Drive manufacturing data digitization strategy, working with IT and manufacturing sites to ... Mentor scientists and engineers in statistical rigor, DOE principles, and applied data science to ...
Drive manufacturing data digitization strategy, working with IT and manufacturing sites to ... Mentor scientists and engineers in statistical rigor, DOE principles, and applied data science to ...
Drive manufacturing data digitization strategy, working with IT and manufacturing sites to ... Mentor scientists and engineers in statistical rigor, DOE principles, and applied data science to ...
Drive manufacturing data digitization strategy, working with IT and manufacturing sites to ... Mentor scientists and engineers in statistical rigor, DOE principles, and applied data science to ...
Senior Data Scientist
San Francisco, CA · On-site
... energy, manufacturing, data center construction, and cloud services. If you want to do the most ... This full-time position offers you the unique opportunity to drive significant impact across ...
Senior Data Scientist
San Francisco, CA · On-site
... energy, manufacturing, data center construction, and cloud services. If you want to do the most ... This full-time position offers you the unique opportunity to drive significant impact across ...
Senior Data Scientist
Sunnyvale, CA · On-site
... energy, manufacturing, data center construction, and cloud services. If you want to do the most ... This full-time position offers you the unique opportunity to drive significant impact across ...
Quick apply
Senior Data Scientist
Sunnyvale, CA · On-site
... energy, manufacturing, data center construction, and cloud services. If you want to do the most ... This full-time position offers you the unique opportunity to drive significant impact across ...
Senior Data Scientist
San Francisco, CA · On-site
... energy, manufacturing, data center construction, and cloud services. If you want to do the most ... This full-time position offers you the unique opportunity to drive significant impact across ...
Quick apply
Senior Data Scientist
San Francisco, CA · On-site
... energy, manufacturing, data center construction, and cloud services. If you want to do the most ... This full-time position offers you the unique opportunity to drive significant impact across ...
Data Scientist
Raritan, NJ · On-site
Overview: - Data Scientist (Contract-Based) Johnson & Johnson is currently seeking a Data Scientist ... Experience with Demand/Supply Planning, Manufacturing, Inventory Management and Supply Chain ...
Data Scientist
Raritan, NJ · On-site
Overview: - Data Scientist (Contract-Based) Johnson & Johnson is currently seeking a Data Scientist ... Experience with Demand/Supply Planning, Manufacturing, Inventory Management and Supply Chain ...
Data Scientist
Phoenix, AZ · On-site
The Data Scientist will play a crucial role in developing advanced analytics and machine learning ... manufacturing and supply chain use cases such as supplier lead time prediction, inventory ...
Data Scientist
Phoenix, AZ · On-site
The Data Scientist will play a crucial role in developing advanced analytics and machine learning ... manufacturing and supply chain use cases such as supplier lead time prediction, inventory ...
Vianai customers include many of the world's largest and most respected companies in manufacturing ... Employment Type: FULL_TIME
Vianai customers include many of the world's largest and most respected companies in manufacturing ... Employment Type: FULL_TIME
Our vision is to reimagine American manufacturing as a hyperconnected, secure, and resilient ... full time employees including medical, dental, vision, paid time off, company holidays, and 401K ...
New
Quick apply
Our vision is to reimagine American manufacturing as a hyperconnected, secure, and resilient ... full time employees including medical, dental, vision, paid time off, company holidays, and 401K ...
New
Data Scientist
Phoenix, AZ · On-site
The Data Scientist will serve as a key contributor to the company's data and analytics strategy, partnering with manufacturing, supply chain, quality, and IT stakeholders to deliver advanced ...
Data Scientist
Phoenix, AZ · On-site
The Data Scientist will serve as a key contributor to the company's data and analytics strategy, partnering with manufacturing, supply chain, quality, and IT stakeholders to deliver advanced ...
The Data Scientist will serve as a key contributor to the company's data and analytics strategy, partnering with manufacturing, supply chain, quality, and IT stakeholders to deliver advanced ...
Quick apply
The Data Scientist will serve as a key contributor to the company's data and analytics strategy, partnering with manufacturing, supply chain, quality, and IT stakeholders to deliver advanced ...
Data Scientist
Cudahy, WI · On-site
... of manufacturing processes. A successful Data Scientist will work cross-functionally across multiple levels, operate effectively in early-stage development of processes and procedures, and will ...
