Real World Evidence (RWE) Associate
KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.
Our data analytics and software platforms support data science, commercial operations, real world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies.
We have more than 170 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform.
Job Overview:
We are currently seeking an experienced Real World Evidence (RWE) Associate. This position is responsible for the scientific and methodological aspects of all observational database analytics and evidence synthesis with minimal supervision.
Job Description
- Provide consultation on all aspects of internal RWE databases studies/analyses including objectives, study design, data source identification, protocol development, statistical analysis and interpretation.
- Execute RWE studies/analyses by SAS/R/Python + SQL based on claim database, EMR database, registry data and public used files.
- Generate high quality, readily interpretable deliverables (e.g., data tables, graphs, charts, study reports).
- Visualize data and develop dashboard by using Tableau/R-Shiny
- Develop mock table shells, prepare specifications, and ensure quality control on analyses conducted by junior programmers.
- Effective manage and track all studies/analyses to ensure timelines are met and all stakeholders aware of project status.
- Effectively communicate research findings internally and externally, as appropriate (e.g., congresses, publications)
- Ensure latest methodologies and analytical techniques are implemented.
- Contribute to the continuing education of relevant line functions on RWE methodologies.
Requirements
- Minimum MS in statistics, biostatistics, epidemiology, health policy, computer science or similar.
- At least 2 years’ hands-on experience in observational data (claims, EHR and registry data) studies.
- Professional programming skills with SAS/R and SQL. Python programming experience is a plus.
- Strong data visualization capability with R-Shiny. Tableau experience is a plus
- Demonstrated competence in the application of statistical techniques, such as hypothesis testing, regression analysis, machine learning, etc..
- Excellent interpersonal communication and study management skills.
- Ability to take detailed HE&OR study results and communicate them in a clear, non-technical manner to internal cross-functional teams, using language that resonates with the teams, while maintaining the integrity of key findings.
- Ability to work effectively in a constantly changing, diverse, and matrix environment.
- Ability to proactively identify new opportunities and solutions
- Strong working knowledge of the Microsoft Office Suite (Word, PowerPoint, Excel)
KMK Consulting, Inc. is a fast growing company with passionate, energetic, and dedicated people working in a dynamic and friendly environment. KMK Consulting, Inc. specializes in providing commercial operations support for the healthcare industry. We are hiring talented individuals who are interested in achieving individual and clients’ success. KMK Consulting, Inc. offers:
- Great career opportunities and fast-paced development
- Competitive salary, vacation, self-directed 401(k) plan, life and health insurance benefits
- Centrally located office in a metropolitan atmosphere with convenient access to major transportation, highways and attractive amenities