At a Glance
- Tasks: Support data processing and logistics in a fast-paced healthcare consultancy.
- Company: Join Adelphi Real World, a global leader in healthcare consultancy.
- Benefits: Gain valuable experience, develop skills, and work in a supportive environment.
- Other info: Dynamic role with opportunities for growth and learning.
- Why this job: Make a real impact in healthcare by working with data that drives change.
- Qualifications: Mathematics or Computer Science background; Excel skills essential.
The predicted salary is between 30000 - 40000 £ per year.
Adelphi Real World is a global consultancy in healthcare. We collect and interrogate real world data to aid the pharmaceutical industry in understanding the management and treatment of specific diseases. This understanding informs the successful development of pipeline assets and the positioning of inline products. Real world data can also be used to leverage Health Outcomes / Economic argumentation through statistically validated publications.
The main function of this role is to assist with the logistical and administrative support across all operations activities, with an emphasis on data processing fieldwork control and basic scripting. This is a busy role that demands high levels of accuracy and is a fantastic opportunity for someone who wants to be challenged, developed and valued.
Accountabilities:
- Accurately track and monitor all fieldwork materials via different operational systems.
- Provide logistical support during fieldwork, analysis and processing of data both from pen and paper and online surveys using a variety of tools including but not limited to SPSS, Confirmit and Excel.
- Liaise with external suppliers, operations teams and research teams to ensure the smooth and effective delivery of all projects.
- Check online surveys for logic or text errors pre-launch.
- Interpretation, resolution of and ability to respond to queries/requests from project teams and external agencies.
- Work with research teams to develop databases that meet their analysis requirements.
- Ability to work within other areas of Data Services such as script writing and translation of online surveys during high demand.
The person:
- Mathematics or Computer Science background.
- Ability to use the basic features of Excel is essential. A knowledge of the more advanced features (e.g. charts, Visual Basic) would be advantageous.
- Ability to understand and learn new programming scripts/languages.
- Working knowledge of SPSS, UNICOM® Intelligence Reporter and Confirmit would be a distinct advantage.
- Understanding of market research an advantage but not a necessity.
- Excellent level of numeracy, analytical, logical and interpretive skill.
- A strong attention to detail is essential.
- Good communication skills – ability to communicate technical information to a non-technical audience.
- High level of interpersonal skills and working as a team player.
- Able to respond to changing requirements and project needs.
- Good organisational and time management skills.
- Work well under pressure to meet tight deadlines.
- Self-motivated, proactive approach to work.
We encourage any current employee who is interested in this role and who would like further information to get in touch with Christian Wete (christian.wete@omc.com).
Data Processor employer: Omnicom Health
At Adelphi Real World, we pride ourselves on being an exceptional employer that values accuracy, development, and teamwork. Our vibrant work culture fosters collaboration and innovation, providing employees with ample opportunities for growth in the dynamic field of healthcare consultancy. Located in a supportive environment, we offer competitive benefits and the chance to contribute meaningfully to impactful projects that shape the future of healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Data Processor
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and role. Understand their values and how your skills align with what they need. This will help you stand out and show that you're genuinely interested in the position.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or family to get comfortable with common questions. The more you practice, the more confident you'll feel when it’s your turn in the hot seat.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can leave a lasting impression and shows your enthusiasm for the role. Plus, it keeps you on their radar as they make their decision.
We think you need these skills to ace Data Processor
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Processor role. Highlight your experience with data processing, Excel, and any relevant tools like SPSS or Confirmit. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data processing and how your background in Mathematics or Computer Science makes you a great fit. Let us know what excites you about working with real world data.
Show Off Your Attention to Detail:Since this role demands high levels of accuracy, make sure to showcase your attention to detail in your application. Whether it's through examples of past work or specific achievements, we want to see that you can handle the pressure and deliver quality results.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Omnicom Health
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like SPSS and Excel. Be ready to discuss how you've used these tools in past experiences, as this will show your practical knowledge and readiness for the role.
✨Showcase Your Attention to Detail
Since accuracy is key in this role, prepare examples that highlight your attention to detail. Think of situations where you caught errors or improved processes through careful monitoring—this will demonstrate your fit for the position.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You might be asked to describe how you would communicate data findings to a non-technical audience, so being able to break down complex information is crucial.
✨Be Ready for Problem-Solving
Expect questions that assess your problem-solving skills. Prepare scenarios where you had to resolve issues under pressure, especially related to data processing or project management, to showcase your proactive approach.
