About the role: We are seeking a highly skilled and motivated Healthcare Data Scientist Analyst to join our Global Transformation Company. As a Data Scientist Analyst, you will be responsible for analyzing complex healthcare data sets and providing valuable insights to drive data-informed decisions. You will collaborate with cross-functional teams to identify trends, patterns, and opportunities, ultimately contributing to the improvement of healthcare outcomes and patient care. If you are passionate about leveraging data to make a positive impact in the healthcare industry, we would love to hear from you.
Responsibilities:
- Collect, clean, and validate large and complex healthcare data sets.
- Analyze and interpret data using statistical techniques and visualizations.
- Develop predictive models and algorithms to identify patterns and trends in healthcare data.
- Collaborate with cross-functional teams to identify areas for improvement and develop data-driven solutions.
- Build and maintain data pipelines and databases for efficient data analysis and reporting.
- Communicate complex findings and insights to both technical and non-technical stakeholders.
- Stay up-to-date with industry trends and advancements in data science methodologies.
Qualifications & Experience:
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
- Proven experience as a Data Scientist or Data Analyst in the healthcare industry.
- Proficiency in programming languages such as Python and R.
- Strong knowledge of data analysis and statistical methods.
- Experience with data visualization tools such as Tableau or Power BI.
- Familiarity with machine learning algorithms and techniques.
- Excellent problem-solving and critical thinking skills.
- Strong communication and interpersonal skills to effectively collaborate with cross-functional teams.
Skills:
- Outstanding interpersonal and communication skills.
- Expertise in Change Management and Clinical Adoption strategy implementation.
- Strong planning, organization, and time management skills.
- Proficiency in Clinical Information Systems design, build, and implementation.
- Deep understanding of clinical data validation, reporting, and analysis.
- Demonstrable success in stakeholder interactions, delivering aligned solutions.
- Familiarity with clinical environments and terminology.
- Strong values of integrity, commitment, and self-improvement.
- A methodical, thorough yet flexible approach.
- Process-driven mindset.
