Process Modeling Scientist Jobs

New

Process Modeling Scientist

Location

China , Shanghai

Salary:

240000.00 - 300000.00 CNY / Year

Randstad

Expiration Date

February 15, 2026

Requirements

M.S. in Chemical Engineering or closely related field with relevant industrial experience in crystallization, particle engineering, or process modeling
or B.S. with directly relevant experience
Hands-on experience implementing PAT for crystallization (e.g., FBRM, PVM, Raman, FTIR), including probe selection, chemometric model development, calibration/validation, and data quality assurance
Demonstrated expertise in crystallization kinetics, PBM, and phase equilibrium/thermodynamics, with a track record of translating models into process designs (seeding strategies, cooling/antisolvent profiles, continuous crystallization)
Proficiency with modeling tools such as gPROMS, Aspen Plus/Custom Modeler, Dynochem, MATLAB, Python, or equivalent for PBM, parameter estimation, and uncertainty analysis
Practical understanding of mixing, heat/mass transfer, and their influence on nucleation/growth
experience with CFD or mixing analyses applied to crystallization
Ability to design and execute lab and pilot studies to generate high-quality data for model development and validation
Fluent English speaking and writing capability

Job Responsibility

CFD, Mixing, and Transport
Crystallization Science & Mechanistic Studies
Kinetics, PBM & Thermodynamics
Process Design, Optimization, and Scale-up
PAT Strategy & Control
Model-Based Experimentation
Route, Form, and Downstream Integration
Digital & Data Science Integration
Cross-functional Collaboration & Documentation

Fulltime

Process Development Scientist

The Process Development Scientist at Amgen leads in the design, development, and...

Location

Singapore , Tuas

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree OR Master’s degree and 2 years of directly related experience OR Bachelor’s degree and 4 years of directly related experience OR Diploma and 8 years of directly related experience
Strong knowledge of technologies and emerging scientific and regulatory directions for API processing is required
At least 6 years of relevant work experience in the commercial manufacturing environment within the biopharmaceutical industry is preferred
At least 4 years experience with regulated environments (i.e. cGMP) is preferred
Extensive knowledge of the manufacturing practices, regulatory requirements, scientific properties and risks associated with synthetic processing
Knowledge of different synthetic API processing platforms (i.e. reaction, concentration, crystallization, isolation, drying)
Experience in the development and qualification of methods used in release, in-process, and stability testing to analyze or to characterize synthetic molecule and product variants, and process-related impurities (e.g., HPLC, UPLC, mass spectrometry)
Setting up and running synthetic molecule laboratory-based experiment
Experience collaborating with experience networking and building solid working relationships across departments, with diverse and remote staff and with external collaborators
Team leadership, management, and facilitation skills

Job Responsibility

Lead in the design, development, and optimization of manufacturing processes
Apply scientific expertise to increase efficiency, improve product quality, and address manufacturing challenges, while maintaining adherence to regulatory standards
Be a Synthetic Chemistry subject matter expert
Provide scientific and technical direction to support commercial production of chemical synthetic drug substance
Support new product introduction, troubleshooting and improvement of existing and new API (synthetic molecule) processes
Assess initiatives associated to process improvements and optimizations
Develop and prepare laboratory-based experiments to support small scale model interrogation, investigations, and process improvements
Plan detailed procedures for defined projects, including timelines, milestones, methodological approaches, expected results and necessary resources
Support and/or lead cross-functional teams of experienced scientists and engineers through project challenges and implement advance scientific experiments
Support and/or lead process, process safety and material risk assessment performed on-site

What we offer

Vast opportunities to learn and move up and across our global organization
Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act
Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits

Senior Data Scientist - AI Modeling

As a Senior Data Scientist - AI Modeling at Baxter, you will work on creating an...

