Job title: Senior Data Analyst
Location: Washington D.C. (Hybrid, 1 day a week in office)
Type: Full-Time
Position Summary:
We are looking for a driven and experienced Senior Data Analyst to join our expanding team in Washington, DC. In this role, you will play a pivotal part in helping medical researchers bring their computer vision projects to life, focused on advancing surgical procedures and outcomes. As a key team member, you will work on analyzing complex datasets, supporting research, and driving innovation.
This position is ideal for someone who thrives in a customer-facing role, capable of effectively communicating with researchers and stakeholders to understand their needs, while executing tasks with precision and professionalism. Your work will directly contribute to improving global surgical practices through advanced data science techniques.
Key Responsibilities:
- Analyze large datasets derived from surgical procedures, medical imaging, and computer vision models to identify trends and insights.
- Collaborate with data scientists to optimize machine learning algorithms focused on surgical computer vision applications.
- Perform statistical analysis and generate reports to support research initiatives and improve surgical outcomes.
- Clean, process, and transform raw data into usable formats for analysis and model training.
- Assist in the development of dashboards and data visualizations for internal teams and external stakeholders.
- Work with researchers to define data requirements and support the creation of high-quality datasets for computer vision applications.
- Ensure data integrity and accuracy across all stages of the data pipeline.
- Present findings and recommendations to both technical and non-technical audiences.
Qualifications:
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field
- 4+ years of experience in data analysis, preferably in healthcare or a research-focused environment.
- Past experience working with MongoDB [Nice to have]
- Proficiency in Python, SQL for data manipulation and analysis.
- Experience working with data visualization tools like Tableau.
- Basic knowledge of machine learning engineering principles, with a focus on understanding and supporting model development without deep implementation responsibilities.
- Strong problem-solving skills and attention to detail. Strong communication skills, with the ability to convey complex data insights to non-technical stakeholders.
About us: SDSC is a non-profit organization dedicated to digitally transforming surgery and revolutionizing the global surgical enterprise. Our mission is to serve as a trusted data hub for the surgical community, providing secure access to surgical data and enabling its intelligent use. SDSC offers services such as storing and viewing surgical data, AI and human reviews of surgical videos, sharing deidentified videos with colleagues, and facilitating machine learning applications and research. By leveraging data-driven insights, we aim to enhance surgical quality, training, and patient outcomes, while fostering collaboration and addressing disparities in surgical care worldwide.