Data Scientist
Cudahy, WI · On-site
... of manufacturing processes. A successful Data Scientist will work cross-functionally across multiple levels, operate effectively in early-stage development of processes and procedures, and will ...
Bachelor's degree in Data Science, Statistics, or Mathematics from an accredited institution * Prior experience with Howmet, Arconic, or comparable aerospace tier-one manufacturing systems strongly ...
New
Bachelor's degree in Data Science, Statistics, or Mathematics from an accredited institution * Prior experience with Howmet, Arconic, or comparable aerospace tier-one manufacturing systems strongly ...
New
Data Scientists in TOPS contribute to owning, developing and executing the organization ... Identify and frame AI opportunities across Technical Development, Manufacturing, Quality, and ...
Quick apply
Data Scientists in TOPS contribute to owning, developing and executing the organization ... Identify and frame AI opportunities across Technical Development, Manufacturing, Quality, and ...
Data Scientist
Phoenix, AZ · On-site
The Data Scientist will serve as a key contributor to the company's data and analytics strategy, partnering with manufacturing, supply chain, quality, and IT stakeholders to deliver advanced ...
Data Scientist
Phoenix, AZ · On-site
The Data Scientist will serve as a key contributor to the company's data and analytics strategy, partnering with manufacturing, supply chain, quality, and IT stakeholders to deliver advanced ...
Data Scientist 2
Novato, CA · On-site
Data Scientists in TOPS contribute to owning, developing and executing the organization ... Identify and frame AI opportunities across Technical Development, Manufacturing, Quality, and ...
Data Scientist 2
Novato, CA · On-site
Data Scientists in TOPS contribute to owning, developing and executing the organization ... Identify and frame AI opportunities across Technical Development, Manufacturing, Quality, and ...
Identify and frame AI opportunities across Technical Development, Manufacturing, Quality, and ... Fulltime-Regular
Identify and frame AI opportunities across Technical Development, Manufacturing, Quality, and ... Fulltime-Regular
Experience applying data science in product quality, manufacturing quality, or related industrial quality domains * Experience in automotive or advanced manufacturing environments * Proficiency with ...
Experience applying data science in product quality, manufacturing quality, or related industrial quality domains * Experience in automotive or advanced manufacturing environments * Proficiency with ...
Data Scientists in TOPS contribute to owning, developing and executing the organization ... Identify and frame AI opportunities across Technical Development, Manufacturing, Quality, and ...
Data Scientists in TOPS contribute to owning, developing and executing the organization ... Identify and frame AI opportunities across Technical Development, Manufacturing, Quality, and ...
Manufacturing Data Analyst
Whitehall, MI · On-site
Bachelor's degree in Data Science, Statistics, or Mathematics from an accredited institution * Prior experience with Howmet, Arconic, or comparable aerospace tier-one manufacturing systems strongly ...
New
Manufacturing Data Analyst
Whitehall, MI · On-site
Bachelor's degree in Data Science, Statistics, or Mathematics from an accredited institution * Prior experience with Howmet, Arconic, or comparable aerospace tier-one manufacturing systems strongly ...
New
Full Time Manufacturing Data Scientist information
See salary details
$37.5K - $52K
2% of jobs
$52K - $66.4K
3% of jobs
$66.4K - $80.9K
6% of jobs
$80.9K - $95.3K
9% of jobs
$100K is the 25th percentile. Wages below this are outliers.
$95.3K - $109.8K
15% of jobs
The median wage is $119.4K / yr.
$109.8K - $124.2K
22% of jobs
$132.2K is the 75th percentile. Wages above this are outliers.
$124.2K - $138.7K
32% of jobs
$138.7K - $153.1K
3% of jobs
$153.1K - $167.6K
4% of jobs
$167.6K - $182K
1% of jobs
$182K - $196.5K
2% of jobs
$37.5K
$122.7K
$196.5K
How much do full time manufacturing data scientist jobs pay per year?
As of Jun 10, 2026, the average yearly pay for full time manufacturing data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.
