Remote Senior AI/ML Engineer - Life Sciences

Praxy

Northern (KY)

Hybrid

USD 99,000 - 199,000

Full time

14 hours ago
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Job summary

Abbott in the United States is seeking a Senior Machine Learning Engineer to lead planning and execution of highly complex AI projects in cancer screening and precision oncology, collaborating with biostatisticians, bioinformatics scientists, and data scientists.

You will drive deployment of state-of-the-art AI methods, mentor junior engineers, and contribute to a strategic AI roadmap while upholding Abbott's values of integrity and quality.

Qualifications

  • Ph.D. or Master’s with relevant quantitative field and 4+ years of experience in statistics, computational biology, or CS.
  • 5+ years of experience with AI and ML algorithms.
  • Mastery of neural networks, deep learning, and reinforcement learning.

Responsibilities

  • Lead development of AI/ML solutions for bioinformatics, biostatistics and data engineering.
  • Collaborate with ML/AI engineers and software teams to design and deploy ML solutions.
  • Set up Agile processes to deliver iterative AI-driven outcomes.
  • Mentor junior team members and share knowledge across the organization.
  • Communicate findings effectively to diverse audiences.

Skills

Advanced AI concepts
Neural networks
Python programming
ML frameworks (TensorFlow/PyTorch/Scik
NLP / CV basics
Large language models/Transformers
Communication skills
US work authorization

Education

PhD in Statistics/Computational Biology/CS or related field
Master’s degree + 4 years experience

Tools

Python
TensorFlow
PyTorch
Scikit-learn (SKLearn)
Open-source AI models

Job description

Abbott in the United States is seeking a Senior Machine Learning Engineer to lead planning and execution of highly complex AI projects in cancer screening and precision oncology, collaborating with biostatisticians, bioinformatics scientists, and data scientists.

You will drive deployment of state-of-the-art AI methods, mentor junior engineers, and contribute to a strategic AI roadmap while upholding Abbott's values of integrity and quality.

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