Kelly Scientific is hiring Statistical HEOR Analysts employees to join Real world Research inTitusville, NJ, Raritan, NJ, or Remote locations. This opportunity is long term with no end date and the chance to work directly with one of the largest sponsor companies in the world. This person will join our Kelly FSP (Functional Service Provider) division, a managed solution provider and business unit of Kelly Services, Inc. This role is full-time and is offering full benefit options. As a Kelly FSP employee you may be eligible for Medical, Dental, Vison, 401K, and a variety of other benefits to choose from. You may also be eligible for paid time off, including holiday, vacation, and sick/personal time.
The Statistical HEOR Analysts plays a key role in support of real-world research projects. They are responsible for ensuring efficiency, timeliness, and quality of deliverables of statistical analysis.
**Flexible on leveling of position up to Senior Analyst if experience qualifies**
As an experienced Statistical Programmer
Designs and develops programs in support of complex claims or EHR data analysis and reporting activities.??
Applies technical and analytical expertise to develop and implement solutions for use on claims or EHR projects leading to increased efficiency and quality.??
Uses SAS, SQL, or other programming skills to create analytical datasets from health care claims, electronic health record, surveys, and other data sources by following protocols and statistical analysis plans.
Constructs outcome measures and other analytical variables through data cleaning and data manipulation.
Generates descriptive tables, figures, etc. based on desired format using SAS and analytical reports.
May develop standard macros using SAS for frequently used programs/based on the team’s requirement; document and manage library of source codes and algorithms for internal use
May use macros and advanced techniques to combine data from different data sources and databases.
Collaborates effectively with other statistical programmers and Real World Researchers and possibly cross-functional team members and counterparts to achieve project goals.?
Ensures continued compliance with required company and departmental training, time reporting and other business/operational processes as required for position.?
May contribute to departmental innovation and process improvement projects.
Ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines
Bachelor’s degree or higher and/or equivalent in quantitative sciences (mathematics, statistics, economics, etc.), data science/analytics, public health, or other relevant scientific field (or equivalent theoretical/ technical depth).
Experience and Skills:
Approximately 2+ years programming experience with increasing responsibility, preferably in a pharmaceutical, consulting, clinical or academic environment.
Advanced knowledge of relevant statistical programming languages including SAS (required), SQL (required), other relevant programming languages (e.g. R, Python etc. preferred), and data structures.?
Required working experience and knowledge with claims, EHR, registries, survey data.
Strong understanding and experience in resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete data sources.
Demonstrated experience planning and coordinating programming activities.
Demonstrated detail-oriented problem solving, analytical reasoning and decision-making skills.
Demonstrated experience working with cross functional stakeholder and teams.
Basic project management skills.
Demonstrated written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences.
Knowledge of applying statistics and epidemiology on RWD is preferred.
Experience of creating customized analytic tools (e.g., SAS Macros) is preferred.
Experience of populating complex tables and creating customized figures is preferred.
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