What is the difference between Full Time Manufacturing Data Scientist vs Full Time Manufacturing Data Analyst?
| Aspect | Full Time Manufacturing Data Scientist | Full Time Manufacturing Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Data Science, Statistics, or related field; often requires experience with machine learning | Bachelor's in Data Analysis, Statistics, or related field; typically focuses on data interpretation and reporting |
| Work Environment | Collaborates with engineering, production, and R&D teams in manufacturing settings | Works with production and quality teams to analyze manufacturing data |
| Employer & Industry Usage | Used by manufacturing firms seeking advanced predictive models | Common in manufacturing for process improvement and reporting |
While both roles involve analyzing manufacturing data, a Full Time Manufacturing Data Scientist focuses on developing predictive models and advanced analytics, often requiring machine learning expertise. In contrast, a Full Time Manufacturing Data Analyst primarily interprets data and generates reports to support operational decisions. Both roles are vital in manufacturing but differ in technical depth and scope.
More about Full Time Manufacturing Data Scientist jobs
What cities are hiring for Full Time Manufacturing Data Scientist jobs? Cities with the most Full Time Manufacturing Data Scientist job openings:
What are the most commonly searched types of Manufacturing Data Scientist jobs? The most popular types of Manufacturing Data Scientist jobs are:
What states have the most Full Time Manufacturing Data Scientist jobs? States with the most job openings for Full Time Manufacturing Data Scientist jobs include:
What job categories do people searching Full Time Manufacturing Data Scientist jobs look for? The top searched job categories for Full Time Manufacturing Data Scientist jobs are:
Full-time
Posted 14 days ago
AstraZeneca rating
8.6
Based on 43 frontline employees who took The Breakroom Quiz
16th of 71 rated pharmaceutical
Job description
We are seeking an experienced leader, Director, Process Data Science and Statistics lead, Process Engineering, within the Cell Therapy Technical Operations function. This role is responsible for end-to-end statistical strategy, data infrastructure, and AI/ML capabilities that enable regulatory submissions, process characterization, and commercial manufacturing readiness for pivotal-stage cell therapy programs.
The Director will own statistical and digital strategies for comparability assessments, process characterization studies, and commercial process monitoring of the cell therapy programs. This role builds and maintains data systems, analytical platforms, and AI-enabled tooling that connect process characterization and manufacturing execution data to statistical analysis and decision support - scaling from early process development through late-stage clinical development and commercial and post-commercial manufacturing.
This position reports to the Executive Director, Process Engineering, Cell Therapy Development and Operations, and is located in either Santa Monica, CA or Gaithersburg, MD.
Accountabilities
Statistical Strategy & Regulatory Support
Process Monitoring & Reporting
Data Infrastructure & Digital Systems
Technical Leadership & Mentorship
Required Qualifications
Education
Technical Skills
Soft Skills
Preferred Qualifications
When we put unexpected teams in the same room, we fuel bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
The annual base salary for this position ranges from $161,252.80 - $241,879.20. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related experience. If hired, employee will be in an "at-will position" and we reserve the right to modify base salary (and any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Why AstraZeneca?
At AstraZeneca's Biopharmaceuticals R&D division, we are nimble and agile, always harnessing our diverse knowledge. We are part of the solution, turning our drug development strategies into reality. Work at all stages of development to translate our life-changing science into medicines to get the best results for AstraZeneca, patients in need and healthcare professionals. We are a diverse and open-minded team harnessing our different skills and experiences. Our differences enable us to explore new ideas and ways of doing things. It keeps us on our toes and excited for what's next.
Ready to make a difference? Apply today and join us in our mission to create life-changing medicines!
So, what's next!
Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and we hope it's yours.
Where can I find out more?
Check out our landing page for more information on our BPD group https://careers.astrazeneca.com/bpd
Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/
Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en
Date Posted
28-May-2026
Closing Date
18-Jun-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
The Director will own statistical and digital strategies for comparability assessments, process characterization studies, and commercial process monitoring of the cell therapy programs. This role builds and maintains data systems, analytical platforms, and AI-enabled tooling that connect process characterization and manufacturing execution data to statistical analysis and decision support - scaling from early process development through late-stage clinical development and commercial and post-commercial manufacturing.
This position reports to the Executive Director, Process Engineering, Cell Therapy Development and Operations, and is located in either Santa Monica, CA or Gaithersburg, MD.
