Linux-based high-performance computing environments.
- Experience with next-generation sequencing, omics data analysis, and open-source omics analysis tools and workflows as they apply to public health genomics.
- Knowledge of nf-core compliance.
- Knowledge of data management using SQL or NoSQL-based technologies.
- Knowledge of statistical techniques, including multivariate analysis and hypothesis testing for omics data analysis.
- Ability to conduct analysis, interpretation, and communication of complex large datasets independently, clearly, and concisely.
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
Qualifications
- Master's degree
Nice If You Have
- Experience incorporating CI/CD, DevSecOps, and MLOps best practices into the development process.
- Experience working in cloud-based environments using AWS, Azure, and data warehousing solutions, including Databricks.
- Experience with a wide range of supervised and unsupervised machine learning techniques, including neural networks, decision trees, logistic regressions, or dimension reduction.
- Experience with visualization tools, including Power BI, Tableau, ArcGIS, or Splunk.
- Experience with SAS and SSPS programming using advanced programming methods and techniques.
- Ability to write white papers and scientific and technical manuscripts for publication.
- Doctorate degree