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Added 5 mins ago
IG
TS/SCI Full Stack Software Engineer
Insight Global
Beavercreek, OH
- From $68 USD / hour
Experience with Elasticsearch/OpenSearch or distributed search systems
Added 15 mins ago
UG
Lead AI/ML Engineer - Office Based - Eden Prairie, MN
UnitedHealth Group
Eden Prairie, MN
- $145,500 to $249,500 USD / year
As a Lead AI/ML Engineer on the Optum Technology team, you will drive the design, development, and deployment of enterprise-grade machine learning models and artificial intelligence…
Added 18 mins ago
Senior AI Engineer
P&G US Business Serv Co
United States
The Senior AI Engineer is part of our Data, Analytics, and AI job family. This job family is responsible for transforming large complex data sets into pragmatic, actionable insights.…
Added 19 mins ago
Cloud Engineer – Managed IT Services (5117)
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Columbia, SC · Hollywood, MD
We are looking for a skilled Cloud Engineer to join our State and Local Platforms and Data Managed Services team. As a core member of our operations group, you will work across multiple…
Added 21 mins ago
Staff Machine Learning Engineer, Model Platform
Wonder Group, INC
NY
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Added 29 mins ago
Product Manager / Engineer -- TS/SCI
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Added 30 mins ago
Senior Full Stack AI Engineer (US Citizen)
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Added 32 mins ago
Senior Software Development Engineer, EC2 Trainium AI Infra
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Seattle, WA
The Software Development Engineer will lead the team in technical strategy, design, build, and operation of infrastructure services including provisioning and availability of AWS…
Added 32 mins ago
Software Development Engineer
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Seattle, WA
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Added 32 mins ago
Network Security Engineer, ADC Security
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Added 37 mins ago
IG
REMOTE ML Ops Engineer
Insight Global
Remote, United States
- From $71 USD / hour
…within their environment and are seeking an experienced MLOps Engineer to help operationalize, scale, and support AI solutions in…
Added 39 mins ago
Distinguished Platform Engineer
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Santa Clara, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 41 mins ago
Applied AI Architect
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Remote, United States
…orchestration, guardrails, AI evaluation, and observability…
Added 1 hour ago
Process Integration and Technology Development Engineer
onsemi
Gresham, OR
The Process Integration and Technology Development Engineer defines, develops, and implements silicon process technology for the manufacture of integrated silicon devices. The successful…
Added 1 hour ago
Sr. System Development Engineer, Amazon Leo
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Bellevue, WA
…infrastructure support for integrations and multiple SAP S/4HANA systems, develop infrastructure as code (IaC) to provision, configure, and maintain secure, scalable, and reliable cloud…
Added 1 hour ago
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Data Engineer
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- $52 to $57 USD / hour
Kforce has a client in Irving, TX that is seeking a Data Engineer.
Added 1 hour ago
Staff Machine Learning Engineer
Indeed
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As a Staff Machine Learning Engineer in our Staffing Technology Marketplace group, you'll own the source data, the models and the business impact behind Indeed's AI-first staffing platform,…
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Senior Data Engineer (Databricks) - Contractor - US
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As a Senior Engineer in the Databricks practice, you will bring a curious mindset and a passion for
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Senior Architect Data Engineer (Databricks) - Contractor - US
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Expertise in NoSQL Databases, Container Management Systems, and AI/ML tools.
Added 1 hour ago
Senior Backend Software Engineer- (AI Platform)
Databricks
Mountain View, CA · San Francisco, CA
Experience with distributed systems, scalable APIs, or cloud-native infrastructure
Added 1 hour ago
Senior AI Software Developer & Engineer (US Citizen)
Remote, United States
Serve as a senior, hands-on full-stack AI engineer and technical authority, leading the technical strategy, design, and delivery of large-scale mission-critical AI systems supporting…
Added 1 hour ago
Software Engineer (AI Agents)
Fluent, LLC
Remote, United States
Fluent is hiring its first dedicated AI Engineer. Over the past year, AI at Fluent has moved from pilots to production: a service desk agent that closes tickets without a human touch, a…
Added 1 hour ago
Software Engineer (AI Agents)
Fluent, LLC
New York, NY
Fluent is hiring its first dedicated AI Engineer. Over the past year, AI at Fluent has moved from pilots to production: a service desk agent that closes tickets without a human touch, a…
Added 1 hour ago
Manager, Engineering
Priority Technology Holdings, LLC
Remote, United States
…the technical bar in any conversation - and the team's senior engineer would say so. AI-native practice is a team standard with expectations, not an encouraged…
Added 1 hour ago
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Security & IT Operations Engineer
Prefect
Remote, United States
- $165,000 to $219,000 USD / year
…need one clear owner. We're hiring a Security & IT Operations Engineer to turn all of it into one setup that runs well and gets easier to run every…