Accountabilities
Statistical Strategy & Regulatory Support
- Own end-to-end statistical strategy for comparability assessments (site transfers, significant process changes), process characterization, and aids in control strategy development for pivotal-stage cell therapy programs
- Apply rigorous statistical frameworks (equivalence testing, process capability analysis, variance component analysis, tolerance intervals) to evaluate drug product quality and generate defensible regulatory narratives under tight timelines
- Support authoring CMC sections of IND amendments and regulatory submissions; respond to agency questions on manufacturing data and statistical methods
- Design and analyze DOE studies for process characterization and LVV manufacturing, including risk-based parameter selection and interaction modeling
- Support process and product characterization for early development activities
Process Monitoring & Reporting
- Design and maintain process monitoring programs for pivotal and commercial manufacturing, including statistical control charts, alert/action limits, and trend detection
- Support CMC process and product characterization analysis during early development
- Build structured interactive reports and dashboards delivering real-time batch visibility, in-process trend tracking, and decision support across programs
- Support efforts to incorporate AI and ML technologies during early CMC process development
Data Infrastructure & Digital Systems
- Partner with IT to define requirements for data pipelines and analytical platforms (including tools such as Snowflake, Streamlit applications, other cloud platforms enabling automated reporting) that connect process development and manufacturing execution data to statistical analysis and decision support
- Drive manufacturing data digitization strategy, working with IT and manufacturing sites to establish scalable data capture and integration for commercial readiness
- Collaborate with IT to build and maintain data systems including interactive applications for process simulation, lab equipment data integration, and LLM-enabled data analysis and review
- Develop and deploy AI/ML solutions for process development and manufacturing process understanding, including predictive modeling, clustering, and automated data analysis workflows
- Support data digitization strategy for process optimization.
Technical Leadership & Mentorship
- Shape long-term digital manufacturing and data science strategy, driving AI/ML integration and scalable infrastructure to enable commercial readiness
- Support data science strategy and strategic plans for incorporating AI/ML during early CMC Process Development.
- Mentor scientists and engineers in statistical rigor, DOE principles, and applied data science to elevate organizational capability
- Collaborate cross-functionally with R&D, MSAT, Manufacturing Operations, Quality, and IT to align data capabilities with program needs
Required Qualifications
Education
- Ph.D. in Chemical Engineering, Biochemical Engineering, Biotechnology, Data Science, Statistics, or related field with 6+ years of industry experience
- OR M.S. in Chemical Engineering, Biochemical Engineering, Biotechnology, Data Science, Statistics, or related field with 10+ years of industry experience
- OR B.S. with 12+ years of hands-on industry experience
Technical Skills
- Demonstrated expertise in applied data science and statistical methods for process development or manufacturing (equivalence testing, process capability, variance components, DOE, control charting)
- Proficiency in Python (pandas, scipy, statsmodels, scikit-learn, plotly) and SQL for data analysis and pipeline development
- Experience with software development practices including version control, automation, and reproducible analysis workflows
- Experience supporting regulatory submissions (IND, BLA) with statistical analysis and CMC documentation
- Strong communication skills with ability to translate complex statistical findings into actionable insights for cross-functional audiences and regulatory-ready narratives
Soft Skills
- Excellent cross-functional communication and collaboration in matrixed environments
- Ability to work independently, set priorities, and deliver under time-sensitive regulatory timelines
- Strategic thinking with ability to shape long-term data and analytics roadmaps
Preferred Qualifications
- 5+ years of experience working with cloud data systems (AWS, Snowflake, Databricks, or similar)
- Experience building interactive analytical applications (Streamlit, Dash, or similar)
- Experience with AI/ML methods applied to manufacturing or bioprocess problems, including LLM-based tooling
- Experience in cell therapy or biologics manufacturing
- Experience with DOE design and analysis for process characterization
- Track record of building and deploying automated reporting and process monitoring systems
When we put unexpected teams in the same room, we fuel bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
The annual base salary for this position ranges from $161,252.80 - $241,879.20. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related experience. If hired, employee will be in an "at-will position" and we reserve the right to modify base salary (and any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Why AstraZeneca?
At AstraZeneca's Biopharmaceuticals R&D division, we are nimble and agile, always harnessing our diverse knowledge. We are part of the solution, turning our drug development strategies into reality. Work at all stages of development to translate our life-changing science into medicines to get the best results for AstraZeneca, patients in need and healthcare professionals. We are a diverse and open-minded team harnessing our different skills and experiences. Our differences enable us to explore new ideas and ways of doing things. It keeps us on our toes and excited for what's next.
Ready to make a difference? Apply today and join us in our mission to create life-changing medicines!
So, what's next!
Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and we hope it's yours.
Where can I find out more?
Check out our landing page for more information on our BPD group https://careers.astrazeneca.com/bpd
Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/
Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en
Date Posted
28-May-2026
Closing Date
18-Jun-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
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