Data Science Expert

1 day ago


North Chicago, Illinois, United States iSoftTek Solutions Inc Full time
Data Science Expert
At iSoftTek Solutions Inc, we're seeking a highly motivated and driven data scientist to join our Quantitative, Translational & ADME Sciences (QTAS) team in the North Chicago area. The ideal candidate will have a substantial background in data and computer science with an emphasis on supporting, developing, and implementing IT solutions for lab-based systems as well as utilizing computational methods.

The successful candidate will have a deep knowledge of AI/ML, with a focus on both supervised and unsupervised learning techniques. They must be adept at applying these methods to large datasets for predictive modeling; in this context, drug properties and discovery patterns in ADME datasets. Proficiency in model validation, optimization, and feature engineering is essential to ensure accuracy and robustness in predictions. The role requires effective collaboration with interdisciplinary teams to integrate AI insights into drug development processes.

Key Responsibilities:
  • Provide business-centric support of IT systems and platforms in support of our scientific operations and processes.
  • Develop, implement, troubleshoot, and support solutions independently for the digital infrastructure and workflows within QTAS including custom platform/coding solutions, visualization tools, integration of new software/hardware, and analysis and troubleshooting support.
  • Lead the analysis of large ADME-related datasets, contributing to the understanding and optimization of drug absorption, distribution, metabolism, and excretion properties.

Estimated Salary: $120,000 - $180,000 per year, depending on experience and qualifications.

Requirements:
  • Bachelor's or Master's Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 years related industry experience.
  • Passion for data analysis, solving technical problems, and applying new technologies to further scientific goals.
  • Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites.


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