At a Glance
- Tasks: Join our team to develop and validate clinical databases for impactful trials.
- Company: Global leader in data management with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a strong emphasis on collaboration and career advancement.
- Why this job: Be part of groundbreaking projects that shape the future of clinical research.
- Qualifications: Experience in SAS programming and a passion for data accuracy.
The predicted salary is between 50000 - 70000 £ per year.
We are currently looking for a knowledgeable and proactive SAS Developer to join our global Data Management team. Please note the official PSI CRO job title will be: Senior Database Developer. If you are keen to provide the full range of clinical database development and programming services, ensure high quality, accuracy, and consistency of clinical data, and be involved in something new, outstanding and challenging, this job opportunity is perfect for you!
Responsibilities
- Communication point for data management and statistics on matters of database programming and deliverable database development
- Clinical database (EDC) requirements/structure review and testing
- Data validation plan review and programming of data validation procedures
- Generation of clinical database listings and reports to support clinical trial data collection, tracking, review and validation
- Programming of patient profiles
- Participate and support the development of Study Data Tabulation Model (SDTM) (define.xml, annotated CRF, reviewer’s guide) and programming of data transformation from raw data sources into CDISC-compliant deliverable
- Validation of clinical trial data according to SDTM specifications
- Deliverable database transfer to clients; electronic data transfers
- Liaison with vendors and clients regarding electronic data transfer specifications
- Receipt and validation of electronic data transfers
Senior SAS Developer (SDTM) employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior SAS Developer (SDTM)
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We think you need these skills to ace Senior SAS Developer (SDTM)
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 Doist, 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 Doist. 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 Doist
✨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 Doist!
✨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.
