Associate Scientist, Process Development (Process Validation & Business Strategy) Job at Amgen (Holly Springs)

Specialist IS Analyst

In this vital role, you will work as part of a Product Team focusing on the Elec...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor's OR Master’s degree with 8–12 years of experience in Software Engineering, Data Science, or Machine Learning Engineering
Strong experience with enterprise application testing in GxP-regulated environments
Hands-on experience with CSV/CSA validation methodologies and documentation
Software engineering best practices: Git, CI/CD (Jenkins, Maven), automated testing
Experience supporting enterprise platforms with issue ticketing and customer-facing support models
Proven experience in Application Support & Maintenance (AMS) for regulated systems
Experience with cloud platforms (AWS, Azure, GCP)
Incident response experience, including P1/P2 production incidents
Experience with ServiceNow, ITIL processes, and change management workflows
Ability to translate vendor capabilities and constraints into business-aligned solutions

Job Responsibility

Work as part of a Product Team focusing on the Electronic Lab Notebook (ELN) and Instrument Data Acquisition Platform, accelerating Amgen’s product development and commercial manufacturing
Collaborate with a dynamic, globally distributed team of technical product owners, business analysts, test/validation engineers, project managers, and scrum masters on the design, development, validation, support, and continuous optimization of Amgen Operations’ ELN ecosystem
Possess strong software development skills and rapidly translate concepts into working, production-ready solutions
Conduct code reviews to ensure quality, security, performance, and adherence to enterprise standards
Create and maintain documentation for architecture, design, validation, deployment, disaster recovery, and operations
Identify, troubleshoot, and resolve complex technical challenges across integrated enterprise platforms
Stay current with emerging technologies, industry best practices, and regulated system development trends
Lead and contribute to enterprise application testing in GxP environments, ensuring compliance with FDA, EMA, and global regulatory requirements
Own and execute CSV/CSA activities, including risk assessments, test strategy, IQ/OQ/PQ (or equivalent), traceability, and validation documentation
Develop and maintain test plans, test scenarios, and test scripts for system enhancements, patches, upgrades, and vendor releases

Senior Applied Scientist

As a Senior Applied Scientist, do you enjoy solving problems, looking at problem...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
equivalent experience
Experience with agentic frameworks and orchestration, agentic retrieval/search (multi-step, adaptive re-search) for enterprise environments, and systematic evals using rubrics + quantitative metrics to measure and improve agent quality end-to-end
3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers)
Experience developing AI Agents
Experience presenting at conferences or other events in the outside research/industry community as an invited speaker
3+ years experience conducting research as part of a research program (in academic or industry settings)
1+ year(s) experience developing and deploying live production systems, as part of a product team

Job Responsibility

Bringing the State of the Art to Products
Establishes collaborative relationships with relevant product and business groups inside or outside of Microsoft and provides expertise or technology to create business impact
Takes initiative and drives activities such as technology transfers attempts, standards organizations, filing patents, authoring white papers, developing or maintaining tools/services for internal Microsoft use, or consulting for product or business groups
May publish research to promote receiving new intellectual property for business impact
Brings new technology and approaches into production by applying long-term research efforts to solve immediate product needs
Collaborates with and bridges the gap between researchers (in community across the company, Microsoft Research [MSR], or in their own organizations) and development teams
Begins to negotiate across teams to ensure cutting edge technology is being applied to products in a practical way that meets key business objectives
Develops an understanding of research approaches used across a group or organization to leverage (and not re-invent) solutions
Independently works to create product impact
Identifies approach, and applies, improves, or creates a research-backed solution (e.g., novel, data driven, scalable, extendable) to positively impact a Microsoft product or service

Fulltime

New

Data Scientist

Location

United States , Sterling Heights

Salary:

52.00 - 62.00 USD / Hour

GeoLogics

Expiration Date

Until further notice

Requirements

Excellent oral and written communications
Proven ability to work within teams in which your contributions are critical to success
Exceptional analytic skills with some knowledge of probability and statistics and mathematical programming
Proficiency with tools such as Power BI, Visual Basic, MS Excel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS/AWS Redshift, SSAS, Alation, Dataiku, Oracle, SQL
Familiarity with Atlassian Jira or ServiceNow
Proficiency with server usage and troubleshooting
Ability to prioritize and self-manage a multi-tasked workload in a fast-paced environment
Must be able to work independently to research, analyze, and form solutions
Must be able to translate data into information
resulting in data-driven actions/recommendations

