QMed / Data Engineer | Company Ventures

This is a role with a startup in the Blackstone LaunchPad internship program, through this company’s relationship with LaunchPad partner, Company Ventures. Please note all hiring decisions are made by each applicable company. Students are encouraged to conduct their own research and diligence on each employer and on any internship opportunity offered by any employer. Learn more about Company Ventures here

Please note that through Blackstone LaunchPad’s partnership with Company Ventures, this role is ONLY open for students currently enrolled at City University of New York (CUNY) schools. Only CUNY students will be invited to interview and participate.

About the program:

Blackstone LaunchPad is committed to equipping primarily first generation and low-income college students with career skills and exposure for career success. Learn more here. The Blackstone LaunchPad Summer Internship Program connects students to meaningful opportunities at Blackstone and LaunchPad employer partners: Blackstone portfolio companies and select startups. Please note all hiring and employment-related decisions, including compensation and the terms and conditions of employment, are made by each applicable company. Students are encouraged to conduct their own research and diligence on each employer and on any internship opportunity offered by any employer.

All hired interns receive mentorship and access to professional development opportunities to successfully launch their careers. Begin your journey with LaunchPad now by engaging in our Skills for Success series.
 

About QMed:
QMed is an innovative company at the intersection of Quantitative Medicine and AI, developing next-generation solutions in precision medicine and life sciences. We leverage AI, cloud computing, and data-driven approaches to revolutionize medical decision-making and patient care.

Role Overview:
We are seeking a highly motivated Data Engineering Intern to help establish the cloud computing infrastructure for our company. This role is ideal for students or recent graduates passionate about data engineering, cloud computing, and AI-driven applications in healthcare and life sciences. You will work closely with our engineering and AI teams to develop, optimize, and deploy cloud-based data pipelines and AI applications.

Key Responsibilities:
• Cloud Infrastructure Setup: Assist in designing and setting up cloud computing infrastructure (AWS, GCP, or Azure) to support QMed’s AI-driven applications.
• Data Pipeline Development: Build and optimize data ingestion, transformation, and storage pipelines using cloud-based tools.
• AI Integration: Support the deployment of AI models by integrating machine learning workflows with cloud computing environments.
• Database Management: Work with structured and unstructured data, managing cloud databases such as BigQuery, PostgreSQL, or DynamoDB.
• Automation & Optimization: Develop scripts and workflows to automate ETL processes, monitor performance, and improve efficiency.
• Security & Compliance: Assist in implementing security best practices and ensuring compliance with healthcare data regulations (HIPAA, GDPR, etc.).

Required Qualifications:
• Currently pursuing or recently completed a Bachelor’s/Master’s degree in Computer Science, Data Engineering, AI, Bioinformatics, or a related field.
• Experience with Python and knowledge of other relevant programming languages (SQL, Bash, etc.).
• Familiarity with cloud computing platforms (AWS, GCP, Azure) and cloud-based data storage solutions.
• Understanding of data engineering concepts, including ETL pipelines, data lakes, and streaming data processing.
• Experience with AI/ML model deployment in cloud environments is a plus.
• Strong problem-solving skills and ability to work independently.
• Interest in healthcare, life sciences, and AI-driven solutions.

Preferred Skills (Nice to Have):
• Experience with Docker, Kubernetes, or serverless computing.
• Familiarity with APIs, microservices, and CI/CD pipelines.
• Knowledge of big data frameworks (Spark, Hadoop) and workflow orchestration tools (Airflow).
• Understanding of AI/ML model optimization for cloud deployment.

What You’ll Gain:
• Hands-on experience in cloud-based data engineering and AI infrastructure.
• Exposure to cutting-edge AI applications in precision medicine.
• Mentorship from experienced AI, cloud computing, and life sciences professionals.
• The opportunity to contribute to a meaningful project impacting healthcare and oncology research.

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This is a role with a startup in the Blackstone LaunchPad internship program, through this company’s relationship with LaunchPad partner Company Ventures. Please note all hiring decisions are made by each applicable company. Students are encouraged to conduct their own research and diligence on each employer and on any internship opportunity offered by any employer.