At a Glance
- Tasks: Design and implement healthcare data solutions using innovative frameworks.
- Company: Join IQVIA, a global leader in patient care and advanced analytics.
- Benefits: Diverse and inclusive workplace with opportunities for growth and development.
- Other info: Collaborative environment with a focus on problem-solving and innovation.
- Why this job: Make a real impact in healthcare by leveraging cutting-edge technology and data.
- Qualifications: Experience with OMOP CDM, programming in SQL, R, and Python.
The predicted salary is between 60000 - 80000 £ per year.
IQVIA is hiring to expand our dedicated Real-World Evidence (RWE) FSP team, working fully embedded within the environment of a leading pharmaceutical client. This Data Scientist role sits within our Data Science, Analytics, and Technology Solutions (DATS) team and will play a key role in designing, implementing, and maintaining healthcare data solutions using the OHDSI and DARWIN frameworks.
Essential Functions
- Collaborate with researchers and data scientists to understand project requirements and translate them into OHDSI/DARWIN-compatible solutions.
- Work with databases, ensuring data integrity and optimization for OHDSI-related queries and analyses.
- Perform data analyses in OHDSI-related tools like ATLAS and Prometheus or using R-Packages.
- Customize and extend OHDSI tools and applications to meet specific project needs.
- Collaborate with cross-functional teams to troubleshoot and resolve technical issues related to OHDSI implementations.
- Stay informed about OHDSI community updates, best practices, and emerging trends in observational health data research.
- Support the growth and maintenance of the OHDSI community on the client side.
Requirements
- Proven experience with the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) and OHDSI related tools, such as ATLAS, ATHENA, and ACHILLES.
- Proven experience in programming languages commonly used in the OHDSI community, such as SQL, R, and Python.
- Proven experience in data management, governance, engineering, and strategy.
- Good understanding of observational study design and epidemiological concepts with an emphasis on RWE data.
- Familiarity with Machine Learning and Statistical concepts.
- A good understanding of US health payer dynamics would be advantageous.
- Solid understanding of clinical terminology such as SNOMED, ICD9/10, CPT, HCPCS, READ and healthcare data standards.
- Strong problem-solving skills and the ability to work collaboratively in a team environment.
- Excellent communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.
- Experience developing and maintaining documentation for RWE studies and insight generation.
- Experience with data quality assessment and data validation techniques for fit for purpose.
Why Join?
Those who join IQVIA become part of a recognized global leader committed to improving patient care by leveraging cutting-edge technology, large data sets, and advanced analytics tools. IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success.
Senior Data Scientist - OMOP Brighton employer: IQVIA
At IQVIA, we pride ourselves on being a leading employer in the healthcare analytics sector, offering our Senior Data Scientists the opportunity to work at the forefront of real-world evidence research in the vibrant city of Brighton. Our collaborative work culture fosters innovation and professional growth, supported by a commitment to diversity and inclusion, ensuring that every team member can thrive while contributing to meaningful advancements in patient care.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - OMOP Brighton
✨Tip Number 1
Network like a pro! Reach out to current employees at IQVIA or in the data science field. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your work with OHDSI tools, R, SQL, and Python. We want to see how you tackle real-world problems, so make it relevant to the role.
✨Tip Number 3
Ace the interview by practising common data science questions and scenarios. We recommend simulating interviews with friends or using online platforms to get comfortable with technical discussions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Senior Data Scientist - OMOP Brighton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with OMOP, OHDSI tools, and any relevant programming languages like SQL, R, and Python. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science in healthcare and how your background aligns with our needs. Let us know why you want to join our team at IQVIA!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's using ATLAS or customising OHDSI tools, we love to see real-world examples of your work. It helps us understand your hands-on experience.
Apply Through Our Website:Don't forget to apply through our website! It's the best way to ensure your application gets to us directly. Plus, it shows you're serious about joining our team. We can't wait to see what you bring to the table!
How to prepare for a job interview at IQVIA
✨Know Your Tools Inside Out
Make sure you’re well-versed in the OHDSI and DARWIN frameworks, as well as tools like ATLAS and Prometheus. Brush up on your SQL, R, and Python skills, and be ready to discuss how you've used these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled technical challenges in data management or analysis. Be specific about the issues you faced, the solutions you implemented, and the outcomes. This will demonstrate your ability to think critically and work collaboratively.
✨Understand the Bigger Picture
Familiarise yourself with observational study design and epidemiological concepts, especially in relation to real-world evidence. Being able to discuss how your work impacts patient care and contributes to the healthcare landscape will set you apart.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll likely need to convey your ideas to both technical and non-technical stakeholders, so being able to adapt your communication style is key. Consider role-playing with a friend to refine this skill.