Job Responsibility

Designing, building, and maintaining the data infrastructure, including databases, data warehouses, and data pipelines
Collect data from various sources (databases, APIs, etc.) and implement efficient data pipelines to transform raw data into usable formats such as dashboards and associated reports and insights
Ensure that data is stored securely, efficiently, and in a manner that is accessible for analysis and reporting
Ensuring the accuracy, consistency, and reliability of data, implementing data validation and quality control processes
Optimize data pipelines for speed, scalability, and performance
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements
Troubleshoot issues with data infrastructure, monitor system performance, and perform regular maintenance
Support configuration control, documentation and change impact analysis on the businesses data architecture model including identification of Authoritative Source of Truth (ASOT) databases, connectors to replicate data from ASOTS to Midas and/or AWSCloud Environments through data transformation within Power BI

Fulltime

Risk Manager

We are seeking a highly motivated Model Risk Manager for Amazon’s Payments Risk ...

Location

Colombia , Bogota

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

3+ years of risk management experience, including building, testing, implementing, and validating models in financial services technology, payments, merchant/acquiring, audit/consulting, business software, retail, or online services companies (preferably AI/ML models)
Bachelor's degree in Financial Engineering, Financial Mathematics, Mathematics, Statistics, Computer Science, or related field, OR equivalent knowledge gained from relevant experience
Proven ability to manage difficult risk programs across multiple teams, with experience designing and implementing model risk management programs or processes from the ground up
Strong data analysis and technical skills, including knowledge of SQL and Big Data technologies like Hadoop or similar
Excellent written and spoken communication skills, with ability to transform complex risk concepts into clear documentation and influence business decisions across stakeholders
knowledge of data management fundamentals and data storage principles

Job Responsibility

Drive vision and execution of tactical elements of governance and compliance activities for AI and machine learning (ML) risk models
Assist in managing AI/ML risk management processes in alignment with regulatory requirements
Work with stakeholders and team members to ensure requisite activities associated with AI/ML regulatory guidance occur
Work with team members and leadership to prepare content and facilitate key stakeholder and working group meetings
Work with key stakeholders to ensure requisite activities within the enterprise AI/ML Risk Management Standard occur
Work with key stakeholders on identifying heightened risks, controls, and value of prospective Al/ML use cases
Work with Enterprise Architecture and data scientists to create and sustain a comprehensive Al/ML use intake process
Maintain the comprehensive inventory of Al/ML use cases, evidence of review and approval, and associated documentation
Partner with other functions (e.g., Legal, Compliance) on requisite review and effective challenge of new Al/ML use cases
Partner with subject-matter-experts and strategic leaders to ensure execution of requisite control activities as articulated in the enterprise Al/ML strategy

What we offer

Inclusive Team Culture
Mentorship & Career Growth
Work/Life Balance
flexibility as part of our working culture

Senior Associate, Product Management- Card Site Team

Product Management at Capital One is a booming, vibrant craft that requires reim...

Location

United States , McLean, Virginia; Richmond, Virginia; Chicago, Illinois; New York, New York

Salary:

101100.00 - 138400.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s degree or military experience
At least 1 year of product management experience or at least 1 year of experience in product design, agile delivery, business analysis, data science, or software engineering

Job Responsibility

Collaborate with tech teams to build comprehensive acceptance criteria, identifying and elevating any need for additional research to define future feature design
Breakdown business epics into features and further into user stories, driving your team towards lowest effort or Minimal Viable Product (MVP) for a valid feature test
Effectively use hypothesis-driven assessment of data to ensure your product or feature delivers on real business needs
Own and prioritize feature development roadmaps, ensuring all necessary processes and procedures are followed to manage risk
Work autonomously in an agile environment, to conduct research and develop features that utilize new and evolving technology
Collaborate with designers, technologists, data scientists and subject-matter experts to build cutting edge solutions to help customers
Deliver well-managed product platforms for customers by seeking to understand technology trends and architecture strategy
By actively participating in horizontal forums, harness a network of trusted relationships among tech teams, designers, key internal stakeholders and partner teams
Articulate a succinct product roadmap to deliver business value and share with with stakeholders, elevating your team’s results and becoming a product matter expert

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Data Observability Consultant

We are looking for a data observability consultant who will help mature data qua...

