At a Glance
- Tasks: Develop and support clinical database programming for trials, ensuring data integrity and compliance.
- Company: Celerion, a performance-driven drug research company with a global impact.
- Benefits: Flexible work-from-home options, competitive salary, and strong career development opportunities.
- Other info: Dynamic work environment with opportunities for growth in the clinical research field.
- Why this job: Join a purpose-driven team making a real difference in health and well-being worldwide.
- Qualifications: Experience in SAS programming and a passion for data management.
The predicted salary is between 63000 - 77000 £ per year.
Join a team that's going places!
Every member of Celerion is involved in making a distinctive contribution to the health and well-being of people around the world.
That's the sense of purpose shared by our employees.
We are a performance-driven drug research company, operating in robust and growing markets.
We have an exciting future and offer a strong development environment for our great employees.
Come be part of our Data Management and Biometrics team as a Data Programmer.
This full-time position will be attached to our Belfast, Northern Ireland clinical trial facility with a work-from-home/hybrid working arrangement available within the UK.
The purpose of the Data Programmer role is to develop and support clinical database programming activities and associated documentation involved in clinical trial set-up, conduct and close-out stages in line with protocol requirements, standard operating procedures (SOPs/PGs), Good Clinical Programming Practices (GXP), Clinical Data Interchange Standards (CDISC) and other applicable sponsor or regulatory requirements.
Essential
Functions: SAS Pre-lock programming - Deliver and support all pre-database lock SAS programming processes associated with data collection, reporting and cleaning Data import and integration - Support data import programming and reconciliation activities as needed Data
Data Programmer in Belfast employer: Workcircle
At Rolls-Royce, we pride ourselves on being a leading employer in the aerospace industry, offering a dynamic work culture that values individuality and innovation. Our Derby location provides a unique opportunity to work on cutting-edge projects like Test Bed 80, with ample training and growth opportunities for both experienced and early career engineers. With a comprehensive benefits package and a commitment to inclusivity, joining Rolls-Royce means becoming part of a forward-thinking team dedicated to shaping the future of aerospace technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Programmer in Belfast
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Workcircle.
✨Apply Directly through Our Website
When you find a suitable opening like Data Programmer at Workcircle, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Programmer in Belfast
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Workcircle, 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 Workcircle. 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 Workcircle
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Workcircle!
✨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.