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- Tasks: Import, clean, and analyse data using SAS for impactful insights.
- Company: Join a leading life sciences company dedicated to data-driven solutions.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of a collaborative team making a real difference in data analysis.
- Qualifications: Bachelor's or master's in statistics, mathematics, or computer science required.
- Other info: Email your CV to cv@life-science.co.uk to apply!
The predicted salary is between 36000 - 60000 £ per year.
Responsible for importing, cleaning, transforming, and validating data to ensure its accuracy and integrity for analysis. Using SAS procedures and functions to perform various statistical analyses such as descriptive statistics, hypothesis testing, regression analysis, and predictive modeling. Create reports, tables, and graphs to present analysis results in a clear and understandable format for stakeholders. Write and debug SAS code to automate data processing tasks, perform complex analyses, and generate reports efficiently. Collaborate with other team members such as statisticians, data scientists, and business analysts to understand project requirements and deliver actionable insights.
Key Requirements
- Strong understanding of SAS programming language and its various procedures (e.g., PROC SQL, PROC REG, PROC MEANS) is essential.
- Familiarity with statistical concepts and techniques is necessary for conducting meaningful analyses and interpreting results accurately.
- Experience with data manipulation, cleansing, and validation techniques for working with diverse datasets.
- Attention to detail is crucial to avoid errors in analysis and reporting.
- Strong problem-solving skills to address data-related challenges and optimize analysis processes.
- A bachelor’s or master’s degree in a quantitative field such as statistics, mathematics, computer science, or a related discipline.
SAS Programmer – United Kingdom employer: Resourcing Life Science
Contact Detail:
Resourcing Life Science Recruiting Team
cv@life-science.co.uk
StudySmarter Expert Advice 🤫
We think this is how you could land SAS Programmer – United Kingdom
✨Tip Number 1
Familiarise yourself with the specific SAS procedures mentioned in the job description, such as PROC SQL and PROC REG. Being able to discuss these in detail during an interview will show your expertise and readiness for the role.
✨Tip Number 2
Brush up on your statistical knowledge, especially concepts related to hypothesis testing and regression analysis. This will not only help you in interviews but also demonstrate your ability to apply these techniques in real-world scenarios.
✨Tip Number 3
Network with professionals in the field of data science and statistics. Attend relevant meetups or webinars where you can connect with potential colleagues or mentors who might provide insights into the company culture and expectations.
✨Tip Number 4
Prepare to discuss your problem-solving skills by thinking of specific examples where you've tackled data-related challenges. This will help you convey your analytical mindset and how you can contribute to the team at StudySmarter.
We think you need these skills to ace SAS Programmer – United Kingdom
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SAS programming and statistical analysis. Include specific examples of projects where you've used PROC SQL, PROC REG, or other relevant procedures.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about data analysis and how your skills align with the job requirements. Mention your problem-solving abilities and attention to detail, as these are crucial for the role.
Showcase Relevant Experience: When detailing your work experience, focus on roles where you imported, cleaned, and validated data. Highlight any collaborative projects with statisticians or data scientists to demonstrate your teamwork skills.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no typos or errors, as attention to detail is key in this field. A polished application reflects your professionalism.
How to prepare for a job interview at Resourcing Life Science
✨Showcase Your SAS Skills
Make sure to highlight your proficiency in SAS programming during the interview. Be prepared to discuss specific procedures you've used, such as PROC SQL or PROC REG, and provide examples of how you've applied them in past projects.
✨Demonstrate Statistical Knowledge
Since a strong understanding of statistical concepts is crucial for this role, brush up on key techniques like hypothesis testing and regression analysis. Be ready to explain how you’ve used these methods in your analyses and the insights they provided.
✨Prepare for Data Challenges
Expect questions about data manipulation and validation. Think of scenarios where you faced data-related challenges and how you resolved them. This will showcase your problem-solving skills and attention to detail, which are essential for the role.
✨Collaborative Mindset
As collaboration with team members is part of the job, be prepared to discuss how you’ve worked with statisticians, data scientists, or business analysts in the past. Highlight your communication skills and how you ensure project requirements are met effectively.