Location

United States

Salary:

104000.00 - 143000.00 USD / Year

Baxter

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in STEM (science, technology, engineering, math) related field or a similar quantitative analytics field
4+ years of professional experience with a variety of data products / data science model / algorithm development and implementing in production
Software development experience
Experience with healthcare data and working in a HIPAA regulated environment preferred
Experience with varying database structures and large datasets preferred
Experience with modern data science tools, such as Spark, Scala, Python, Databricks
Experience in Microsoft Azure cloud environment is preferred
Proficiency with developing data visualization technology and capabilities (i.e., Power BI, Tableau)
Brings a drive for creatively applying pragmatic and scalable approaches to Machine Learning to tackle difficult problems affecting patients and providers
Passionate about working on a high-performance team toward a multi-year vision with incremental deliverables

Job Responsibility

Responsible for the development and implementation of predictive modeling algorithms and techniques to address unmet needs, customer/business problems and optimize user experiences
Conduct in-depth research to stay at the forefront of AI advancements, exploring opportunities to integrate predictive and generative AI models into our products and services
Predictive and generative AI Modeling
Formulate problem statements and hypotheses for diverse business challenges (clinical, operational and business process optimization problems)
Create Spark & Python code in Databricks to retrieve data from across disparate data sources and create new innovative actionable insights
Prepare data for effective model training
Develop, train, and evaluate predictive AI models using various tailored to specific problems
Continuously refine and optimize models for performance, scalability, and efficiency
Deploy models into production environments and supervise their performance
Identify opportunities where generative AI models can add value

What we offer

Comprehensive medical and dental coverage starting on day one
Insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident
Employee Stock Purchase Plan (ESPP) with discount
401(k) Retirement Savings Plan with employee contributions and company matching
Flexible Spending Accounts
Educational assistance programs
Paid holidays
Paid time off ranging from 20 to 35 days based on length of service
Family and medical leaves of absence
Paid parental leave

Fulltime

GenAI Model Risk Data Scientist

The Model Risk Data Scientist position is for a professional who would like to m...

Location

United States , Jersey City; New York

Salary:

142320.00 - 213480.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Master's or advanced degree in quantitative fields such as Mathematics, Statistics, Financial Engineering, Quantitative Finance, Computer Science, Data Science, etc.
AI/ML development experience in a Data Scientist role or similar
NLP development experience in a Data Scientist role or similar
Knowledge of AI risk, safety, and ethics principals and hands-on experience with model validation in a financial institution
Experience in GenAI Model validation or AI/ML Model validation
Experience in a quantitative role in the Financial Markets/Banking/Insurance or experience in Risk capacity at a financial services / insurance institution
Strong organizational and project management skills
Risk and Controls mindset

Job Responsibility

Assist development teams with implementing new GenAI solutions from identification through validation phases
Collaborate with developers and business stakeholders on streamlining the adoption of GenAI within Citi
Own and maintain GenAI solution book of work for eligible GenAI use-cases
Assist with preparations for internal discussions and initial submission for model validation
Own relationships with governance-related stakeholders
Monitor and maintain GenAI solution inventory data and lifecycle
Educate development teams on the model validation process
Own tracking and modeling tools

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages including vacation, sick leave, and paid holidays
discretionary and formulaic incentive and retention awards

Fulltime

Data Scientist

The Data Science Lead Analyst is a strategic professional who stays abreast of d...

Location

United Kingdom , Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

MBA or Advanced Degree Information Systems, Business Analysis / Computer Science
Substantial experience using tools for statistical modeling of large data sets
Process Improvement or Project Management experience
Bachelor’s/University degree or equivalent experience, potentially Masters degree

Job Responsibility

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Consults with business clients to identify system functional specifications and to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
Drives communication between business leaders and IT
exhibits sound and comprehensive communication and diplomacy skills to exchange complex information
Conduct workflow analysis, business process modeling

Fulltime

New

Research Scientist

We’re hiring a Research Scientist strongly committed to the principles of free k...

Location

Salary:

113174.00 - 171720.00 USD / Year

Wikimedia Foundation

Expiration Date

January 15, 2026

Requirements

PhD degree in computer science, information science, statistics, or a related technical field
Demonstrated ability to work on problems with both social and technical components in mixed method settings
Proficiency in Python for data analysis, manipulation, and machine learning model development
Experience with Machine Learning and Natural Language Processing tools
Understanding of Large Language Models and their applications in research
Ability to assess the scientific rigor of empirical research publications studying online communities
Contributions to research communities, including a strong record of scholarly publications and experience serving on program committees for relevant conferences and journals
Strong written and verbal communication skills in English, including the ability to communicate complex technical issues to a cross-team and cross-functional audience

