At a Glance
- Tasks: Design and implement healthcare data solutions using cutting-edge frameworks.
- Company: Join IQVIA, a leader in healthcare analytics and technology.
- Benefits: Access to advanced tech, diverse opportunities, and career growth.
- Other info: Embrace diversity in a collaborative environment that empowers your potential.
- Why this job: Make a real impact on healthcare outcomes with innovative data solutions.
- Qualifications: Experience with OMOP, SQL, R, Python, and healthcare data management.
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.
- Understanding of US health payer dynamics would be advantageous.
- Solid understanding of clinical terminology such as SNOMED, ICD9/10, CPT, HCPCS, and READ.
- Solid understanding of healthcare data, particularly electronic health records (EHR) and insurance claims, and experience working with 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.
Benefits
You will have access to the most cutting‑edge technology, the largest data sets, and the best analytics tools, as well as the opportunity to work with some of the finest minds in the Healthcare industry. You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and therapeutic areas, you can seek opportunities to grow without boundaries. You will play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. It is an exciting time to join and reimagine what is possible in healthcare.
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 and enhance our success. We build an inclusive and respectful culture that nurtures belonging and empowers employees to reach their full potential.
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud.
Senior Data Scientist - OMOP in Brighton employer: IQVIA LLC
IQVIA is an exceptional employer located in Brighton, UK, offering a dynamic work environment that fosters innovation and collaboration within the healthcare sector. Employees benefit from access to cutting-edge technology and extensive data sets, alongside opportunities for professional growth across diverse geographies and therapeutic areas. With a strong commitment to diversity and inclusion, IQVIA cultivates a culture that empowers individuals to thrive and contribute meaningfully to advancing healthcare outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - OMOP in Brighton
✨Tip Number 1
Network like a pro! Reach out to current employees at IQVIA or in the healthcare data field. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your OHDSI and OMOP knowledge. We want to show that we’re not just familiar with the tools, but that we can also apply them effectively in real-world scenarios.
✨Tip Number 3
Practice our problem-solving skills! Think of examples where we’ve tackled complex data issues or collaborated with teams. This will help us shine during those tricky interview questions.
✨Tip Number 4
Don’t forget to showcase our communication skills! Being able to explain technical concepts to non-technical folks is key. Let’s prepare some stories that highlight our ability to bridge that gap.
We think you need these skills to ace Senior Data Scientist - OMOP in 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 OHDSI tools and the OMOP CDM, as well as any relevant programming skills in SQL, R, or Python. We want to see how your background aligns with 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 healthcare data solutions and how your skills can contribute to our DATS team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Problem-Solving Skills:In your application, don’t forget to mention specific examples of how you've tackled challenges in data management or analysis. We value strong problem-solving skills, so share those experiences that demonstrate your ability to collaborate and resolve issues effectively.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at IQVIA LLC
✨Know Your Tools Inside Out
Make sure you’re well-versed in OHDSI tools like ATLAS and Prometheus, as well as programming languages such as SQL, R, and Python. Brush up on how these tools can be applied to real-world data scenarios, as this will show your practical understanding during the interview.
✨Understand the OMOP CDM
Familiarise yourself with the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM). Be prepared to discuss how you've used it in past projects and how it relates to healthcare data solutions. This knowledge will demonstrate your expertise and relevance to the role.
✨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 articulate your thoughts clearly is crucial. Consider doing mock interviews with friends or colleagues to refine this skill.
✨Stay Updated on Industry Trends
Keep yourself informed about the latest developments in observational health data research and the OHDSI community. Mentioning recent trends or updates during your interview can showcase your enthusiasm for the field and your commitment to continuous learning.
