Associate Scientist, Data II Full-time

Associate Data Scientist II

AbbVie Information Research is seeking an Associate Data Scientist II who would contribute to the architecture, design, and development of the Data & Analytics Platform, supporting world-class research and development at AbbVie. As an Associate Data Scientist, you will be a core member of a high-performance team of data engineers and architects focusing on driving technology innovation and continuous improvement. This role collaborates with solution architects, product owners, program managers, business analysts, infrastructure teams, and service providers to deliver data and analytics solutions.

Associate Data Scientist would contribute to the architecture, design, and development of the fit for purpose Data & Analytics solution in a timely manner, under the direction of a more senior leader. Possess general understanding of software development and technology infrastructure with respect to data and analytics (Databases, Data integration, Data Warehousing, Data Analysis, Visualization Tools and MLOps)

Responsibilities:

• Perform routine tasks competently and independently and generate reliable and consistent results.
• Learn and understand various data engineering activities, including data warehousing, master data management, data cataloging, system integration, data streaming, data visualization, data analysis, and data ops.
• Learn and understand pharmaceutical R&D/Life Science centric datasets.
• Produces and maintains required technical documentation associated with work products.
• Learn and contribute to the architecture, design, development, and maintenance of large-scale data & analytics platforms, system integrations, data pipelines, data models & API integrations to support evolving business strategy.
• Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, data security, and the software development lifecycle.

Qualifications:

Required:

• Bachelor's Degree or equivalent education, with 2 years' experience; or Master's Degree with 0 years' experience.
• Must have experience with software development life cycle.
• Experience with data analysis programming languages (e.g., SQL, Python & Apache Spark, SAS & R).
• Knowledge and practical experience in cloud platforms, Knowledge graph, Elastic search, data streaming, and LLM models.

Preferred:

• Experience working with Pharmaceutical R&D industry-centric datasets is preferred.
• Experience working with Cloud platforms, MPP engines, Graph databases and search is preferred.

Additional Information:

• 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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1. Yes, 5% of the Time

Pay Range: $65500 – 125500 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.