Biopharmaceutical R&D Data Analytics & Visualization Scientist
At a glance
Mid-level Data Analysis & BI role at AbbVie. North Chicago · full-time · $139,818–$142,500 base.
dataroles summary, based on the employer's posting.
What you'll do
- Shape analytical questions with R&D scientists so they can make informed decisions about early discovery work
- Build ways to collect, combine and display large scientific datasets for analysis
- Introduce analytical tools that help scientists examine data and draw useful conclusions
What you bring
- A relevant master's degree plus two years in healthcare or pharma data science or informatics, or a relevant bachelor's degree plus five years
- Experience applying statistical methods, experiment design, regression and modeling to scientific datasets
- Ability to explain findings to R&D stakeholders in accessible written and spoken presentations
- Experience using Python for scientific data analysis and visualization, and SQL for data preparation, database objects and reports
Who this fits
This role suits a mid-career data scientist or informatics professional with life sciences or pharmaceutical research experience. You’ll work in a hybrid arrangement in North Chicago, with three days on site and two days working from home.
From the employer
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 www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.
Biopharmaceutical R&D Data Analytics & Visualization Scientist, AbbVie Inc., North Chicago, IL. Hybrid (onsite 3 days a week/ 2 days WFH).
Key Responsibilities
- Partner with R&D scientists to structure & answer analytical questions critical to the success of early discovery pipeline.
- Collaborate with key stakeholders to frame & tackle essential analytical questions that enable scientists to make data driven decisions.
- Develop & implement innovative technology solutions through data capture, integration, visualization of large, scientific data sets.
- Lead initiatives to implement state-of-the-art tools & enable analysis of scientific data, leading insights to a remarkable impact on patients’ lives.
Education & Experience
Must have a Master’s degree in biology, bioinformatics, cheminformatics, chemistry, data science or related field & 2 years of industry work experience in the healthcare/pharma industry as a data scientist or in an informatics role.
Of the required work experience, must have 1 year:
- applying statistical analyses, experiment design, regression & modeling to scientific data sets;
- translating data results in a non-technical format for written & oral presentations to R & D stakeholders;
- developing statistical analyses & visualizations of scientific data in Python;
- extracting, transforming, & loading data & writing SQL queries, table creation, views, & reporting;
- performing academic or industry research in life sciences or the pharmaceutical industry; &
- managing multiple projects effectively with timely deliverables.
Alternatively, would accept a Bachelor’s degree in biology, bioinformatics, cheminformatics, chemistry, data science or related field & 5 years of industry work experience in the healthcare/pharma industry as a data scientist or in an informatics role.
Of the required work experience, must have 5 years:
- applying statistical analyses, experiment design, regression & modeling to scientific data sets; &
- translating data results in a non-technical format for written & oral presentations to R & D stakeholders.
Of the required work experience, must have 3 years:
- developing statistical analyses & visualizations of scientific data in Python;
- extracting, transforming, & loading data & writing SQL queries, table creation, views, & reporting;
- performing academic or industry research in life sciences or the pharmaceutical industry; &
- managing multiple projects effectively with timely deliverables.
Work experience may be gained concurrently. Will accept combination of education, training & work experience.
Salary Range: $139,818 - $142,500 per year.
Apply online at https://careers.abbvie.com/en or send resume to Job.opportunity.abbvie@abbvie.com. Refer to Req ID: REF49952O
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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 and long-term incentive programs.
AbbVie 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.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
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