Bioinformatics System Developer in Rockville, MD at Booz Allen Hamilton Inc.

Date Posted: 7/31/2018

Job Snapshot

Job Description

Job Number: R0034148

Bioinformatics System Developer

The Challenge:

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 with developing genomics, bioinformatics, or health systems as a bioinformatician or developer

-Knowledge of current genomics technology and strategies to identify best-of-breed solutions that pipeline together

-Knowledge of Linux Enterprise, Apple OS, Windows, JavaScript, C#/.NET, Java, PERL, Python, R, and SQL

-Knowledge of genomics databases, Pathways, data mining, visualization of genomics objects, genomics and health standards, and the vocabulary of statistical analysis

-Ability to communicate complex concepts concisely and interact with onsite clients and staff daily

-Public Trust clearance

-BS degree in Bioinformatics, Computational Biology, or Computer Science with a Health and Bioinformatics focus


Nice If You Have:

-Experience with open source tools, including Galaxy and Plink

-Experience with developing systems on the Cloud, including AWS

-Experience with open source Cloud platforms and accompanying technology, including Hadoop, Accumulo, and Tsunami

-Experience in working with common APIs, including REST

-Experience with Microsoft Office, including Excel spreadsheets, PowerPoint, Word Documents, and Project

-Knowledge of medical and genomics terminology and vocabulary, including UMLS, HL7, GO ontology, and OMIM

-MS degree in Bioinformatics, Computational Biology, or Computer Science with a Health, Genomics, and Bioinformatics focus preferred; PhD degree a plus


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.

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