Staff Data Engineer

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 (@abbvie) .

Job Description

Purpose :

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 Staff ML Engineer role is a key technical leadership role to enable application of advanced analytics techniques across clinical development continuum. Partners with Data Scientists and Data Engineers to build and deploy scalable machine learning pipelines. Establishes standards and best practices to ensure consistency.

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 and R&D.

Collaborates across R&D functional areas to link data and key learnings for broad impact on complex, cross-functional projects involving multiple scientific and / or clinical discipline and Advanced Analytics methodologies.

Defines best practices and standards for the development of data products and service processes which perform data transformation, metadata extraction, workload management and error processing management

Guide the implementation of standardized, automated operational and quality control processes to deliver accurate and timely data and reporting

Leads functional process improvement initiatives and 'lessons learned' events

Contributes to the technology strategy and catalyzes the discovery and understanding of new tools, and techniques and drive improvements to the data pipeline

Employs sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling and other analytics capabilities

Develop solutions to improve data reliability, efficiency and quality. Collaborates with IT and identifies opportunities to future-proof the Analytics infrastructure. Influences future technology investments.

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

Responsible for coaching and mentoring junior team members. May include indirect supervision of employee and contract staff.

Qualifications

Qualifications :

MS or PhD in statistics, mathematics, computer science or other quantitative disciplines with 6+ years of experience

Experience with informatica tools (PowerCenter, Big Data Management, Master Data Management), MarkLogic, SAS Analytics, python, R, SQL, and Amazon Web services preferred

Profeciency with one or more general purpose programming languages, including but not limited to : Java, Python, Scala, C, C++, C#, Swift / Objective C, or JavaScript

End-to-end experience with data, including querying, aggregation, analysis, and visualization; Fluency in both structured and unstructured data (SQL, NOSQL) preferred

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

Ability to effectively interact and influence all levels of management in a cross-functional setting

Biotech / Pharma experience is a plus

Experience with docker, Kubernetes ecosystem, ElasticSearch, etc. is plus

Proven leadership traits with ability to lead and inspire staff, and to influence others without direct authority.

This is a remote opportunity that can be hired anywhere in the US

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. ?

This job is eligible to participate in our long-term incentive programs?

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 and serving our community.? Equal Opportunity Employer / Veterans / Disabled.

US & Puerto Rico only - to learn more, visit

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more :

Salary : $121,000 - $230,000