Computational
2 months ago
Seeking a highly motivated and driven data scientist to join our Quantitative, Translational & ADME Sciences (QTAS) team in North Chicago, IL.
- 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. Strong communication skills are necessary to convey complex AI/Client concepts to a diverse audience.
**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.
- Collaborate with teams across biological sciences and drug discovery to integrate computational insights into practical drug development strategies.
- Communicate findings and strategic input to cross-functional teams, including Translational Science, Medicine, and Late Development groups.
**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.
- 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. Proficiency in any of the following technologies is valued: Python (including libraries such as Matplotlib, Seaborn, Plotly, Bokeh), JavaScript, Julia, Java/Scala, or R (including Shiny).
- Comfortable working in cloud and high-performance computational environments (e.g., AWS and Oracle Cloud)
- Excellent communication skills and ability to work effectively in interdisciplinary teams.
- Understanding of pharma R&D process and challenges in drug discovery is preferred.
- Proven ability to work in a team environment; ability to work well in a collaborative fast-paced team environment.
- Excellent oral and written communication skills and the ability to convey IT related notions to cross-disciplinary scientists.
- Thorough theoretical and practical understanding of own scientific discipline
- Background and/or experience in the biotechnology, pharmaceutical, biology, or chemistry fields is preferred.
**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.
- Embraces the ideas of others, nurtures innovation and manages innovation to reality.
**Job Types**: Full-time, Contract
Pay: $63.00 per hour
Expected hours: 40.00 per week
**Benefits**:
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Schedule:
- 8 hour shift
Ability to Relocate:
- North Chicago, IL: Relocate before starting work (required)
Work Location: In person
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