Senior/ Data Analyst (Data Engineering) (Contract)

Join Our Dynamic Data Science and Research Team

Are you passionate about transforming healthcare with cutting-edge AI and research methodologies? Our Data Science and Health Services Research (HSR) team is at the forefront of care transformation, working collaboratively with clinical leads to enhance patient outcomes and community well-being.

Why Join Us?

1. Purpose-Driven Work: Be part of impactful projects that integrate AI tools and advanced analytics to revolutionize care delivery.
2. Team Culture and Collaboration: Thrive in a team that values teamwork, mutual trust, and dynamic collaboration, supported by a strong focus on well-being.
3. Commitment to Learning: Benefit from continuous learning opportunities, mentorship, and capacity-building programs to advance your career.
4. Vision for the Future: Join a team that is committed to:

• Driving healthcare innovation through research and evidence-based practice.
• Expanding internal capabilities and expertise.
• Building and nurturing relationships across diverse disciplines.

Key Responsibilities:

• Design and develop integration pipelines for clinical data, chatbot data, and patient-reported outcomes.
• Develop and refine AWS chatbot functionality and maintenance.
• Ability to resolve technical issues independently or escalate to the next level for support.
• Collaborate with clinical leads to identify gaps and areas for improvement in AI tool developments.
• Lead AI project design, including system and study design, as well as AI project evaluations and ROI.
• Present findings, updates, and recommendations to senior management and committees.
• Write up coding and SOP independently and collaborate with team members to validate and improve the technical solution.

What We’re Looking For:

• Qualifications: PhD/master/degree in Computer Science, Engineering, or a related field.
• Experience: 2–3 years of relevant work experience in AI development or data engineering.
• Expertise in AWS or RAG (Retrieval-Augmented Generation) tools.
• Proficient in SQL and familiar with the use of SQL Server.
• Familiar with the use, design, and implementation of RESTful APIs.
• Familiar with Python libraries such as Django, Dash, Plotly and with building web-based data visualization applications.
• Familiar with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn, Plotly and other machine learning libraries.
• Familiar with the use of Docker, Kubernetes and with performing container deployments.
• Proficiency in system integration and clinical AI design.
• Strong project management and interpersonal skills.
• A self-driven attitude with a passion for solving complex challenges and advancing healthcare innovation.