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- Tasks: Conduct analyses for epidemiologic studies using diverse data sources.
- Company: Join Planet Pharma, a top staffing firm recognised for excellence in global recruitment.
- Benefits: Enjoy remote work flexibility and the chance to work with a diverse team.
- Why this job: Make a real impact in healthcare while developing your statistical programming skills.
- Qualifications: 5+ years in RWE data manipulation; strong R or SAS programming skills required.
- Other info: This is a 12-month contract with potential for extension.
The predicted salary is between 36000 - 60000 £ per year.
Role: Real World Evidence Statistical Analyst/ProgrammerLocation: UK remoteContract: 12 month initial contract, likely to be extended The Real World Evidence Analyst will be responsible for implementing a range of moderate to complex analyses in support of epidemiologic studies using retrospective and prospective data, clinical and observational, and both existing data such as large health administrative databasesResponsibilitiesImplements cohort selection, variable derivation, data management, analyses for the RWE studiesReviews and assists in the development of the protocol or statistical analyses plan and table shells, as well as the planning of the programming phase of the studyConducts all programming work per RWE Good Programming Practices and QA/QC practicesQualificationsEducation fields: Epidemiology, Health Economics, Biostatistics or related field+5 years in manipulating RWE dataExperience working with large databases such as claims, EMR, registry data, clinical trial datasetsStrong R or SAS programming skillsAbout Planet Pharma:Planet Pharma is an American parented Employment Business/Agency that provides global staffing services with its head-quarters in Chicago and our EMEA regional office located in Central London. We have invested significantly in creating a robust international platform that enables us to work compliantly in 30+ countries with a current network of 2500+ active contractors globally as well as a very strong permanent / direct hire recruitment offering.Our specialist knowledge and close relationships with our clients and the wider industry really makes us unique in our field. Just recently we were recognised by FORBES as the 17th best professional staffing firm, and have won multiple awards from industry accredited bodies for our commitment to excellence and service delivery. We have extensive functional expertise including: Regulatory Affairs, Pharmacovigilance, QA, QC, Submissions experts, Clinical development, Quality, Biostatistics, and Medical Affairs / Writing.We are an equal opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation or age.www.planet-pharma.com
Statistical Analyst employer: LinkedIn
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LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistical Analyst
✨Tip Number 1
Familiarise yourself with Real World Evidence (RWE) methodologies. Understanding the nuances of cohort selection and variable derivation will give you an edge in discussions during interviews.
✨Tip Number 2
Brush up on your R and SAS programming skills. Being able to demonstrate your proficiency in these languages during technical assessments or interviews can significantly boost your chances.
✨Tip Number 3
Network with professionals in the epidemiology and biostatistics fields. Engaging with industry peers can provide insights into the role and may even lead to referrals.
✨Tip Number 4
Stay updated on the latest trends in health economics and biostatistics. Showing that you are informed about current developments can impress interviewers and demonstrate your commitment to the field.
We think you need these skills to ace Statistical Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Statistical Analyst position. Understand the key responsibilities and qualifications required, such as experience with RWE data and programming skills in R or SAS.
Tailor Your CV: Customise your CV to highlight relevant experience in epidemiology, health economics, or biostatistics. Emphasise your skills in manipulating large databases and any specific projects that align with the responsibilities outlined in the job description.
Craft a Strong Cover Letter: Write a compelling cover letter that connects your background to the role. Discuss your experience with cohort selection, variable derivation, and your familiarity with RWE Good Programming Practices. Make it clear why you are a great fit for Planet Pharma.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects attention to detail, which is crucial for a role involving statistical analysis.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Skills
Make sure to highlight your experience with R and SAS programming during the interview. Be prepared to discuss specific projects where you manipulated real-world evidence data, as this will demonstrate your technical proficiency and relevance to the role.
✨Understand the Role of Epidemiology
Familiarise yourself with epidemiologic studies and how they utilise retrospective and prospective data. Being able to articulate your understanding of these concepts will show that you are well-prepared and knowledgeable about the field.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to cohort selection or variable derivation. Practising these scenarios can help you think on your feet and showcase your analytical skills effectively.
✨Demonstrate Attention to Detail
Since the role involves QA/QC practices, be ready to discuss how you ensure accuracy in your work. Providing examples of how you've maintained high standards in previous projects will illustrate your commitment to quality.