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- Aufgaben: Analyze real-world data to generate insights for healthcare decision-making.
- Arbeitgeber: Join Luminary Group, a leader in life sciences, driving innovation in healthcare.
- Mitarbeitervorteile: Enjoy a collaborative work environment with opportunities for professional growth and development.
- Warum dieser Job: Make a real impact in healthcare by leveraging data science to improve patient outcomes.
- Gewünschte Qualifikationen: Bachelor's degree in data science or related field; 3+ years of experience required.
- Andere Informationen: Familiarity with healthcare data standards is a plus.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
Social network you want to login/join with: Client: Luminary Group Location: Job Category: Other Job Reference: 73622a0a95a8 Job Views: 4 Posted: 03.03.2025 Expiry Date: 17.04.2025 Job Description: Luminary Group is partnering with a leading life science company in their search for a talented and experienced Data Scientist with expertise in Real-World Evidence (RWE). As a Data Scientist, you will play a crucial role in analyzing and interpreting real-world data to generate valuable insights and support evidence-based decision making in the healthcare industry. Responsibilities: Identify and define analytical problems related to real-world evidence (RWE) and develop appropriate data-driven solutions. Design and implement data mining and statistical modeling techniques to analyze complex RWE datasets. Preprocess and clean large-scale real-world data to ensure quality and integrity. Apply machine learning algorithms and techniques to extract meaningful patterns and insights. Develop predictive models to forecast outcomes and trends based on real-world data. Collaborate with cross-functional teams to interpret and communicate analysis findings to stakeholders. Stay up-to-date with the latest research and advancements in data science and real-world evidence. Implement data visualization techniques to effectively communicate analysis results. Participate in the development of data-driven products and solutions for the healthcare industry. Requirements: Bachelor\’s degree in data science, computer science, statistics, or a related field; advanced degree preferred. Minimum of 3 years of experience as a Data Scientist, preferably with a focus on real-world evidence (RWE) and the healthcare industry. Strong knowledge of data mining, statistical modeling, and machine learning algorithms. Proficiency in programming languages such as Python or R for data manipulation and analysis. Experience with data visualization tools, such as Tableau or Power BI. Solid understanding of database systems and SQL for data querying and manipulation. Strong analytical and problem-solving skills, with the ability to find insights in complex datasets. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Experience with healthcare data and familiarization with healthcare data standards is a plus. Understanding of regulatory requirements and ethics related to data analysis in healthcare. #J-18808-Ljbffr
Data Scientist - Real World Evidence - Europe, Zürich District Arbeitgeber: Whatjobs
Kontaktperson:
Whatjobs HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Scientist - Real World Evidence - Europe, Zürich District
✨Tip Number 1
Make sure to showcase your experience with real-world evidence (RWE) in your conversations. Highlight specific projects where you've successfully analyzed RWE datasets and the impact of your findings on decision-making in healthcare.
✨Tip Number 2
Familiarize yourself with the latest trends and advancements in data science and RWE. Being able to discuss recent research or innovations during your interview can demonstrate your passion and commitment to the field.
✨Tip Number 3
Prepare to discuss your proficiency in programming languages like Python or R, as well as your experience with data visualization tools such as Tableau or Power BI. Be ready to provide examples of how you've used these skills in past roles.
✨Tip Number 4
Emphasize your collaboration skills by sharing experiences where you worked with cross-functional teams. Highlight how you effectively communicated complex analysis findings to stakeholders, showcasing your ability to bridge technical and non-technical discussions.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Scientist - Real World Evidence - Europe, Zürich District
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Scientist position at Luminary Group. Familiarize yourself with real-world evidence (RWE) concepts and how they apply to the healthcare industry.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, particularly focusing on RWE and healthcare. Emphasize your skills in data mining, statistical modeling, and machine learning, as well as any experience with programming languages like Python or R.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and the healthcare sector. Discuss specific projects or experiences that demonstrate your ability to analyze complex datasets and generate actionable insights.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, be sure to mention your collaboration and communication skills. Provide examples of how you've successfully worked in teams to achieve common goals in previous roles.
Wie du dich auf ein Vorstellungsgespräch bei Whatjobs vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data mining, statistical modeling, and machine learning algorithms. Highlight specific projects where you applied these skills, especially in the context of real-world evidence.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical thinking. Prepare examples of how you've identified and solved complex analytical problems in previous roles, particularly those related to healthcare data.
✨Communicate Clearly
Since collaboration is key, practice explaining your analysis findings in a clear and concise manner. Use data visualization techniques to illustrate your points effectively, as this will be crucial in conveying insights to stakeholders.
✨Stay Updated on Industry Trends
Research the latest advancements in data science and real-world evidence. Being knowledgeable about current trends will not only impress your interviewers but also demonstrate your commitment to continuous learning in the healthcare industry.
