Details: Compensation: competitive based on experience.
21 Longwood Avenue
Core responsibilities and specific duties:
- Manage the day-to-day activities of the Lown Institute data projects
· Extract, clean, and validate data in preparation for analysis, starting from raw data in a large relational database
· Use advanced data analysis methods (from machine learning, artificial intelligence, statistics, epidemiology, etc) to assist in building predictive models of health care outcomes from an integrated administrative database with over 100 million patients and over 10 billion records.
· Translate requirements into functional code and solutions.
· Establish credibility and strong working relationship with the entire team
· Design and code for adherence to established standards and best practices
· Design, build, and maintain efficient, reusable, and reliable code of the best possible performance, quality, and responsiveness
· Maintain our repository and relevant documentation
· Help maintain code quality, organization, and automatization
· Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues
· Carry out exploratory analyses and prepare reports summarizing results
· Assist in publishing papers on our findings, systems, and methodology
· Implementing and configuring reporting solutions
· Data visualization and dashboarding
- Undergraduate or graduate degree in statistics, public health, epidemiology, biostatistics, computer science, or informatics
- Experience in statistical methods, particularly survival analysis, Cox regression and multilevel modeling
- Proficiency in SAS
- Ability to understand and work with complex data sets and relationships
- Significant experience with advanced data analysis, including computer programming skills needed to carry out analysis and an understanding of the theoretical basis of these methods
- Working expertise with relational datasets and database management software
- Proficiency in SQL, R, Python, or a similar programming language strongly preferred (willingness to learn is required)
- Experience with Medicare or commercial claims data strongly preferred
- Strong communication and collaborative research skills
- Ability to drive projects independently with moderate support
- Intermediate proficiency in object-oriented languages such as C#, Java, or C++, or other comparable language(s) are also desirable
- Ability to support other statistical applications, and to implement statistical models in a self-guided manner
- Strong command of verbal and written English
- Outstanding critical thinking and attention to detail
- Time management skills to complete work within allocated time frames
- Ability to appropriately summarize and effectively communicate results
- Experience with health care billing and coding
- Understanding of claims data, how data is stored in analytical platforms, and how to use and apply claims data
An exceptional candidate will also have taken some courses in discrete mathematics, and will demonstrate skills in mathematical reasoning beyond those taught in elementary calculus. Engineering courses can further serve to strengthen a candidate’s application in the absence of higher-level math.
Compensation: competitive based on experience.
How to Apply: Submit a cover letter and CV or inquiries by Friday, October 19, 2018 to hr@LownInstitute.org.
Generous Benefits Package
Level of Language Proficiency
Minimum Education Required