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: Be part of impactful projects that shape healthcare outcomes and treatments.
- 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 (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.
Data Processor in Macclesfield employer: Omnicom Health
Adelphi Real World is an exceptional employer, offering a dynamic work environment where data processing professionals can thrive. With a strong emphasis on employee development and a culture that values accuracy and teamwork, employees are encouraged to grow their skills in a supportive setting. Located in a vibrant area, the company provides unique opportunities to engage with cutting-edge healthcare consultancy projects, making it a rewarding place for those seeking meaningful contributions to the pharmaceutical industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Processor in Macclesfield
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Omnicom Health when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Omnicom Health.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Omnicom Health.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Omnicom Health’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Data Processor in Macclesfield
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Omnicom Health, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Omnicom Health aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Omnicom Health
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
