Position: Data Scientist
Company: CHI Software
Experience required: 3y
English level: upper

Key responsibilities:
Mine and analyze large data sets
Preprocessing of data sets and data clean up
Develop statistical and predictive models on genomic and health related data sets
Analyze genomic data for feature selection Investigate data sets and machine learning models for potential biases and covariates
Coordinate with different functional teams to implement models and monitor outcomes
Develop processes and tools to assess model performance and accuracy
Work with stakeholders throughout the organization
Requirements:

PhD or MSc + 5 years of experience in Computer Science, Statistics, Computational Biology, Scientific Computing or other relevant areas
Proficient in Python language
Working experience with Python modules for data science: Pandas, Scikit-Learn, Scipy, Numpy
Familiar with machine learning modules in python such as PyTorch or Keras Knowledge of advanced statistical techniques and concepts (properties of distributions, statistical tests, regression, etc.), and experience with applications
Knowledge of variety of machine learning techniques (clustering, decision trees, artificial neural networks, etc.)
Familiarity with genomic data types is a plus
Strong problem solving skills
Strong communication and collaboration skills