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- Tasks: Analyze Real World Evidence data and support statistical programming using SAS.
- Company: Join a leading Pharmaceutical company in the Berkshire area with global project opportunities.
- Benefits: Work on international projects and collaborate with experts worldwide.
- Why this job: Make an impact in healthcare by analyzing real-world data and contributing to innovative studies.
- Qualifications: Relevant degree and experience in RWE, RWD, or Epidemiology; SAS knowledge required.
- Other info: Equal Opportunities employer, welcoming diverse applicants from STEM backgrounds.
The predicted salary is between 36000 - 60000 £ per year.
We are currently looking for a RWD (Real World Data) Analyst to join a leading Pharmaceutical company based in the Berkshire area. As the RWD (Real World Data) Analyst, you will be responsible for supporting the analysis of Real World Evidence (RWE) internal database studies for current or future compounds. This role is global in scope, offering you the chance to work on a variety of international projects and collaborate with experts worldwide.
KEY DUTIES AND RESPONSIBILITIES:
Your duties as the RWD (Real World Data) Analyst will be varied however the key duties and responsibilities are as follows:
1. As the RWD (Real World Data) Analyst, you will support statistical programming activities in Real World Evidence (RWE), mainly using SAS.
2. As the RWD (Real World Data) Analyst, you will provide input on study design and analysis plans where necessary.
3. As the RWD (Real World Data) Analyst, you will develop, validate, maintain, and document analysis programs and other study documents.
4. As the RWD (Real World Data) Analyst, you will provide technical database expertise to stakeholders and ensure efficient production of statistical outputs.
ROLE REQUIREMENTS:
To be successful in your application to this exciting role as the RWD (Real World Data) Analyst we are looking to identify the following on your profile and past history:
1. Relevant degree in a related field.
2. Proven industry experience in Real World Evidence (RWE), Real World Data (RWD), Epidemiology, or Health Outcomes environment. Experience with SAS..
3. A working knowledge and practical experience with large healthcare databases such as CPRD or Merative MarketScan / US Claims Data.
Key Words: RWD / Real World Data / Database Analyst / Programmer / SAS Programming / Epidemiology / Health Outcomes / Statistical Programming / Healthcare Databases / Pharmaceutical / Data Analytics
Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the STEM sectors, combining recruitment expertise with scientific knowledge to help you advance your career.
RWD (Real World Data) Analyst employer: Hyper Recruitment Solutions
Contact Detail:
Hyper Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land RWD (Real World Data) Analyst
✨Tip Number 1
Familiarize yourself with SAS programming, as it's a key requirement for this role. Consider taking online courses or tutorials to sharpen your skills and demonstrate your proficiency during the interview.
✨Tip Number 2
Gain a solid understanding of Real World Evidence (RWE) and Real World Data (RWD) concepts. Being able to discuss recent trends and case studies in RWE will show your passion and knowledge in the field.
✨Tip Number 3
Network with professionals in the pharmaceutical industry, especially those working with healthcare databases like CPRD or Merative MarketScan. Engaging in discussions can provide insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your experience with large healthcare databases during the interview. Be ready to share specific examples of how you've utilized data analysis in past projects to support your candidacy.
We think you need these skills to ace RWD (Real World Data) Analyst
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in Real World Evidence (RWE) and Real World Data (RWD). Include specific projects or roles where you utilized SAS programming and worked with large healthcare databases.
Tailor Your CV: Customize your CV to reflect the key duties and responsibilities mentioned in the job description. Use keywords like 'statistical programming', 'study design', and 'health outcomes' to align your application with the role.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are a great fit for the RWD Analyst position. Discuss your passion for data analysis in the pharmaceutical industry and how your skills can contribute to international projects.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any grammatical errors or typos, as attention to detail is crucial in this analytical role.
How to prepare for a job interview at Hyper Recruitment Solutions
✨Showcase Your SAS Skills
Since the role heavily involves statistical programming using SAS, be prepared to discuss your experience with it. Bring examples of projects where you utilized SAS for data analysis and how it contributed to the outcomes.
✨Understand Real World Evidence
Familiarize yourself with Real World Evidence (RWE) concepts and methodologies. Be ready to explain how RWE can impact decision-making in the pharmaceutical industry and provide insights into your previous work in this area.
✨Discuss Study Design Experience
The job requires input on study design and analysis plans. Prepare to talk about your experience in designing studies, including any challenges you faced and how you overcame them. This will demonstrate your analytical thinking and problem-solving skills.
✨Highlight Database Expertise
Since the role involves providing technical database expertise, be sure to mention your experience with large healthcare databases like CPRD or Merative MarketScan. Discuss specific projects where you leveraged these databases to derive meaningful insights.
