In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI). Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems. By joining our team, you will play a key role in helping to our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace.
Work you’ll do
The Bioinformatics Data Scientist will work closely with our team of senior bioinformaticians and epidemiologists on projects within our Federal Health sector. In this role, you will be responsible for:
Managing and analyzing large genomic databases from epidemiological and clinical studies.
Data manipulation, algorithmic implementation, statistical programming, and integrated genomic analyses.
Installing, troubleshooting and running analytical pipelines using open-source and commercial scientific software on Unix/Linux and Cloud-hosted platforms, and using publicly available bioinformatics and genomic databases and tools.
Deloitte’s Government and Public Services (GPS) practice – our people, ideas, technology and outcomes—is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights.
Masters degree in Biomedical Sciences, Computer Science, Engineering, Mathematics, Public Health or other health-related field
Ability to obtain and maintain a Public Trust Security clearance
2+ years of experience with in the field of Biological and Biomedical Sciences
2+ years of experience with analysis packages and programming languages such as R, Python, SPSS, SQL, and SAS
2+ years of experience with scientific research methods as applied to quantitative data analysis
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future