AstraZeneca

Senior Engineer, Process Data Science and Statistics

Gaithersburg, MD, United States
Gaithersburg, United States

The annual base pay (or hourly rate of compensation) for this position ranges from $101,643.20 - $152,464.80.

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Job details

Pay: The annual base pay (or hourly rate of compensation) for this position ranges from $101,643.20 - $152,464.80.
Apply by: May 4, 2027
Posting language: English
Posted: Nov 5, 2026

Original job description

The Sr Engineer will develop and maintain analytical workflows for multivariate process monitoring, predictive modeling of batch outcomes from incoming material, and anomaly detection on high-dimensional process data. 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. The role will also support development of hybrid mechanistic and data-driven models and human-supervised agentic AI applications.

This position reports to the Director, Process Data Science and Statistics lead, Process Engineering, Cell Therapy Development and Operations, and is located Required Qualifications Education

Ph.D. in Chemical Engineering, Biochemical Engineering, Biotechnology, Data Science, Statistics, or related field with 2+ year of relevant experience
OR M.S. in Chemical Engineering, Biochemical Engineering, Biotechnology, Data Science, Statistics, or related field with 4+ years of relevant experience
OR B.S. in Chemical Engineering, Biochemical Engineering, Biotechnology, Data Science, Statistics, or related field with 5+ years of relevant experience Technical Skills
Demonstrated experience in applied data science and statistical methods for process development or manufacturing (process capability, variance components, DOE, control charting, and multivariate analysis)
Proficiency in Python (pandas, scipy, statsmodels, scikit-learn, plotly) and SQL for data analysis and pipeline development
Experience developing and evaluating predictive models, including data preparation, validation, and interpretation of model results
Experience with software development practices including version control, automation, and reproducible analysis workflows
Ability to prepare clear technical documentation and translate complex statistical findings into actionable insights for cross-functional audiences Soft Skills
Excellent cross-functional communication and collaboration in matrixed environments
Ability to work independently, set priorities, and deliver under time-sensitive program and regulatory timelines
Practical problem-solving with ability to translate analytical concepts into maintainable tools and workflows Preferred Qualifications
Experience working with cloud data systems (AWS, Snowflake, Databricks, or similar)
Experience building interactive analytical applications (Streamlit, Dash, or similar)
Experience with multivariate SPC methods, including PCA/PLS, Hotelling T-squared, SPE/DModX, and anomaly detection
Experience with hybrid mechanistic and data-driven modeling, process simulation, digital shadows, or neural ODEs
Experience with AI/ML methods applied to manufacturing or bioprocess problems, including incoming-material batch-outcome prediction and LLM-based or agentic 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

Accountabilities Statistical Strategy & Regulatory Support

Support statistical analysis for comparability assessments (site transfers, significant process changes), process characterization, and control strategy development for cell therapy programs
Apply rigorous statistical frameworks (equivalence testing, process capability analysis, variance component analysis, tolerance intervals) to evaluate drug product quality and support defensible regulatory narratives under tight timelines
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

Develop and maintain process monitoring workflows for pivotal and commercial manufacturing, including statistical control charts, alert/action limits, and trend detection
Build multivariate statistical process control capabilities (e.g., principal component analysis or partial least squares), to support continued process verification, batch review, and investigations
Develop and evaluate anomaly detection methods for high-dimensional process data to support investigation triage and batch review
Build structured interactive reports and dashboards delivering batch visibility, in-process trend tracking, and decision support across programs
Develop predictive models linking incoming material attributes to batch outcomes to support assessment ahead of manufacturing run commitment

