Data Scientist Associate I
1 day ago
AbbVie is seeking a highly skilled Data Scientist Associate I to join our Business Technology Solutions team. As a key member of our Data Analytics and Visualization team, you will contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.
Purpose
The Data Analytics and Visualization team is comprised of data scientists equipped with a background in the science we enable. We partner with R&D scientists to build and advance solutions that make discovering and developing medicines better. Join this collaborative team in a flexible work environment to help Abbvie make a remarkable impact on people's lives.
Responsibilities
Perform analyses and implement technologies to deliver precise, reliable, and reproducible reports or solutions in a timely manner, under the direction of a more senior leader. Demonstrate technical precision and possess general understanding of software development, data integration and warehousing, and data analysis and visualization tools.
You will create chemistry capabilities for drug design initiatives and chemistry related workflows using cheminformatics methods for scientists in the R&D community. Working closely with the Drug Discovery organization, this person will create technological deployments, data integrations, and scientific applications with the goal to enhance chemical data analysis and visualization, such as structural representation systems and virtual reaction capabilities.
Key Skills
Completely follow established technical protocols and assess results with supervision. Perform routine tasks competently. Effectively organize work. Recognize and report data or technical variances. Learn and effectively implement new methods and technologies. Consult literature and publicly available information to understand purpose of assignments.
Combining chemistry foundation with passion for technology to enable chemistry workflows through chemistry technology solutions (using a breadth of tools such as RDKit and Spotfire). Clear interpersonal communication, proofreading, editing, and formatting skills. Advanced problem-solving and quantitative skills. Navigation of large and complex data sets.
Qualifications
Required: Bachelor's degree in chemistry or equivalent experience. Strong understanding of principles of organic chemistry and chemical structure. Familiarity with Python. Meticulously detail-oriented and eager to delve into vast datasets. Demonstrated effective communication skills. Demonstrated problem-solving and quantitative skills.
Preferred: Strong background in/affinity for computer science or data science. Familiarity with Unix/Linux systems, high-performance compute clusters, or SQL. Comfortable proactively initiating communications for problem solving efforts. Exposure to medicinal or pharmaceutical chemistry, drug-design, computational chemistry.
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