Data Scientist / System Developer Data Processing and Analysis
Workplace: Uppsala, Sverige
Expires: August 29, 2025
Uppsala Clinical Research Center (UCR) seeks to strengthen its development team with competencies in data processing and analysis. The role involves providing statistical support and advice in managing and developing quality registers, contributing to important healthcare improvements through advanced data analysis and processing. The position offers an inspiring and meaningful job environment with an agile, team-based approach and opportunities to work across the entire product lifecycle.
Main requirements:
- University degree focused on system development, statistics or engineering.
- Several years of experience in data processing and analytical solutions.
- Proficiency and experience with SAS (for one profile) or openness to exploring various technologies to complement SAS-based products.
- Strong communication skills and team player with professional and humble approach.
- Flexibility to work partly remote and collaboratively within a development team.
Responsibilities:
- Provide statistical support and advice in management and development of quality registers.
- Develop and maintain reports and data output solutions, including automation to improve delivery efficiency.
- Collaborate with system developers and project teams to enhance analytical offerings and processes.
- Engage in development of tools, techniques, and process improvements within the team.
- Contribute to daily operations involving data extraction for researchers and other stakeholders.
Required hard skills:
- SAS programming and analytics (for Data Scientist / Developer with SAS profile).
- Data processing and analysis skills.
- Application development experience using Java and Spring (desirable).
- Version control tools such as Git.
- Issue tracking tools like Jira.
Recommended hard skills:
- Experience with MariaDB or relational databases.
- Familiarity with automated data delivery and report generation.
- Openness to exploring various data technologies beyond SAS products.
Soft skills:
- Good communication skills.
- Team player mentality.
- High professional integrity.
- Openness to sharing knowledge and listening to colleagues and customers.
- Professional and humble approach to challenges and interactions.
Coding languages:
- SAS
- Java
Frameworks:
- Spring
Natural languages:
- Swedish (Proficient)
- English (Advanced)
Cultural skills:
- Collaboration within a diverse and inclusive team environment.
- Respect and openness to different perspectives.
- Commitment to continuous improvement and learning.
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