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- Tasks: Lead analyses for oncology studies and manage complex data projects.
- Company: Join IQVIA, a global leader in clinical research and healthcare intelligence.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact on patient outcomes while collaborating with top scientists.
- Qualifications: Master's or PhD in relevant fields with programming experience required.
- Other info: This is a mid-senior level contract position based in the UK.
The predicted salary is between 28800 - 43200 £ per year.
Flatiron Data Analyst, Real World Solutions
Flatiron Data Analyst, Real World Solutions
3 days ago Be among the first 25 applicants
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Flatiron Data Analyst Real World Solutions
United Kingdom and Europe
Job Overview
The senior data analyst sits within our Real-World Solutions team and will be responsible for leading analyses for oncology observational studies under one client portfolio. It is important for this individual to have knowledge in observational research, take initiative, and have experience managing multiple studies and complex analyses. Also Prior programming experience using Flatiron Health data required .
Essential Functions
- Lead development of statistical programs and conduct analyses using secondary real world data sources, including claims, EHR, HEOR, and genomic data.
- Support development of other study documents including protocols, analysis specifications, and study reports
- Lead the feasibility of real-world data sources to characterize patient population, build patient cohorts, and define and validate key variables specific to study objectives.
- Plan and program the integration of data from multiple sources.
- Conduct analyses to characterize patient cohorts and QC datasets within time, budget, and quality standards for a variety of real-world studies.
- Manage and contribute to quality control of programs and automation of data refreshes.
- Communicate timelines, progress reports, and results to project team and key stakeholders.
- Provide technical, programming, and statistical expertise and independently bring project solutions to team for complex studies.
- Closely collaborate with epidemiologists and other scientists to develop and refine data management and analytic procedures, code lists, and workflows
Qualifications
- Master\’s Degree in Biostatistics, Epidemiology, Data Science or related field with 5-8 years relevant experience or PhD with 2 years of relevant experience required.
- Knowledge of statistics, programming, and real-world studies
- Prior programming experience using Flatiron Health data required .
- Intermediate knowledge of SAS preferred; R acceptable.
- Good organizational, interpersonal, and communication skills
- Ability to effectively manage and prioritize multiple tasks and projects.
- Excellent accuracy and attention to detail.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
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Flatiron Data Analyst, Real World Solutions employer: Nanosep AB
Contact Detail:
Nanosep AB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Flatiron Data Analyst, Real World Solutions
✨Tip Number 1
Familiarise yourself with Flatiron Health data and its applications in oncology observational studies. Understanding how to leverage this data will not only enhance your discussions during interviews but also demonstrate your initiative and readiness for the role.
✨Tip Number 2
Network with professionals in the field of real-world solutions and oncology research. Engaging with industry experts can provide you with insights into current trends and challenges, which you can reference in your conversations with our team.
✨Tip Number 3
Brush up on your programming skills, particularly in SAS and R. Being able to discuss specific programming techniques or past projects where you've used these languages will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience managing multiple studies and complex analyses. Think of examples that showcase your organisational skills and ability to meet deadlines, as these are crucial for the role.
We think you need these skills to ace Flatiron Data Analyst, Real World Solutions
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Flatiron Data Analyst position. Familiarise yourself with the essential functions and qualifications required, especially focusing on observational research and programming experience with Flatiron Health data.
Tailor Your CV: Customise your CV to highlight relevant experience in biostatistics, epidemiology, or data science. Emphasise your knowledge of statistics, programming skills, and any previous work with real-world data sources.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for oncology observational studies. Mention specific projects where you led analyses or managed multiple studies, and how your skills align with the responsibilities outlined in the job description.
Highlight Technical Skills: In your application, make sure to clearly list your programming skills, particularly in SAS and R. Provide examples of how you've used these tools in past roles to conduct analyses or manage data, as this is crucial for the position.
How to prepare for a job interview at Nanosep AB
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with statistical programming and real-world data analysis. Highlight specific projects where you led analyses, especially in oncology observational studies, to demonstrate your expertise.
✨Familiarise Yourself with Flatiron Health Data
Since prior programming experience using Flatiron Health data is required, make sure you understand its structure and nuances. Be ready to explain how you've used this data in past projects and the impact it had on your analyses.
✨Prepare for Technical Questions
Expect questions related to SAS and R programming. Brush up on your technical skills and be ready to solve problems or provide examples of how you've tackled complex analyses in previous roles.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice articulating your thought process clearly, especially when discussing timelines, project progress, and results. This will show your ability to collaborate with team members and stakeholders.
