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Our company is one of the nation's largest publicly traded health benefits companies, with approximately 6.4 million members located primarily in 18 states and Puerto Rico. Humana offers coordinated health benefits coverage through a variety of traditional, Internet-based, and consumer-driven plans for employer groups, government-sponsored programs and individuals. Humana's products and services are designed to help consumers take charge of their own health by connecting them and their doctors to customized, up-to-the-minute medical and life enhancing information.

The healthcare industry is at a critical inflection point and is reinventing itself around a consumer-centric vision. Humana is the leader in innovative health benefits and is at the forefront of this great healthcare revolution. In order to maintain its lead, Humana has launched a new research center with the goal of providing the company with the market intelligence required to succeed in a highly competitive and rapidly changing marketplace. As an integral part of the Center for Health Metrics, the Computer Scientist will build predictive modeling and other applications to estimate a member's future healthcare expenditure and design clinical intervention programs to improve health outcomes through the use of knowledge-discovery tools utilizing both clinical and non-clinical data assets.

Humana - ranked #6 in top 500 Most Innovative users of Technology (InformationWeek)

Research Scientist

Role Summary:

As a research scientist, you will be involved in data analysis, algorithm and model development, computational design/implementation, and documentation and presentation of technical information. You will quickly and thoroughly learn new tools and theories, and apply them to current problems. The research scientist will effectively prototype computational designs and direct, implement and optimize the algorithms. The research scientist will also apply these algorithms and applications to real client data and discuss results of modeling solutions with other areas of the business.

Contributions: 1) Identify, solve and deliver solutions to problems in multiple areas of clinical prediction algorithms, outcomes analysis, actuarial modeling, customer and consumer segmentation, and consumer behavioral analysis and simulation.

2) Develop algorithms, strategies and methodologies using the latest technologies in neural networks, machine learning, statistical modeling, pattern recognition, and artificial intelligence to support model generation for computationally intelligent software components. Prototype and optimize algorithms in a software language. Develop detailed design specifications to guide the implementation and qualification of the solution.

3) Participate in architectural definition, design, prototyping, implementing, and analysis of applications.

4) Develop test cases and strategies to demonstrate correct algorithm performance. Develop computational performance measures and testing strategies to demonstrate satisfactory execution times when solving realistic problems.

5) Working in a team environment with business and optimization experts, develop new solutions and configure existing solutions utilizing large and messy data sets. Communicate the results and benefits to non-technical areas.

Environmental Requirements
Proven ability to adapt to changing requirements by quickly designing and implementing new algorithms and program features, due to short research and development cycles.
The ability to critically assess program and algorithm design.
The ability to multi-task across projects.

Background, Knowledge and Skills Essentials:

Bachelor of Science in Engineering, Computer Science, Mathematics or Statistics, Masters preferred.

Strong data-analysis background in non linear time series, discrete transaction data, statistics and nonlinear dynamical systems with intimate familiarity in massaging and transforming raw data

Algorithm background in nonlinear signal processing, non-linear optimization, information visualization, , data mining, artificial intelligence, data compression and fusion

Familiarity with building prototypes including graphical user interface

Excellent programming ability, such as Matlab, C/C++, Java, and VB; additional programming skills in SAS and SPSS is a plus.

Experience in working with large data sets and relevant experience in relational databases (Oracle, Access, MySQL) and SQL/PL programming

Strong written and verbal communication skills

Clinical, healthcare or insurance background is a plus

Publication record is a plus

SPONSORSHIP IS NOT AVAILABLE FOR THIS POSTION

Contact and send your resume to:
Timothy State
502-580-1339
tstate@humana.com