Senior Data Scientist, QTAS

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

Job Description

AbbVie is seeking a highly motivated and driven Senior 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. This specific job role is designed to act as an SME (subject matter expert) for data science within the technical organization of QTAS.

For this role, the successful 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 candidate should possess a deep knowledge in AI/ML, with a focus on both supervised (like neural networks, decision trees) and unsupervised learning techniques (such as clustering, PCA). 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. Strong communication skills are necessary to convey complex AI/ML 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.

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

• Develop predictive models and algorithms for identifying potential drug candidates with desirable ADME 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

Qualifications:

• Bachelors, Masters, or Ph.D. in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 12+ (BS), 10+ (MS), or 4+ (PhD) years of relevant experience.

• Expert-level 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).

• Experience 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.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
• This job is eligible to participate in our short-term incentive programs.
• This job is eligible to participate in our long-term incentive programs

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVie's policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.

US & Puerto Rico only - to learn more, visit

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: