Hi Boston tech & research community,
I’m a local Data Analyst / AI/ML Engineer currently looking for a Paid Intern or Entry-Level Data/AI Role (Full-time or Part-time) in the Greater Boston area (or Remote).
My background is centered on building reliable AI/ML data pipelines, defensive processing workflows, and prototype-level analytics. I have hands-on experience handling complex, high-dimensional healthcare & biomedical datasets.
💡 Key Highlights & Technical Background:
Hands-on Healthcare/Genomic AI Experience: incoming Research Intern at Harvard Medical School / Boston Children’s Hospital, building Python processing workflows for complex biological datasets and prototype pipelines converting unstructured inputs to JSON for LLM workflows.
Core Tech Stack: Python, SQL, FastAPI, Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, Tableau, R, Linux, Git.
Data Engineering & AI Pipelines: Experienced with ETL pipelines, defensive programming (exception handling, type/schema validation), PCA dimensionality reduction, and NLP-driven data extraction.
Projects: Built full-stack AI/ML prototypes using FastAPI + SQL to ingest unstructured clinical text for localized LLM inference, paired with interactive Tableau dashboards.
🎯 What I’m Looking For:
Roles: AI/ML Intern, Data Engineering Intern, Data Analyst, or Junior ML Developer.
Type: Paid Internship, Co-op, or Junior/Entry-Level position.
Location: Greater Boston (On-site / Hybrid) or Remote.
I’m already based in the Boston area and ready to contribute immediately to local biotech startups, tech teams, or research labs.
📩 If your team is looking for a self-driven data/AI engineer, please feel free to DM me here or reach out via email/LinkedIn below:
LinkedIn: https://www.linkedin.com/in/lang-qian4205/
GitHub: www.github.com/lastvalian

Hey Boston Tech & Biotech Community,
Yes, you read that right. I’ve been hunting for roles in Boston’s labs, hospitals, and startups for the past 6 months. While my inbox has seen more automated rejection emails than a spam folder, my passion for ML pipelines is completely intact. I’m currently looking for a PAID Internship, Co-op, or Entry-Level Data/AI role in the Greater Boston area (or Remote). And by "paid", I’m not asking for FAANG money—just something reasonable that proves I’m officially off the "academic volunteer" diet! 😉
🛠️ What I Actually Bring to the Table (No BS):
Healthcare & Genomic AI Warfare: Incoming Research Intern at Harvard Medical School / Boston Children’s Hospital. I build Python processing pipelines for messy, complex biological datasets and turn unstructured data into clean JSON for LLM inference.
Defensive Data Engineering: I don't just write scripts; I build ETL pipelines that don't break when dirty real-world data hits them. Exception handling, schema validation, and type-checking are my bread and butter.
The Tech Stack: * Languages: Python, SQL, JavaScript, R
Frameworks & ML: FastAPI, Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow
Tools & Systems: Linux, Git, Tableau, Docker/Cursor/Claude-assisted dev
Full-Stack ML Prototyping: Built a FastAPI platform parsing medical abstracts with SQL-driven NLP, coupled with PCA denoising and 4 interactive Tableau dashboards.
🎯 What I’m Looking For:
Roles: AI/ML Intern, Data Engineering Intern, Junior Data Analyst, or "The Person Who Fixes Your Broken Data Pipelines".
Type: Paid Internship, Co-op, Part-time, or Full-time.
Location: Greater Boston (On-site / Hybrid) or Remote.
I’m already based in Boston, ready to start yesterday, and I promise to bring both solid code and good vibes to your team.
📩 If you need someone who actually enjoys debugging high-dimensional datasets, let’s chat!
LinkedIn: https://www.linkedin.com/in/lang-qian4205/
GitHub: https://github.com/lastvalian