SUMMARY

RESPONSIBILITIES

• Perform both software development as well as data analysis; including information retrieval and text-driven data mining and analysis.
• Develop software using a variety of software tools, utilizing programming languages such as Java, C, SQL, scripting languages (e.g. Perl, Python), and analysis platforms (e.g., Matlab, R) in a UNIX environment.
• Develop and apply predictive analytic models to a variety of scientific data.
• Need to be well-rounded and adaptable to a small team environment, with excellent oral and written communication skills.
• Conduct statistical analysis, as well as utilize experience/familiarity with data partition and visualization concepts like classification, clustering, similarity metrics, machine learning (supervised and unsupervised), and natural language processing.
• Decompose high-level scientific and user requirements into functional requirements.
• Resolve technical issues through debugging, research, and investigation.
• Responsible for version control / documentation of artifacts produced through approved procedures and protocols.
• Work closely with technical project leadership and client to plan, develop, and deliver system modernization, enhancement, and operations and maintenance capabilities

REQUIREMENTS

• Bachelor's degree and 3+ years relevant professional experience in variety of data mining and information retrieval. Additional education (MS or higher) can substitute for experience.
• Experience working with scientific or engineering data
• Analytical experience should include skills with statistical analysis, information retrieval, natural language processing, classification / clustering, and various machine learning methods.
• Strong analytical skills and experience in information retrieval and text-driven data mining and analysis
• Programming skills in some of the following: Java, C, SQL, scripting languages (e.g. Perl, Python); and analysis platforms (e.g., Matlab, R) in a UNIX environment
• Experience working in a Unix or Linux environment
• Skills in problem decomposition across multiple processors, achieving optimal processor performance, and development of computationally efficient algorithms. Skill in computational performance tuning

• Strong problem identification and analytical skills
• Possession of excellent oral and written communication skills including the ability to create and deliver clear reports and documentation

PREFERENCES

• Experience working in small teams in a research, analytical, or engineering environment preferred.
• Knowledge of computational biology and bioinformatics is a plus.
• Ability to perform SQL queries
• Degree in computer science, information systems, bioinformatics, engineering, or science is preferred.
• Knowledge of or experience with text analytic tools such as Mallet, Mahout, and/or OpenNLP is a plus.

TERMS

LOCALE

COMPENSATION

HOW TO APPLY

DEADLINE

POLICY