Data Scientist III

Overview

Remote
$65 - $69
Contract - W2
No Travel Required

Skills

biological data
Python
PyTorch
BERT
Biology
Data Science
Research
TensorFlow
Artificial Intelligence
Machine Learning (ML)
Large Language Models (LLMs)

Job Details

#W2 Requirements
Job Title: Data Scientist III
Location: Remote
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 modeling techniques in multimodal data analysis
  • Support troubleshooting, optimization, and potential updates of AI models to improve performance.

Requirements:

  • PhD in Computational Science, Computer Science, Data Science, or a related field (Entry Level Candidates are welcome).
  • Masters 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 modeling 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.