Drug Discovery AI/ML Engineer: From Research to Production

BioPhase

San Diego (CA)

On-site

USD 120,000 - 190,000

Full time

9 days ago
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Job summary

BioPhase seeks a hands-on AI/ML Engineer to advance drug discovery through applied data science and informatics. You’ll translate research questions into practical models, build repeatable data pipelines, and collaborate with scientists and engineers to deploy models and tools across research workflows.

The role covers data prep, feature engineering, model development, validation, and deployment, with potential growth into production AI systems and AI-enabled applications.

Qualifications

  • Bachelor’s degree in a quantitative field.
  • 4+ years applying data science, ML, or software engineering to real-world problems.
  • Strong Python and SQL skills with standard ML libraries.
  • Ability to translate research questions into actionable technical plans.

Responsibilities

  • Collaborate with research scientists to scope problems and design ML approaches.
  • Build, test, and refine predictive models using structured and unstructured data.
  • Create reproducible data pipelines with feature generation and quality checks.
  • Document data sources, methods, and results for technical and scientific audiences.
  • Work with engineers to deploy models and workflows in production or research environments.

Skills

Python
SQL
Data analysis
Machine learning
Communication
Team collaboration

Education

Bachelor's degree in CS/Data Science/Math/Stats/related

Tools

Pandas
NumPy
Scikit-learn
TensorFlow/PyTorch

Job description

BioPhase seeks a hands-on AI/ML Engineer to advance drug discovery through applied data science and informatics. You’ll translate research questions into practical models, build repeatable data pipelines, and collaborate with scientists and engineers to deploy models and tools across research workflows.

The role covers data prep, feature engineering, model development, validation, and deployment, with potential growth into production AI systems and AI-enabled applications.

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