Real World Data Analyst

Job description

Your Responsibilities :
Real World Data & Analytics
GSK's Real World Data & Analytics team (RWD&A) partners closely with Real World Evidence & Epidemiology, and Value Evidence & Outcomes to support drug development and patient access. We provide insight into the patterns, burden, and occurrence of disease, cost and healthcare utilisation, and the safety and effectiveness of treatment, to provide objective evidence of the value of our medicines through the analysis of electronic health records, administrative claims, patient registries and other observational health data sources.

Roles and Responsibilities
Within this role you will:
• Transform real-world data into actionable insights in Epidemiology and Health Outcomes research through hands-on manipulation and statistical analysis of complex health datasets.
• Consult and collaborate with research partners to inform, conduct, analyse, interpret and report studies using real world healthcare data.
• Represent RWD&A as a subject matter expert on Real World Data, its use and capabilities.
• Investigate, critically appraise and apply innovative methods, technologies and tools to better leverage real world data.
• Explore novel ways to refine and streamline routine analytics through the development and application of robust approaches

Closing date for applications: 4th June 2019

When applying for this role, please use the 'cover letter' of the on-line application to describe how you meet the competencies for this role, as outlined in the job requirements above.

The information that you have provided in your cover letter and CV will be used to assess your application.

During the course of your application you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process.

If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact 0808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process.

Thank you for your interest in this opportunity.

*LI-GSK

Why You?

Basic qualifications:
• Hold a Master's degree or PhD, or have equivalent experience, in a quantitative discipline such as statistics, epidemiology, health economics or biostatistics. Prior experience working with population-based health outcomes data is highly desirable.
• Be passionate about working hands-on with data, and proficient in manipulating large, complex datasets in a statistical programming language such as SAS, R or Stata.

Preferred qualifications:
• Have excellent problem-solving and analytical skills and enjoy finding efficient and innovative solutions to challenging problems
• Be self-reliant with the ability to deliver robust, timely, high-quality analytics.
• Be an enthusiastic collaborator and enjoy working on a wide range of projects and requests across multiple therapy areas.
• Be an effective communicator and able to articulate complex concepts to diverse audiences.

Why GSK? :
GlaxoSmithKline (GSK) is a science-led, global healthcare company, employing over 100,000 people in more than 115 countries. Our mission is to improve the quality of human life by enabling people to do more, feel better, live longer.

Contact information:
You may apply for this position online by selecting the Apply now button.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK HR Service Centre at 1-877-694-7547 (US Toll Free) or (outside US).

GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.

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