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Computational Data Scientist

Computational Data Scientist
Rangam
remote
8 months ago

Job Description

Position Title: Computational Scientist

Location/Site: North Chicago, IL, Remote, 100% Onsite, or Hybrid Onsite: Onsite

Seeking a highly motivated and driven data scientist to join our Quantitative, Translational & ADME Sciences (QTAS) team in North Chicago, IL.

The QTAS organization supports the discovery and early clinical pipeline through mechanistically investigating how drug molecules are absorbed, distributed, excreted, metabolized, and transported across the body to predict duration and intensity of exposure and pharmacological action of drug candidates in humans.

Digital workflows, systems, IT infrastructure, and computational sciences are critical and growing components within the organization to help deliver vital results in the early pipeline.

Requirements

  • Experience with programming and/or other technologies; e.g. SQL, Python (including Matplotlib, Seaborn, Plotly, Bokeh), R (including Shiny), Javascript, Java/Scala, MATLAB, etc.
  • Knowledge in Artificial Intelligence/Machine Learning (AI/ML)
  • Degree in Data Science, Computer Science, Computational Chemistry or related field (BS 5+ yrs, MS 2-5 years)
  • Strong proficiency in database technologies (Oracle, mySQL, relational databases; graph databases are a plus)

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.
  • Apply computational tools and machine learning/deep learning techniques to analyze and interpret complex biological data relevant to drug discovery.

Qualifications

  • Bachelor’s or Master’s Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) 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.
  • Demonstrated experience in the analysis and visualization of large datasets.

Key Leadership Competencies

  • Builds strong relationships with peers and cross-functionally with partners outside of team to enable higher performance.
  • Learns fast, grasps the "essence" and can change course quickly where indicated.
  • Raises the bar and is never satisfied with the status quo.
  • Creates a learning environment, open to suggestions and experimentation for improvement.

Expertise level

Work arrangement

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