BioSpace
Senior Scientist, Data I (Chemistry, Materials Controls Acceleration)
BioSpace, North Chicago, Illinois, us, 60086
Senior Scientist, Data I (Chemistry, Materials Controls Acceleration)
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 key therapeutic areas such as immunology, oncology, neuroscience, and eye care, as well as Allergan Aesthetics products and services. For more information about AbbVie, please visit at www.abbvie.com.
AbbVie’s Operations Business Insights (OBI) group is continuously innovating to transform the AbbVie operations organization, enabling the use of data and analytics to drive world‑class innovation, performance, and agility in service of patients across the globe. We are looking for a Senior Data Scientist with wide‑range analytics experience to work within a diverse operations business that includes Supply Chain, Manufacturing, Quality, Purchasing, and Science & Technology.
The Senior Data Scientist will build and oversee the building of predictive/prescriptive models using statistical and machine‑learning methodologies. They will ensure end‑to‑end delivery of assigned data science applications, studies, and POCs, overseeing project teams of junior data scientists and data analysts. The role will also serve as a key contributor and thought leader to group strategy, awareness/education activities, and discovery/development/ideation of data science opportunities in the functional areas OBI serves. This role operates about 50% client‑facing and 50% project involvement. Consulting and collaboration skill set is key to success. This is a demanding role with highly visible impact to senior leaders across the operations context.
Responsibilities
Operate cross‑functionally in collaboration with OBI functionally‑aligned data scientists, senior functional leaders, and business partners.
Consult with business users in the analysis of requirements and recommend solutions that anticipate the future impact of changing business requirements.
Seek, develop, and implement opportunities for technology transfer of data science methods into functional areas, spearheading the use of new methods and expanding the footprint of impactful data science.
Develop advanced data analytical models and techniques from supervised and unsupervised machine learning, statistical analysis, and predictive modeling.
Mentor and coach related team members.
Build relationships with stakeholders and collaborate with other statistical and data science teams in AbbVie.
Collaborate with OBI academic partners and AbbVie Innovation Center on research projects and POCs.
Detailed Expectations
High degree of communication and collaboration with functional and business partners.
Maintain and execute practice roadmaps in alignment with functional partners and business partners at multi‑year, annual, and quarterly timescales.
Maintain consulting, educational, and briefing materials commensurate with the evolution of architecture, design, project status, and best practices for the practice/functional area and collaborate on overall team materials.
Devise and operate an effective communication plan with key stakeholders.
Demonstrate thought leadership through proposals and planning for current and future state needs.
Quickly assess new opportunities (AI/ML techniques, technology, etc.) and present these within the current and future state of requirements, risk, and cost‑effectiveness.
Perform requirements discovery, determine feasibility of various approaches, devise experimental approaches to test assumptions, and devise solutions that incorporate non‑functional requirements such as scalability, interpretability, and maintainability.
Drive key internal initiatives such as cross‑functional GenAI development, data science platform evolution, or operations‑wide MLOps/governance/methodology/SLC updates appropriate for AI/ML in addition to planned and ad‑hoc functional initiatives.
Tools and Skills
Expert knowledge of statistical and machine‑learning methods, with expertise in modeling and business analytics.
Data science tools like Knime, Dataiku, AWS SageMaker, statistical languages and packages (e.g., R, Python, Julia, SAS), data visualization tools and techniques (e.g., Tableau, ggplot, matplotlib, R/Shiny, Qlik) and data manipulation tools such as SQL, Spark, PySpark Hive, cloud environments like Azure and AWS.
Expertise in designing and developing processes and systems to consolidate and analyze data, including considerations of variety, volume, data quality, and velocity.
Expertise in processes / procedures for missing data analysis, data quality, master data management and good preparation practices for modeling.
Expertise in story‑telling with data and communicating complex topics to audiences of all levels.
Able to drive internal learning through journal clubs, internal data science education sessions and continuously deepen the team knowledge in data science practice and research.
Able to communicate effectively to an executive level audience.
Qualifications Required:
Undergraduate with 6 years of experience, master’s degree with 5 years of experience, or PhD in a related quantitative field – Data Science/Statistics/Predictive analytics or similar. For advanced degree holders, preference is for quantitative or engineering undergraduates such as chemistry/chemical engineering, mathematics, other industrial/engineering degrees.
Experience in full life‑cycle of building, deploying, monitoring and evolution of complex data science applications including Agile project management processes.
Self‑starter and should be able to align, adapt and manage changing requirements.
Self‑learner able to quickly become effective in new tools, concepts, and academic findings relevant to OBI/stakeholder needs.
Comfortable working in a fast paced, highly collaborative, dynamic work environment.
Preferred:
Experience in Quality, Manufacturing or Central operations context in a large pharmaceutical environment.
Awareness and experience in key industry trends such as Factory 4.0 or Smart Manufacturing in pharmaceutical manufacturing operations.
Experience in technology transfer and innovation practices through consulting experience or through corporate roles supporting these practices.
Experience working with GxP systems.
Experience in MLOps/SLC in Pharmaceutical operations.
Experience in Deep Learning models.
Experience with Apache Spark, TensorFlow, Keras, or common analogues.
Working experience of OS Linux/Unix.
Bachelor’s Degree with 6 years experience; Master’s Degree with 5 years experience; PhD with 0 years experience.
Possess thorough theoretical and practical understanding of own discipline.
Proven implementation of creative technology solutions that advanced the business.
Excellent written and oral English communication skills.
