At a Glance
- Tasks: Develop programs and provide statistical support for real-world data analytics.
- Company: Syneos Health, a leader in drug development and clinical solutions.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with strong emphasis on communication and teamwork.
- Why this job: Join a dynamic team and make a real impact in healthcare through data science.
- Qualifications: Advanced knowledge in SAS or R and experience in clinical trials.
The predicted salary is between 60000 - 80000 £ per year.
Syneos Health, Inc. is looking for a Sr Programmer-Sr Data Scientist in London to develop programs and provide statistical programming support, including managing data from real-world sources. This position requires advanced knowledge in SAS or R and extensive programming experience, preferably within a clinical trial setting.
Collaboration with the Clinical Solutions team is essential for the support of drug development and real-world data analytics. The ideal candidate will possess a degree in a relevant scientific or statistical discipline and will have strong communication skills.
Senior Data Scientist & Programmer (SAS/R) Real-World Data employer: Syneos Health, Inc.
Syneos Health, Inc. is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, we offer extensive training and development opportunities, ensuring our team members thrive in their careers while contributing to impactful drug development projects. Join us to be part of a dynamic environment where your expertise in SAS or R will be valued and where you can make a meaningful difference in real-world data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist & Programmer (SAS/R) Real-World Data
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Syneos Health, Inc.!
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We think you need these skills to ace Senior Data Scientist & Programmer (SAS/R) Real-World Data
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 Syneos Health, Inc., 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 Syneos Health, Inc.. 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 Syneos Health, Inc.
✨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 Syneos Health, Inc.!
✨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.
