At a Glance
- Tasks: Design and implement healthcare data solutions using cutting-edge frameworks.
- Company: Join IQVIA, a global leader in healthcare intelligence and clinical research.
- Benefits: Access to advanced technology, diverse opportunities, and a supportive work culture.
- Other info: Embrace diversity and grow your career in a dynamic environment.
- Why this job: Make a real impact on patient care and drive healthcare innovation.
- Qualifications: Experience with OMOP, SQL, R, Python, and strong problem-solving skills.
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.
- 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.
Why Join?
Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. You will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, 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 vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries.
Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. It's an exciting time to join and reimagine what's 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 in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.
Senior Data Scientist - OMOP in Brighton employer: IQVIA
IQVIA is an exceptional employer that champions innovation and collaboration within the healthcare sector. Located in Brighton, our work culture prioritises diversity and inclusion, fostering a sense of belonging while providing access to cutting-edge technology and vast data sets. Employees are encouraged to drive their career paths with ample growth opportunities, making a meaningful impact on patient care and health 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 you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with OHDSI tools and RWE data. This will help you stand out during interviews and demonstrate your hands-on expertise.
✨Tip Number 3
Stay updated on industry trends! Follow relevant blogs, forums, and communities related to OHDSI and healthcare data. Being knowledgeable about the latest developments can impress interviewers and show your passion for the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at IQVIA.
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 OMOP, OHDSI tools, and any relevant programming languages like SQL, R, and Python. We want to see how your skills align 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 background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's customising OHDSI tools or conducting data analyses, we want to know what you've done and how it relates to the role. Concrete examples can really make your application stand out.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us without any hiccups. Plus, you'll find all the details you need about the role and our company culture there!
How to prepare for a job interview at IQVIA
✨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 customised for specific project needs, as this will show your technical prowess during the interview.
✨Understand the Healthcare Landscape
Familiarise yourself with clinical terminology and healthcare data standards, especially around electronic health records and insurance claims. Being able to discuss these concepts confidently will demonstrate your understanding of the industry and its challenges.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled technical issues in past projects, particularly those related to data integrity and optimisation. This will highlight your ability to collaborate with cross-functional teams and resolve challenges effectively.
✨Stay Updated on RWE Trends
Keep abreast of the latest developments in observational health data research and the OHDSI community. Mentioning recent trends or best practices during your interview will show that you’re proactive and genuinely interested in contributing to the field.
