Senior Scientist – Manufacturing Intelligence
United States – Remote
Belgium – Puurs
Canada – Remote
time type: Full time
job requisition id: 4854948
Senior Scientist: Process Modeling and Machine Learning
The Manufacturing Intelligence (MI) team within Pfizer’s Global Technology & Engineering (GT&E) is responsible for driving the development and implementation of advanced analytics including AI/ML, soft sensor, advanced process control, and process condition monitoring solutions in support of manufacturing and future capabilities in Pfizer Global Supply (PGS).
As a member of MI, this role will have the opportunity to develop and implement advanced analytics, real-time soft sensors, machine learning, advanced process control and IIoT solutions/capabilities in manufacturing settings to achieve actionable insights and enable continued improvement for pharmaceutical manufacturing and quality operations.
- Technical contribution to high-impact projects that require data analytics, advanced modeling, and optimization expertise.
- Identify high value opportunities for applying Advanced Analytics, Advanced Process Control (APC), Artificial Intelligence (AI), Machine Learning (ML) and Industrial Internet of Things (IIoT), and develop and deploy innovative fit-for-purpose solutions in manufacturing environment
- Drive development of mathematical and machine learning models and support GMP implementation of such analytics solutions
- Apply engineering principles, modeling tools, and experimental skills using data-rich lab/pilot/manufacturing equipment to improve process understanding and facilitate real-time process monitoring and control
- Collaborate with cross-functional teams and key stakeholders, effectively communicate progress to management, and drive project progress in a timely manner.
Both remote and onsite arrangements are available.
- A PhD degree in relevant engineering major, mathematics, or computer science is preferred.
- Ability to perform data engineering on real world big-data ranging from structured time-series datasets with thousands of features, to unstructured image, text, audio and video data.
- Track record in applying data science and machine learning methodologies to real-world data to generate insight and support decision making.
- Ability to work collaboratively in diverse cross-functional teams on innovative solutions and tools with an open attitude towards fast learning
- Independent, self-motivated personality with excellent oral and written communication skills
- Expertise in first principles (thermodynamics, reaction modeling, heat transfer, mass transfer principles), hybrid modeling. Ability to develop practical process models for real-time applications is a strong plus.
- Experience in cloud-based code development and deployment environments such as AWS SageMaker or Tibco.
- Familiarity with cloud computing based data-warehouses such as Snowflake or Redshift, and relational SQL databases.
- Hands on experience in deep learning and LVM for real-time monitoring and anomaly detection of time-series data and automated root cause analysis.
- Experience in data visualization and real-time GUIs using Streamlit, Plotly, Spotfire, etc.
- Familiarity with feedback control algorithms, real-time communication protocols, industrial process historians, and industrial automation platforms such as DeltaV and ASPEN.
- Familiarity with Pharmaceutical Industry and manufacturing unit operations.
Work Location Assignment: Flexible
Pfizer requires all U.S. new hires to be fully vaccinated for COVID-19 prior to the first date of employment. As required by applicable law, Pfizer will consider requests for Reasonable Accommodations.
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EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer.