Job Description
Job title: Data Scientist II
Location: 100% remote
Contract: 6 Months with possible extension
Manager’s Note:
Role Overview
• Primarily research focused, early stage project
• Build and troubleshoot models, understand why they succeed/fail
• Involves both GNN and large language model work
Core Candidate Requirements
• Proficient Python, PyTorch, graph neural network libraries (e.g., GCN, GAT, GraphSAGE)
• Experience with LLMs; not limited to any specific architecture
Preferred / Nice to Have Skills
• Multi omics / bio informatics background (gene expression, mutation data)
• Knowledge graphs (link prediction, relationship modeling)
• Familiarity with AI frameworks (e.g., LLaMA, HuggingFace) – at least one benchmark model
• Cloud deployment experience (AWS/GCP/Azure)
Non Negotiable Skills (Top 3)
• Deep GNN expertise
• Large language model experience
• Strong Python programming / AI experimentation
Key Responsibilities:
• Collaborate with cross-functional teams to design, develop, and deploy AI models tailored to business needs.
• Internalize and integrate external AI programs, ensuring compatibility with our systems.
• Utilize Python/PyTorch/TensorFlow and other programming languages for developing and refining deep learning models
• Research and implement Graphical Neural Network (GNNs) models and contribute to their adaptation for analyzing Knowledge Graphs
• Implement and apply literature and data-driven network integration strategies to infer novel knowledge
• Support troubleshooting, optimization, and potential updates of deployed AI solutions to improve performance.
Qualifications:
• PhD in Computational Science, Computer Science, Data Science, or a related field (fresh graduates are welcome).
• Proficiency in Python programming, with demonstrable experience in PyTorch or TensorFlow.
• Understanding Graph Neural Networks and familiarity with transformers, and analyzing sequential data, experience in deploying AI/ML solutions.
• Strong problem-solving abilities and analytical skills.
• Ability to collaborate in a team-oriented environment while being proactive in managing independent tasks.
Preferred Skills:
• Experience applying state of the art AI methodology on biological systems, specifically on muti-omics data preferred
• Experience in cloud computing environments and deploying AI solutions
• Exposure to other programming languages or AI frameworks (e.g., BERT, LLAMA).
EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”