Job Responsibility

Contributing groundbreaking research with a particular focus on Wikipedia’s core content policies, the integrity of its knowledge and communities, and the resilience of its model
Discovering, reading, and evaluating existing research and press coverage on Wikipedia content and its core content policies
Conducting flawless analyses and coordinating work with peers in Research, Communications, Legal, Trust and Safety, and Security in response to incidents
Designing and executing thorough experiments to collect, clean, and analyze data, and/or to develop and evaluate machine learning models
Discussing, documenting, and communicating the process and results of your research publicly
Engaging with the global community of Wikimedia researchers to socialize the team’s work and raise awareness about relevant research questions
Actively engaging in a collaborative, consensus-oriented environment as part of a globally-distributed team and organization
Providing research consulting to the teams in the Wikimedia Foundation, affiliates, and the Wikimedia volunteers

Fulltime

New

Data Scientist

Barbaricum is currently seeking a Data Scientist to join our team, focusing on t...

Location

United States , Fort Belvoir

Salary:

Not provided

Barbaricum

Expiration Date

Until further notice

Requirements

Active DoD Secret Clearance
Bachelor’s Degree in Data Science, Computer Science, Information Systems, or a related field
A minimum of 7 years of experience in a related field, with a strong background in data analysis, data modeling, or a similar domain
Expertise in evaluating data elements, object names, and their attributes, with a keen eye for detail and accuracy
Data Governance Knowledge: Familiarity with data governance principles and practices, including the creation and maintenance of data dictionaries
Strong analytical and problem-solving skills, with the ability to assess complex data structures and ensure their correctness and consistency
Excellent communication skills, capable of clearly articulating technical concepts to non-technical stakeholders and working collaboratively with various teams
A self-starter who can work independently, manage multiple priorities, and drive projects to completion within tight deadlines

Job Responsibility

Technical Evaluation: Provide technical support in evaluating prime object names, data elements, and other objects to ensure they meet project requirements and standards
Object and Attribute Evaluation: Evaluate proposed objects and their attributes for clarity, conciseness, technical correctness, and singularity of concepts
Data Integrity Assurance: Ensure that the values of object attributes and their domains are accurate, correct, and consistent with the overall data and process models
Data Dictionary Maintenance: Create and maintain a comprehensive data dictionary that serves as a reference for the organization, ensuring all data elements are well-documented and easily accessible
Consistency and Compliance: Ensure proposed objects are consistent with existing data models and process models, adhering to best practices in data management and governance
Collaboration and Guidance: Work closely with data architects, analysts, and other stakeholders, providing expertise and guidance on data object definitions and structures

Fulltime

Sr Data Scientist

We are offering an exciting opportunity for a Sr Data Scientist based in Plano, ...

Location

United States , Plano

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proficiency in Data Mining Techniques
Must possess a deep understanding of Budget Processes
Should be highly skilled in Quantitative Analysis
Experience in Financial Modeling is highly desirable
Knowledge of SQL is a must
Proficiency in SAS is required
Must be adept at using Excel
Experience with Access is necessary

Job Responsibility

Apply advanced statistical analytics to assess future risks, opportunities, and effectiveness, translating results into solutions enhancing decision-making
Manage analytics regarding loan performance, including delinquency and credit losses, identify key drivers, and develop forecast expectations
Conduct innovative research projects, encapsulating project design, data collection and analysis, summarization of findings, and presentation of results
Utilize your skills in SQL, SAS, Excel, and Access to facilitate data analysis and financial modeling
Apply your knowledge of consumer lending business to produce advanced analytical material for discussions with cross-functional teams to understand complex business objectives and influence solution strategies
Interact with stakeholders to understand their business questions, craft methodologies to mine/analyze datasets, and deliver insightful recommendations
Use data mining techniques to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights
Participate in budget processes, providing quantitatively-backed recommendations and insights

What we offer

Access to top jobs
Competitive compensation and benefits
Free online training
Medical insurance
Vision insurance
Dental insurance
Life insurance
Disability insurance
401(k) plan

Fulltime

Process Modeling Scientist

Randstad

Location:
China , Shanghai

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 26, 2025

Expiration:
February 18, 2026

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