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.
Seniority level:
Mid‑Senior level
Employment type:
Full‑time
Job function:
Research, Analyst, and Information Technology
Location:
North Chicago, IL
#J-18808-Ljbffr
AbbVie’s Operations Business Insights (OBI) group is continuously innovating to transform the AbbVie operations organization, enabling the use of data and analytics to drive world‑class innovation, performance, and agility in service of patients across the globe. We are looking for a Senior Data Scientist with wide‑range analytics experience to work within a diverse operations business that includes Supply Chain, Manufacturing, Quality, Purchasing, and Science & Technology.
The Senior Data Scientist will build and oversee the building of predictive/prescriptive models using statistical and machine‑learning methodologies. They will ensure end‑to‑end delivery of assigned data science applications, studies, and POCs, overseeing project teams of junior data scientists and data analysts. The role will also serve as a key contributor and thought leader to group strategy, awareness/education activities, and discovery/development/ideation of data science opportunities in the functional areas OBI serves. This role operates about 50% client‑facing and 50% project involvement. Consulting and collaboration skill set is key to success. This is a demanding role with highly visible impact to senior leaders across the operations context.
Responsibilities
Operate cross‑functionally in collaboration with OBI functionally‑aligned data scientists, senior functional leaders, and business partners.
Consult with business users in the analysis of requirements and recommend solutions that anticipate the future impact of changing business requirements.
Seek, develop, and implement opportunities for technology transfer of data science methods into functional areas, spearheading the use of new methods and expanding the footprint of impactful data science.
Develop advanced data analytical models and techniques from supervised and unsupervised machine learning, statistical analysis, and predictive modeling.
Mentor and coach related team members.
Build relationships with stakeholders and collaborate with other statistical and data science teams in AbbVie.
Collaborate with OBI academic partners and AbbVie Innovation Center on research projects and POCs.
Detailed Expectations
High degree of communication and collaboration with functional and business partners.
Maintain and execute practice roadmaps in alignment with functional partners and business partners at multi‑year, annual, and quarterly timescales.
Maintain consulting, educational, and briefing materials commensurate with the evolution of architecture, design, project status, and best practices for the practice/functional area and collaborate on overall team materials.
Devise and operate an effective communication plan with key stakeholders.
Demonstrate thought leadership through proposals and planning for current and future state needs.
Quickly assess new opportunities (AI/ML techniques, technology, etc.) and present these within the current and future state of requirements, risk, and cost‑effectiveness.
Perform requirements discovery, determine feasibility of various approaches, devise experimental approaches to test assumptions, and devise solutions that incorporate non‑functional requirements such as scalability, interpretability, and maintainability.
Drive key internal initiatives such as cross‑functional GenAI development, data science platform evolution, or operations‑wide MLOps/governance/methodology/SLC updates appropriate for AI/ML in addition to planned and ad‑hoc functional initiatives.
Tools and Skills
Expert knowledge of statistical and machine‑learning methods, with expertise in modeling and business analytics.
Data science tools like Knime, Dataiku, AWS SageMaker, statistical languages and packages (e.g., R, Python, Julia, SAS), data visualization tools and techniques (e.g., Tableau, ggplot, matplotlib, R/Shiny, Qlik) and data manipulation tools such as SQL, Spark, PySpark Hive, cloud environments like Azure and AWS.
Expertise in designing and developing processes and systems to consolidate and analyze data, including considerations of variety, volume, data quality, and velocity.
Expertise in processes / procedures for missing data analysis, data quality, master data management and good preparation practices for modeling.
Expertise in story‑telling with data and communicating complex topics to audiences of all levels.
Able to drive internal learning through journal clubs, internal data science education sessions and continuously deepen the team knowledge in data science practice and research.
Able to communicate effectively to an executive level audience.
Qualifications Required:
Undergraduate with 6 years of experience, master’s degree with 5 years of experience, or PhD in a related quantitative field – Data Science/Statistics/Predictive analytics or similar. For advanced degree holders, preference is for quantitative or engineering undergraduates such as chemistry/chemical engineering, mathematics, other industrial/engineering degrees.
Experience in full life‑cycle of building, deploying, monitoring and evolution of complex data science applications including Agile project management processes.
Self‑starter and should be able to align, adapt and manage changing requirements.
Self‑learner able to quickly become effective in new tools, concepts, and academic findings relevant to OBI/stakeholder needs.
Comfortable working in a fast paced, highly collaborative, dynamic work environment.
Preferred:
Experience in Quality, Manufacturing or Central operations context in a large pharmaceutical environment.
Awareness and experience in key industry trends such as Factory 4.0 or Smart Manufacturing in pharmaceutical manufacturing operations.
Experience in technology transfer and innovation practices through consulting experience or through corporate roles supporting these practices.
Experience working with GxP systems.
Experience in MLOps/SLC in Pharmaceutical operations.
Experience in Deep Learning models.
Experience with Apache Spark, TensorFlow, Keras, or common analogues.
Working experience of OS Linux/Unix.
Bachelor’s Degree with 6 years experience; Master’s Degree with 5 years experience; PhD with 0 years experience.
Possess thorough theoretical and practical understanding of own discipline.
Proven implementation of creative technology solutions that advanced the business.
Excellent written and oral English communication skills.
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.
Seniority level:
Mid‑Senior level
Employment type:
Full‑time
Job function:
Research, Analyst, and Information Technology
Location:
North Chicago, IL
#J-18808-Ljbffr