Data Science And Machine Learning Researcher

oakland.northeastern.edu

Base: $40ph; bonus/equity: not specified; benefits...
Not specified (assumed on-site or hybrid based on academic research context)
Machine learning model training and development
Building etl pipelines for large datasets
Experience with multi-omics and cell screening data
The Institute for Experiential AI at Northeastern University is seeking a Data Science and Machine Learning Researcher to contribute to AI-driven drug synergy research. The ideal candidate should have a strong background in machine learning, particularly in the context of computational biology, and be capable of building ETL and ML pipelines

Job Summary

  • The Institute for Experiential AI at Northeastern University focuses on combining human and machine intelligence to create impactful AI solutions.
  • The Data Science and Machine Learning Researcher will build data preprocessing and ML pipelines for drug synergy research and collaborate with industry partners.
  • Northeastern University offers a comprehensive benefits package including medical, vision, dental, paid time off, tuition assistance, and retirement plans.

Matching Summary

Match Score: 85

The Institute for Experiential AI at Northeastern University is seeking a Data Science and Machine Learning Researcher to contribute to AI-driven drug synergy research. The ideal candidate should have a strong background in machine learning, particularly in the context of computational biology, and be capable of building ETL and ML pipelines.

Salary

Base: $40/hour; Bonus/Equity: Not specified; Benefits: Medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement, commuting & transportation

Skills & Requirements

Must-have

  • Machine learning model training and development
  • Building ETL pipelines for large datasets
  • Experience with multi-omics and cell screening data
  • Research software development and FAIR data practices
  • Drug synergy AI model development
  • Experience with TensorFlow/PyTorch frameworks

Nice-to-have

  • Strong written and verbal communication skills
  • Interdisciplinary team collaboration
  • Open-minded and professional work ethic
  • Experience contributing to academic publications
  • Innovative and self-starting mindset

Key Requirements

  • MS in computer science, data science, computational biology, or bioinformatics
  • PhD preferred in relevant fields
  • About 5 years of research or academic experience
  • 2+ years experience in computational drug efficacy and toxicity predictions
  • Experience with cell screening assays and cheminformatics data

Work Rights

Not specified

Tailored Resume

Cover Letter