Biomedical Data Scientist

Job ID:
Job date: 2018-06-20
End Date: 2018-08-19

Company : Booz Allen Hamilton 

Country : United States 

Role : Research Scientist 


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Job Description:
Are you excited at 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 up 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 the health market. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leaders make informed decisions. You’ll provide your customer 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 the health market. Empower change with us.

Build Your Career:

At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you can expect:

-access to online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk

-a chance to change the world with the Data Science Bowl—the world’s premier data science for social good competition

-participation in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government

You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want, as you chart your own course for success.

You Have:

  • 2+ years of experience in statistics, mathematical modeling, bioinformatics, and clinical data management
  • Experience with R, Python and designing and implementing machine learning, data mining, statistics, and graph algorithms
  • Experience with database design and management systems, data management, and organizations schemas
  • Experience with Linux systems and programming using languages, including Python, Perl, Java, C++ or C#
  • Public Trust clearance
  • MS degree in Mathematics, Statistics, CS or Computational Biology
Nice If You Have:
  • Experience with publishing articles in peer-reviewed publications
  • Ability to explain and present complex scientific concepts orally and in writing
  • Ability to function independently with limited oversight
  • Ability to work within a team environment and be flexible to meet evolving client needs
  • Possession of excellent oral and written communication skills
  • PhD degree in Mathematics, Statistics, CS, Computational Biology, or a related field preferred


Requeriments :

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Additional Info:
Clearance :

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Public Trust clearance is required.

We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.

[Click Here to Access the Original Job Post]