Company Description

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.

Job Description

Data Science and Analytics is an ambitious team of Data Scientists and Data Engineers with a unique blend of Business, Scientific, and Machine Learning expertise that seeks to unleash the full potential of AbbVie’s data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose solutions.

The Data Engineer role in DSA is a unique role with blend of data engineering responsibilities in the context of Data Science/ML and AI. A key role to enable application of advanced analytics techniques across clinical development processes. Drives analytics innovation and experimentation to enable data-driven insights for complex business problems across R&D by deploying advanced analytics techniques like Machine Learning and Visual Analytics.

Responsibilities:

• Collaborates with the Data Scientists and cross-functional data stewards to identify appropriate data sources and to enable streamlined data flow for the Data Science and Analytics capabilities across clinical development.
• Develop, construct, test and maintain architectures (such as databases and large-scale process systems) to support strategic projects within Clinical Development
• Build data products and processes which perform data transformation, metadata extraction, workload management and error processing and management.
• Implement standardized, automated operational and quality control processes to deliver accurate and timely data and reporting.
• Adhere to best practices for coding, testing and designing reusable code/component.
• Contribute to the discovery and understanding of new tools, techniques and technologies to change course as needed.
• Develop solutions to improve data reliability, efficiency and quality.
• Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development.
• Self-starter, comfortable with ambiguity, experience initiating and driving projects with minimal oversight and guidance.
• Establish and follow data science and engineering best practices including peer review, code review, documentation, coding standards, data quality and ensure reproducibility and compliance.
• Highly autonomous and productive in accomplishing the deliverables with minimal direction.

Tools and skills you will use in this role:

• Advanced SQL and Python/R
• Working with databases like Oracle, Microsoft SQL server etc.
• Data Cataloging platform like Alation etc.
• Cloud platform like AWS and/or Azure, including but not limited to services like S3, EC2, EMR, MWAA, etc.
• ETL, Orchestration and scheduling tools like Informatica and Airflow
• JIRA, Confluence and agile project methodology
• Interaction with BI tools like PowerBI, Tableau and Spotfire, Web app platforms like Plotly Dash, RShiny etc.

Qualifications

• Bachelors degree in relevant field and at least 5 years relevant experience OR Masters degree in relevant field and at least 4 years experience
• 3+ years of hands-on experience in advanced SQL, Python, or R.
• Experience delivering Data and Analytical initiatives on modern cloud-based data warehouse solutions, cloud computing and cloud operations preferably AWS and/or Azure.
• Experience with ETL, scheduling and orchestration tools like Airflow is preferred.
• End-to-end experience with data, including querying, aggregation, analysis, and visualization; Fluency in both structured and unstructured data is preferred.
• Experience with IaaS(Infrastructure as Code) and general understanding of end-to-end solution architecture for data science and advanced analytics solutions is preferred.
• Experience with large scale data processing and distributed computing using Spark/Scala is a plus.
• Experience with containerization, DevOps methodologies, Docker/Kubernetes ecosystem is a plus.
• Experience in Data Science and Advanced Analytics domain is preferred.
• Familiarity and general understanding of Machine Learning and statistical models is preferred.
• Biotech / Pharma experience is a plus.
• Good communication and presentation skills, being able to explain complex problems and the solutions applied, and comfortable in presenting technical solutions to a nontechnical audience.
• Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

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• 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. ​

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Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

AbbVie is an equal opportunity employer and 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.

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