Are you excited by the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection to cancer research, to national intelligence — you know the answers are in the data.

We have an opportunity for you to use your analytical skills to improve public health. 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. Join us as we use data science for good in public health. This position is located in Atlanta, GA or Washington DC.

Join us. The world can’t wait.

You Have:

• 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

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

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.