Jobs at Gordion Bioscience

Data Scientist responsible for developing machine learning and predictive models using genomic and clinical data to support cancer research and drug discovery. The role involves exploratory data analysis, data mining, model development and evaluation, scientific visualization, and development of computational tools. The position works closely with biologists, bioinformaticians, and computer scientists to translate complex genomic data into actionable scientific insights.

• Research and experiment with new methods to integrate raw genomic data into predictive models
• Conduct exploratory data analysis and data mining to uncover insights from genomic and clinical data
• Evaluate and visualize machine learning models for scientific publications and patents
• Communicate results and insights to a diverse team of biologists, bioinformaticians, and computer scientists
• Maintain and update the libraries and tools used for machine learning model development
• Stay up-to-date with the latest developments in data science, machine learning, and biotechnology
• Contribute to the development of new methods and tools to help the organization stay at the cutting edge of the field

• 2 years of experience with machine learning and artificial intelligence
• Ability to program in Python (R, Scala is a plus)
• Familiarity with Python data processing stack: Scikit-learn, Pandas, Numpy, PyTorch, Tensorflow
• Outstanding data analysis and visualization skills (Matplotlib, Plotly, Seaborn, Dash, etc.)
• The candidate’s additional advantage would be an experience with big data processing (Spark, pyspark), knowledge of data warehouse systems, Kubernetes, deep learning, Sql, Bash or familiarity with cloud computing (AWS, GCP) or batch processing (e.g. slurm)
• Proactive attitude and excellent communication skills
• Advanced spoken and written English
• Bachelor’s or Master’s degree in Data Science, Computer Science, Bioinformatics, Computational Biology, Statistics, Mathematics, or a related field.