Data Scientist Internship – Health Informatics (Remote, Pittsburgh, PA 15222)

📍 Location: Pittsburgh, Pennsylvania, 15222
🧑‍💻 Employee Type: Temporary Part-Time
🏠 Work Mode: Remote

🌟 About the Opportunity

Are you a data-driven problem solver with a passion for healthcare analytics? Our Data Scientist Internship – Health Informatics is a paid, part-time, remote internship where you’ll collaborate with a diverse team of analysts, medical professionals, business leaders, and IT specialists to unlock insights from healthcare data.

As an intern, you will gain hands-on experience working with large-scale clinical datasets, using cutting-edge machine learning techniques, and developing data-driven solutions for public health and medical applications. This flexible, 20-hour-per-week role is a unique opportunity to contribute to real-world projects in healthcare informatics while developing industry-leading technical skills.

🛠 Responsibilities

✔️ Collaborate with cross-functional teams to analyze complex healthcare datasets
✔️ Utilize data science techniques including machine learning, deep learning, regression modeling, and pattern recognition
✔️ Develop predictive models to detect trends and patterns in diagnostic test results
✔️ Design data engineering algorithms to process large clinical datasets efficiently
✔️ Contribute to healthcare product development, focusing on visualizations and statistics-based alerting systems
✔️ Utilize Python and SQL to process, clean, and analyze large datasets
✔️ Work on end-to-end projects, from data ingestion and transformation to advanced analytics and visualization
✔️ Apply data mining and clustering techniques to identify meaningful patterns in lab test results
✔️ Leverage cloud-based tools (AWS-Sagemaker, AWS-Quicksight) for scalable analytics solutions
✔️ Present findings and insights using Power BI, Tableau, or Qlik
✔️ Stay updated with the latest trends in data science, health informatics, and AI-driven healthcare solutions
✔️ Other duties as assigned

📌 Qualifications

🎓 Education: Currently pursuing a Master’s degree in Data Science, Biostatistics, Bioinformatics, Public Health, Computer Science, Economics, Statistics, or Mathematics
🐍 Programming: Proficiency in Python and SQL (strongly preferred)
🤖 AI & Analytics: Experience in data mining, pattern recognition, machine learning, and predictive analytics
📊 Data Visualization: Proficiency in Tableau, AWS-Quicksight, Qlik, Power BI, or SAS-VIYA
☁️ Cloud Tools: Familiarity with AWS-Sagemaker is a plus
💼 Experience: Prior data science or data engineering experience is preferred
📢 Communication: Ability to explain complex data insights to both technical and non-technical audiences
🏥 Healthcare Exposure: Experience working with clinical, healthcare, or lab data is an advantage
🌎 Location: Must be based in the United States and open to limited travel

🚀 Why Join Us?

🏠 Flexible Remote Work: Work 100% remotely from anywhere in the United States
📚 Real-World Experience: Gain exposure to healthcare data science with meaningful projects
💡 Innovative Work: Use cutting-edge technologies like AI, ML, and cloud computing to improve public health solutions
📈 Professional Development: Work alongside industry leaders, data scientists, and medical professionals
🛠 Hands-On Learning: Build technical skills in data engineering, analytics, and visualization
🔬 Impactful Projects: Help develop data-driven insights that directly benefit public health and clinical decision-making

✅ If you’re looking for an internship that blends healthcare, AI, and analytics, this is the perfect opportunity for you!

📄 Best CV Tips for This Data Scientist Internship Role

To increase your chances of landing this internship, optimize your CV with these best practices:

🖊 Highlight Your Technical Skills: List Python, SQL, machine learning, data analysis, and visualization tools (Tableau, Power BI).
🏥 Showcase Healthcare Experience: If you’ve worked with clinical data, EHRs, or lab datasets, make sure to mention it.
📊 Emphasize Your Projects: Include projects that demonstrate data engineering, AI, or predictive modeling.
📈 Use Quantifiable Achievements: Example: “Developed a predictive model that improved disease detection accuracy by 20%.”
📄 Keep It Concise: Limit your resume to 1–2 pages, ensuring the most relevant experience is visible.
🎯 Tailor Your Resume: Customize your CV based on this job description to match required skills.
🏅 Add Certifications: List certifications in data science, AI, cloud computing (AWS, Google Cloud), or healthcare informatics.
📢 Include Communication Skills: This role involves working with cross-functional teams—highlight any experience in collaborating and presenting insights.

📌 Apply Now!

📢 Ready to take the next step? Follow these instructions to apply today!

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