Data Science & Machine Learning Engineer

Life Inc
San Francisco, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 58K

Job location

San Francisco, United States of America

Tech stack

Artificial Intelligence
Data analysis
Big Data
Bioinformatics
Python
Machine Learning
Software Tools
TensorFlow
SQL Databases
PyTorch
Scikit Learn
Information Technology
Data Pipelines

Job description

  • Develop and deploy machine learning models for healthcare and life science data
  • Analyze complex biomedical and clinical datasets to generate actionable insights
  • Build scalable data pipelines for research and production environments
  • Collaborate with scientists, researchers, and engineering teams on data projects
  • Clean, process, and transform large datasets for modeling and analysis
  • Evaluate and optimize ML models for accuracy, reliability, and performance
  • Create dashboards and visualizations to support research findings
  • Stay updated with advancements in AI, bioinformatics, and data science

Requirements

Do you have experience in SQL?, Do you have a Bachelor's degree?, * Bachelor's or Master's degree in Computer Science, Data Science, Bioinformatics, Statistics, or related field

  • Strong proficiency in Python, SQL, and machine learning frameworks (Scikit-learn, TensorFlow, PyTorch)
  • Experience with statistical modeling and data analysis techniques
  • Familiarity with healthcare or life science datasets is a plus
  • Knowledge of cloud platforms and data engineering tools preferred
  • Strong analytical thinking and problem-solving skills
  • Ability to work independently and collaboratively in research-driven environments

Benefits & conditions

  • Competitive compensation package

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