Bioinformatics Specialist

About the Role

The Bioinformatics Specialist opportunity involves unlocking secrets held by datasets, driven by advances in IoT, machine learning, and artificial intelligence. The role focuses on turning complex data sets into useful information to solve public health challenges. You will work closely with customers to understand their needs, analyze data-rich environments, and use appropriate tools and frameworks to provide objective answers for informed decision-making.

Key Responsibilities

• Work closely with customers to understand their questions and needs.
• Dig into data-rich environments to find pieces of information.
• Analyze analytics and automation.
• Use the right combination of tools and frameworks to turn disparate data points into objective answers.
• Provide customers with a deep understanding of their data, its meaning, and how to 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.

Qualifications

• Master's degree

Nice to 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

Location: Atlanta, GA

Compensation Range: $61,900.00 - $141,000.00 (annualized USD)

Posting closes within 90 days from the Posting Date.