Data Infrastructure, Digital Systems and AI/ML

Partner with IT to implement data pipelines and analytical platforms (including tools such as Snowflake, Streamlit applications, and other cloud platforms enabling automated reporting) that connect process development and manufacturing execution data to statistical analysis and decision support
Support manufacturing data digitization, working with IT and manufacturing sites to establish scalable data capture and integration for commercial readiness
Develop and evaluate hybrid mechanistic and data-driven models, including digital shadows and, where appropriate, for process understanding, forecasting, and decision support
Build and maintain reproducible AI/ML workflows, including data preparation, model evaluation, documentation, and monitoring, with emphasis on explainability and traceability
Develop constrained, human-supervised agentic AI applications for knowledge retrieval, investigation and deviation triage, digital batch-record assistance, scheduling support, and guided decision support

Technical Leadership & Mentorship

Contribute to digital manufacturing and data science capability development, supporting AI/ML integration and scalable infrastructure to enable commercial readiness
Translate process and manufacturing questions into practical analytical solutions, prioritizing multivariate process monitoring and incoming-material predictive modeling while supporting evaluation of emerging methods
Share statistical methods, reusable code, and applied data science practices with scientists and engineers to elevate organizational capability
Collaborate cross-functionally with R&D, MSAT, Manufacturing Operations, Quality, and IT to align data capabilities with program needs
Required QualificationsEducation
Ph.D. in Chemical Engineering, Biochemical Engineering, Biotechnology, Data Science, Statistics, or related field with 2+ year of relevant experience
OR M.S. in Chemical Engineering, Biochemical Engineering, Biotechnology, Data Science, Statistics, or related field with 4+ years of relevant experience
OR B.S. in Chemical Engineering, Biochemical Engineering, Biotechnology, Data Science, Statistics, or related field with 5+ years of relevant experience
Technical Skills
Demonstrated experience in applied data science and statistical methods for process development or manufacturing (process capability, variance components, DOE, control charting, and multivariate analysis)
Proficiency in Python (pandas, scipy, statsmodels, scikit-learn, plotly) and SQL for data analysis and pipeline development
Experience developing and evaluating predictive models, including data preparation, validation, and interpretation of model results
Experience with software development practices including version control, automation, and reproducible analysis workflows
Ability to prepare clear technical documentation and translate complex statistical findings into actionable insights for cross-functional audiences
Soft Skills
Excellent cross-functional communication and collaboration in matrixed environments
Ability to work independently, set priorities, and deliver under time-sensitive program and regulatory timelines
Practical problem-solving with ability to translate analytical concepts into maintainable tools and workflows
Preferred Qualifications
Experience working with cloud data systems (AWS, Snowflake, Databricks, or similar)
Experience building interactive analytical applications (Streamlit, Dash, or similar)
Experience with multivariate SPC methods, including PCA/PLS, Hotelling T-squared, SPE/DModX, and anomaly detection
Experience with hybrid mechanistic and data-driven modeling, process simulation, digital shadows, or neural ODEs
Experience with AI/ML methods applied to manufacturing or bioprocess problems, including incoming-material batch-outcome prediction and LLM-based or agentic 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

The annual base pay (or hourly rate of compensation) for this position ranges from $101,643.20 - $152,464.80. Our positions offer eligibility for various incentives - an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.

Date Posted 05-Nov-2026 Closing Date 29-Nov-2026Our 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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More about this job

Skills

Manage quantitative data
Statistics
Process engineering
Chemical engineering
Biotechnology
Documentation
Python
pandas
SciPy
Scikit-learn
SQL
Data analysis
Software development
Communication skills
Collaboration
Work independently
Problem solving
AWS
Snowflake
Databricks
SPC
ML
Reporting
Statistical process control
Forecasting
Leadership
Prioritization
Sales

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