At a Glance
- Tasks: Support data processing and logistics for healthcare projects, ensuring accuracy and efficiency.
- Company: Adelphi Real World, a global consultancy in healthcare data.
- Benefits: Gain valuable experience in a fast-paced environment with opportunities for growth.
- Other info: Collaborative team atmosphere with a focus on personal development.
- Why this job: Be part of impactful healthcare projects and develop your skills in data processing.
- Qualifications: Background in Mathematics or Computer Science; Excel skills required.
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 (knowledge of additional languages not required).
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.
Locations
Data Processor in Bollington, Cheshire employer: Omnicom Health
Adelphi Real World is an exceptional employer that fosters a collaborative and innovative work culture, where employees are encouraged to grow and develop their skills in the dynamic field of healthcare consultancy. With a strong emphasis on accuracy and teamwork, the Data Processor role offers meaningful challenges and opportunities for professional advancement, all while being part of a global organisation dedicated to improving health outcomes through real world data. Located in a vibrant area, employees benefit from a supportive environment that values their contributions and promotes a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Processor in Bollington, Cheshire
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We think you need these skills to ace Data Processor in Bollington, Cheshire
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Omnicom Health, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Omnicom Health. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Omnicom Health
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
