Biostatistics Consultant

New Brunswick, NJContract Duration: 9-36 monthsRate: NegotiableSalary: NA $1.00Responsibilities:Excellent employment opportunity for a Biostatistics Consultant in the New Brunswick, NJ area.Will partner closely with colleagues from the broader organization to extract raw data from servers, create analytical data files, and execute statistical analyses based on protocol specifications.Will include overseeing and implementing analyses against in-house observational data resources, including administrative healthcare claims, surveys, and electronic health records, as well as consultation and support to evaluate data external.Primarily responsible for developing code sets for team approval, creating data specification files and analytical files by writing and executing programs across our available observational databases, executing statistical analyses conducting quality assurance and code validation, reviewing programming code and data, drafting analysis reports, and supporting the final publication/presentation of results as part of an overall observational study.The analysts will also be expected to explore the implementation of new approaches for working with "big data" in healthcare.Some tasks may include exploratory visualization, development of macros and tools, and machine learning algorithms.Participation in the activities of the larger Epidemiology Department and the office of Chief Medical Officer will also be encouraged.Experience:An advanced degree in Biostatistics, Public Health, Epidemiology, Informatics,Computer Science or another related field is required.At least 5 years of experience in statistical programming (e.g. R, SAS), and/or database programming (e.g. SQL) is required.At least 5 years of experience in programming against large healthcare datasets is required.At least 2 years of relevant prior work experience in the healthcare industry within a pharmaceutical or device company, insurer, or within a health system is required.In-depth knowledge of the structure and caveats of healthcare claims databases, electronic medical records and/or hospital billing data is requiredKnowledge in epidemiologic and statistical concepts such as confounding, bias, cumulative incidence, incidence rate, regression models, survival analysesStrong written and verbal communication skills