Overview
Remote
On Site
Full Time
Skills
Collaboration
Data Analysis
Optimization
Computational Science
Computer Science
Data Science
Python
PyTorch
TensorFlow
Large Language Models (LLMs)
Machine Learning (ML)
Modeling
Problem Solving
Conflict Resolution
Analytical Skill
Biology
FOCUS
Research
Image Analysis
Deep Learning
Cloud Computing
Programming Languages
Artificial Intelligence
BERT
Job Details
Responsibilities:
- Collaborate with cross-functional teams to design, develop, and implement AI models tailored to business needs.
- Internalize and integrate external AI programs and ensuring compatibility with our systems.
- Utilize Python/PyTorch/TensorFlow and other programming languages for developing and refining deep learning models.
- Research and implement large language models (LLMs) and contribute to their adaptation in Real World Data analysis.
- Implement and apply Bayesian modelling techniques in multimodal data analysis.
- Support troubleshooting, optimization, and potential updates of AI models to improve performance.
- PhD in Computational Science, Computer Science, Data Science, or a related field (Entry Level Candidates are welcome).
- Master's degree also acceptable with 5+ years of experience but prefer PhD.
- Proficiency in Python programming, with demonstrable experience in PyTorch or TensorFlow.
- Understanding of large language models and applied experience in deploying AI/ML solutions.
- Familiarity with Bayesian modelling and its application within AI frameworks is an advantage.
- Strong problem-solving abilities and analytical skills.
- Experience working at the intersection of AI and biology, with a focus on applying AI methodologies to biological data and research.
- Experience in image analysis using deep learning techniques.
- Experience in cloud computing environments.
- Exposure to other programming languages or AI frameworks (e.g., BERT, LLAMA).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.