Machine Learning Research Engineer


Depends on Experience
Full Time
Unable to Provide Sponsorship


Scikit - learn
random forests
relational databasesStrong
software engineers

Job Details

Machine Learning Research Engineer

Saama develops life science solutions that accelerate clinical and commercial development. Today, more than 50 biotech companies—including many of the top 20 pharmaceutical companies—use Saama’s award-winning Life Science Analytics Cloud (LSAC) platform to accelerate more than 1,500 studies, including the clinical trial that led to the world’s first COVID-19 vaccine. LSAC’s rich applications facilitate unprecedented and authoritative oversight and automation of comprehensive clinical research data, enabling companies to file New Drug Applications (NDAs) more efficiently and bring treatments to patients sooner. If you're passionate about solving complex problems with machine learning and have experience working with structured data, we'd love to hear from you!

What You’ll Do

  • Work with cross-functional teams to gather and analyze data requirements
  • Develop and implement machine learning models for structured data
  • Perform data pre-processing, feature engineering, and model selection
  • Evaluate and improve model performance using various metrics
  • Collaborate with software engineers to integrate machine learning models into production systems
  • Monitor and maintain machine learning models in a production environment
  • Keep up-to-date with the latest advancements in machine learning and AI
  • Author and publish the novelty of the works accomplished in peer reviewed journals and conferences.

Knowledge, Skills & Abilities

  • Experience in NLP and any of the deep learning frameworks such as TensorFlow, Keras, PyTorch, etc
  • Proficiency with modern statistical modeling (regression, boosting trees, random forests, etc.) including classification, regression, and clustering models
  • Strong experience in Python and its libraries for data analysis and machine learning (such as NumPy, Pandas, Scikit-learn, etc.)
  • Data Analysis Libraries: Pandas, PySpark, Numpy, Matplotlib
  • Advanced analytical skills, including time-series forecasting
  • Knowledge of SQL and working with relational databases
  • Strong problem-solving and analytical skills
  • Excellent communication skills and the ability to work in a team environment

Education and Work Experience

  • Bachelor's or Master's degree or Phd in Computer Science, Mathematics, or a related field
  • 3+ years of experience in building and deploying machine learning models for structured data

Plus to have

  • Prior experience in working with synthetic data
  • Research and publication experience