Data Scientist II (Biopharmaceutical R&D Data Analytics & Visualization)
AbbVie
4 months ago
Remote friendly (North Chicago, IL)
United States
Clinical Research and Development
Key Responsibilities:
- Partner with R&D scientists to structure and answer analytical questions critical to the success of early discovery pipeline.
- Collaborate with key stakeholders to frame and tackle essential analytical questions enabling data-driven decisions.
- Develop and implement innovative technology solutions through data capture, integration, visualization of large scientific data sets.
- Lead initiatives to implement state-of-the-art tools and enable analysis of scientific data, producing insights with impact on patients’ lives.
Qualifications:
- Education: Must have a Master’s degree in computer science, software engineering, biology, bioinformatics, cheminformatics, chemistry, data science, or related field.
- Experience: 2 years of industry work experience as a data scientist or in an informatics role.
- Must have 1 year of experience in:
- Applying statistical analyses, experiment design, regression, and modeling to scientific data sets
- Translating data results into non-technical formats for written/oral presentations to R&D stakeholders
- Developing in Python
- Extracting, transforming, and loading data; writing SQL queries; table creation, views, and reporting
- Working in life sciences or the pharmaceutical industry
- Managing multiple projects effectively with timely deliverables
- Alternative: Bachelor’s degree in related fields + 5 years industry experience as a data scientist/in an informatics role, including:
- 5 years applying statistical analyses, experiment design, regression, and modeling; and translating results for R&D stakeholders
- 3 years developing in Python; ETL + SQL/table/view/reporting; life sciences/pharma; managing multiple projects
Application Instructions:
- Apply online at https://careers.abbvie.com/en or send resume to Job.opportunity.abbvie@abbvie.com. Refer to Req ID: REF49755L.
Benefits (as stated):
- Paid time off (vacation, holidays, sick), medical/dental/vision insurance, and 401(k) to eligible employees
- Eligible for short-term and long-term incentive programs
- Partner with R&D scientists to structure and answer analytical questions critical to the success of early discovery pipeline.
- Collaborate with key stakeholders to frame and tackle essential analytical questions enabling data-driven decisions.
- Develop and implement innovative technology solutions through data capture, integration, visualization of large scientific data sets.
- Lead initiatives to implement state-of-the-art tools and enable analysis of scientific data, producing insights with impact on patients’ lives.
Qualifications:
- Education: Must have a Master’s degree in computer science, software engineering, biology, bioinformatics, cheminformatics, chemistry, data science, or related field.
- Experience: 2 years of industry work experience as a data scientist or in an informatics role.
- Must have 1 year of experience in:
- Applying statistical analyses, experiment design, regression, and modeling to scientific data sets
- Translating data results into non-technical formats for written/oral presentations to R&D stakeholders
- Developing in Python
- Extracting, transforming, and loading data; writing SQL queries; table creation, views, and reporting
- Working in life sciences or the pharmaceutical industry
- Managing multiple projects effectively with timely deliverables
- Alternative: Bachelor’s degree in related fields + 5 years industry experience as a data scientist/in an informatics role, including:
- 5 years applying statistical analyses, experiment design, regression, and modeling; and translating results for R&D stakeholders
- 3 years developing in Python; ETL + SQL/table/view/reporting; life sciences/pharma; managing multiple projects
Application Instructions:
- Apply online at https://careers.abbvie.com/en or send resume to Job.opportunity.abbvie@abbvie.com. Refer to Req ID: REF49755L.
Benefits (as stated):
- Paid time off (vacation, holidays, sick), medical/dental/vision insurance, and 401(k) to eligible employees
- Eligible for short-term and long-term incentive programs