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- Tasks: Collaborate with researchers to analyse data and develop solutions in drug development.
- Company: Syneos Health, a leader in biostatistics and data science.
- Benefits: Inclusive culture, professional growth opportunities, and competitive salary.
- Other info: Dynamic work environment that values inclusivity and career advancement.
- Why this job: Make a real impact in healthcare by leveraging your analytical skills.
- Qualifications: Master's in Statistics, SQL and R proficiency, and experience with OMOP CDM.
The predicted salary is between 60000 - 80000 £ per year.
Syneos Health is hiring a Sr Biostatistician/Sr Data Scientist in the United Kingdom to collaborate with researchers across drug development. This role demands a Master's degree in Statistics and strong proficiency in SQL and R. Candidates must have experience with OMOP CDM and OHDSI tools like ATLAS and ACHILLES. You will utilize your analytical skills to translate requirements into executable solutions while working in a dynamic environment that fosters professional growth and inclusivity.
Senior Biostatistician & Data Scientist (OMOP/OHDSI) employer: Syneos Health
Contact Detail:
Syneos Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Biostatistician & Data Scientist (OMOP/OHDSI)
✨Tip Number 1
Network like a pro! Reach out to professionals in the biostatistics and data science fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your SQL and R skills. We recommend doing some mock interviews with friends or using online platforms to practice common questions related to OMOP CDM and OHDSI tools.
✨Tip Number 3
Showcase your analytical skills! Create a portfolio of projects that demonstrate how you've translated complex requirements into actionable solutions. This will give you an edge when discussing your experience during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Biostatistician & Data Scientist (OMOP/OHDSI)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Master's degree in Statistics and your experience with SQL and R. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in OMOP CDM and OHDSI tools like ATLAS and ACHILLES.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about biostatistics and data science. We love seeing candidates who can translate complex requirements into clear solutions, so share examples of how you've done this in the past.
Showcase Your Analytical Skills: In your application, highlight specific projects where you’ve used your analytical skills to solve problems. We’re looking for candidates who can thrive in a dynamic environment, so any examples of adaptability and growth will definitely catch our eye!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at Syneos Health
✨Know Your Stats
Brush up on your statistical knowledge, especially around the concepts relevant to biostatistics. Be ready to discuss how you've applied statistical methods in past projects, particularly using SQL and R.
✨Familiarise with OMOP and OHDSI
Make sure you understand the OMOP Common Data Model and have hands-on experience with OHDSI tools like ATLAS and ACHILLES. Prepare to explain how you've used these tools in your previous roles and how they can benefit the team at Syneos Health.
✨Showcase Your Analytical Skills
Be prepared to demonstrate your analytical thinking. Think of examples where you've translated complex requirements into actionable solutions. Use specific scenarios to illustrate your problem-solving process.
✨Emphasise Collaboration
Since this role involves working with researchers, highlight your teamwork skills. Share experiences where you've successfully collaborated in a dynamic environment, showcasing your ability to adapt and contribute to a diverse team.