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Booz Allen Hamilton · 1 day ago

Bioinformatics Specialist

Atlanta, GA

Full-time

Hybrid

Mid Level

$62K/yr - $141K/yr

Booz Allen Hamilton is a company focused on using data science for good in public health. They are seeking a Bioinformatics Specialist to analyze complex datasets and provide insights to improve public health outcomes by understanding and interpreting client data.

ConsultingCyber SecurityIT InfrastructureManagement ConsultingSecurity

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

You’ll work closely with your customers to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle

You’ll analyze analytics and automation and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help the client make informed decisions

You’ll provide your customers with a deep understanding of their data, what it all means, and how they can use it

Qualification

BioinformaticsPythonNextflowNext-generation sequencingSQLStatistical techniquesMachine learningData managementCloud environmentsVisualization toolsCommunication skills

Required

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

Master's degree

Preferred

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