Biopharmaceutical R&D Data Analytics & Visualization Scientist
About The Position
The Biopharmaceutical R&D Data Analytics & Visualization Scientist partners with R&D scientists and stakeholders to frame and answer analytical questions that support the early discovery pipeline and data-driven decision-making. The role develops and implements technology solutions for capturing, integrating, and visualizing large scientific datasets, and leads initiatives to implement tools that enable scientific data analysis and generate insights with potential impact on patients’ lives. The position is based in North Chicago, Illinois, with a hybrid schedule of three onsite days and two work-from-home days per week. The role requires either a master’s degree in a relevant field and two years of healthcare or pharmaceutical industry experience as a data scientist or in informatics, or a bachelor’s degree in a relevant field and five years of such experience. A combination of education, training, and work experience is accepted, and experience may be gained concurrently.
Requirements
- Master’s degree in biology, bioinformatics, cheminformatics, chemistry, data science, or a related field, plus two years of healthcare or pharmaceutical industry experience as a data scientist or in an informatics role; alternatively, a bachelor’s degree in one of these fields plus five years of such industry experience.
- For the master’s-degree pathway, at least one year applying statistical analyses, experiment design, regression, and modeling to scientific datasets.
- For the master’s-degree pathway, at least one year translating data results into non-technical formats for written and oral presentations to R&D stakeholders.
- For the master’s-degree pathway, at least one year developing statistical analyses and visualizations of scientific data in Python.
- For the master’s-degree pathway, at least one year extracting, transforming, and loading data; writing SQL queries; creating tables and views; and reporting.
- For the master’s-degree pathway, at least one year performing academic or industry research in life sciences or the pharmaceutical industry.
- For the master’s-degree pathway, at least one year managing multiple projects effectively and delivering on time.
- For the bachelor’s-degree pathway, at least five years applying statistical analyses, experiment design, regression, and modeling to scientific datasets and translating results into non-technical formats for written and oral presentations to R&D stakeholders.
- For the bachelor’s-degree pathway, at least three years developing statistical analyses and visualizations of scientific data in Python; performing ETL, SQL queries, table and view creation, and reporting; conducting academic or industry life sciences or pharmaceutical research; and managing multiple projects with timely deliverables.
- A combination of education, training, and work experience is accepted; work experience may be gained concurrently.
Responsibilities
- Partner with R&D scientists to structure and answer analytical questions critical to the success of the early discovery pipeline.
- Collaborate with key stakeholders to frame and address analytical questions that enable scientists to make data-driven decisions.
- Develop and implement technology solutions for data capture, integration, and visualization of large scientific datasets.
- Lead initiatives to implement state-of-the-art tools and enable analysis of scientific data.
Benefits
- Paid time off, including vacation, holidays, and sick time.
- Medical, dental, and vision insurance.
- 401(k).
- Eligibility to participate in short-term and long-term incentive programs.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
