AI and Machine Learning Data Scientist (Computational Biology)

Join Data Scientist (Computational Biology) TalentCloud

If you possess mastery in any of the roles or skills below, you can apply to this TalentCloud. Once you become an approved Experfy TalentCloud member, you will get exclusive access to jobs and project opportunities from our clients.

Cloud Description

This TalentCloud seeks Computational Biologists who have extensive knowledge of developing computational models that help to obtain qualitative and quantitative knowledge of biomedical processes and structures. These activities should contribute to enriching the analytical capabilities of existing products, as well as design and build lab protocols and computational analyses of new products and services. 

Required Skills 

  • Undergraduate degree in biology or a related field
  • Strong understanding of molecular biology and genomics
  • Understanding of HIPAA and the importance of patient data privacy
  • Proficient in Python
  • Expert in computer vision
  • Proficient in at least one Big Data platform (e.g. Spark)
  • Expert in deep learning (CNN I particular)
  • Expert in knowledge graphs
  • Experience with global matching, local sequence matching, hidden Markov models. Population genetics, gene regulation networks, and chemical equations
  • Expert in supervised (classification, regression) and unsupervised machine learning (anomaly detection, cluster analysis)
  • Proficient in building/ tuning/ testing models using machine learning and deep learning algorithms including tree-based methods, Bayesian models, support vector machines, feed forward networks, recurrent neural networks, and convolutional neural networks
  • Expert in feature engineering and dimensionality reduction methods
  • Expert in pre-processing data including dealing with anomalies and outliers, dealing with missing values, flooring/ capping, and data transformations
  • Hands-on experience writing data processing and data pipeline for structured and unstructured data model development 
  • Expert in statistical models such as regression analysis, survival analysis, and time series analysis
  • Proficient in SQL
  • Excellent communication and storytelling skills 
  • Comfortable working independently
  • Familiarity with version control, especially Git/GitHub

Preferred Skills 

  • PhD degree in computational biology or closely related field 
  • Experience with Apache Spark 
  • Experience with NoSQL databases 
  • Experience with Keras, PyTorch, and TensorFlow 
  • Ability to work with REST APIs
  • Experience in cloud platforms such as GCP, AWS, or Azure

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