Associate Data Scientist I Full-time

Job Title

The Global Research, Informatics & Platform Solutions team within the Information Research (IR) Division works with internal clients to provide data management and decision support tools to optimize the efficiency and efficacy of research and development at AbbVie. Under leadership guidance, this role supports multiple areas within Research & Discovery to build visualizations, transform data, capture data, and support end users. The role also participates in data flow documentation and general requirement gathering. This is a cross-functional role, working directly with discovery scientists and technology stakeholders to optimize data capture, visualization, and decision-making.

Responsibilities:

• Communicate – Ability to communicate with scientific individuals. from Discovery teams to understand existing workflows and data flow & gather requirements.
• Build – Design and implement technology solutions that integrate, visualize, and analyze complex multi-platform data, including omics, biomarkers, & preclinical safety.
• Integrate – Understand the value in capturing data properly and integrating data sets.
• Support – Work directly with scientists to support their dashboarding or technical needs.
• Technical Proficiency – Demonstrate high proficiency in python, SQL, & other technologies for data storage, transfer, integration, visualization, and analytics.
• Adaptability – Ability to work on multiple, sometimes very different, projects at one time.

Qualifications:

• Bachelor's Degree.
• Background in life sciences, biology, or equivalent required.
• Dedicated team player who can interface with discovery scientists and IT partners.
• Strong programming proficiency in Python (and possibly other modern languages) and strong familiarity with data visualization and pipelining tools such as Spotfire, or equivalent
• Understanding of software development process and familiarity with CI/CD tools.
• Excellent communication skills for cross-functional collaboration & training, including documenting and presenting technical solutions to non-technical stakeholders: outstanding interpersonal, verbal, and written communication skills.
• Familiarity with modern data science and AI techniques & interest in further developing technical skills and scientific knowledge.
• Ability to work independently, multitask, and work within timelines.
• A self-motivated learner and thinker with a hands-on approach.

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.

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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Pay Range:

$ 58656 – 103500 USD

USD

Where We Work

Role is primarily site- or office-based but can occasionally be performed remotely. Employees who are site/office-based and can occasionally perform their role virtually work both in the office and remotely*, following the policies and regulations in place at their location. US Employees must be in the office on Tuesday, Wednesday, and Thursday with flexibility to work remotely on Mondays and Fridays. Three days in the office is the minimum; some individuals or teams may require more in-office days due to meetings, business/project needs or their role.