Location

India

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Bachelor’s degree in any quantitative discipline
7 to 10 years of experience in implementing off-the-shelf or be-spoke data observability solutions
Proven experience with data observability tools such as Acceldata, BigEye, Soda, Monte Carlo, Anomalo etc. Or experience implementing bespoke observability solutions using Grafana, Prometheus or cloud native services
Proven experience as a Data Quality Consultant, Data Quality Engineer or similar role
Proficiency in SQL and other programming languages such as Python or R
Ability to clearly articulate, influence, and thought partner with senior business leaders
Understanding of modern technology trends and data stacks in data management and governance
Experience in running customer workshops and other collaboration sessions to discover customer priorities, understand current state, and determine maturity/readiness to execute on enterprise Data Management & Governance vision
Familiarity with Azure, or GCP and associated DQ capabilities
Understanding of cloud-based data storage and data pipeline architecture

Job Responsibility

Data Observability Management: Define end-to-end data quality and observability solution including data quality operating model and framework using relevant Data Observability tools
Data Observability: Lead development and deployment of off-the-shelf or be-spoke solutions that monitor data pipelines and databases with help of automated checks and alerts
Data Quality Improvement: Develop and implement reactive, predictive, and preventive strategies to improve the quality of data in the data analytics products and platforms using various methods including data cleansing, data enrichment, data validation, data observability and AI/ML
Collaboration: Collaborate with data engineers, data scientists, and other stakeholders to ensure data quality across all stages of the data lifecycle
Innovation in Data Quality & Observability: Stay abreast of industry trends and emerging technologies. Propose innovative solutions to enhance data observability processes
Liaise with information security teams, and business data stewards, to define priorities and roadmaps for managing and mitigating risks related to data security and data privacy
Drive upskilling and adoption initiatives on data observability within customer organizations
Contribute to balanced score cards as well as data collection and reporting process for data governance councils for monitoring progress and tracking bottlenecks
Identify and define opportunities for automating data quality related processes
Collaborate with other Data Management consultants at Lingaro to identify and create repeatable methodologies and templates for effectively delivering data management and governance services

What we offer

Stable employment
“Office as an option” model
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Internal Gallup Certified Strengths Coach to support your growth
Grow as we grow as a company

New

Iis Platforms Cloud Team Leader

As the Cloud Platform Team Leader, you will lead CSIRO’s enterprise and research...

Location

Australia , Canberra;Adelaide;Brisbane;Perth;Sydney;Hobart;Darwin;Melbourne

Salary:

135571.00 - 158863.00 AUD / Year

CSIRO

Expiration Date

June 01, 2026

Requirements

Demonstrated experience leading cloud engineering or DevOps teams in a complex, multi-cloud environment
Deep technical expertise across AWS, Azure, and/or GCP, including architecture, security controls, automation, and operational best practice
Strong understanding of cloud-native technologies (IaC, CI/CD, containers, Kubernetes, observability stacks, API-driven automation)
Proven ability to set strategic direction, lead complex technical programs, and deliver large-scale platform capability uplift
Strong experience in cloud security, governance frameworks, identity management, and compliance obligations (including ISM)
Demonstrated experience with cloud financial optimisation and cost governance models
Excellent stakeholder engagement, communication, and vendor management skills

Job Responsibility

Provide leadership and direction to the Cloud Platforms team, ensuring high-quality delivery of CSIRO’s enterprise and research cloud services across AWS, Microsoft Azure and Google Cloud Platform
Manage the technical aspects of CSIRO’s cloud platform capability, including responsibility for technical roadmaps, service maturity uplift, automation adoption, and alignment with CSIRO’s strategic technology direction
Allocate and coordinate cloud engineering resources to support operational stability, project delivery, and capability uplift across research and enterprise platforms
Drive adoption of cloud-native patterns, Infrastructure-as-Code, CI/CD pipelines, containerisation, and automated operational processes to improve reliability, scalability and efficiency
Lead cloud security uplift in line with Australian Government ISM controls, working with the Cyber Security team to maintain continuous compliance, robust identity models, and appropriate risk management
Oversee cloud cost optimisation activities including FinOps practices, tagging standards, spend forecasting, reserved instance planning, and workload rightsizing

What we offer

15.4% superannuation
Flexible work arrangements
Range of leave entitlements
Career development opportunities

New

Operational Technology Security Domain Architect

We are looking for an Operational Technology Security Domain Architect to streng...

Location

Netherlands , Veldhoven

Salary:

Not provided

ASML

Expiration Date

Until further notice

Requirements

Master's degree in IT, Engineering, or a related field
5+ years of experience in operational technology or hybrid IT/operational technology environments
Proven experience as a System Architect or Operational Technology Architect in complex, high-tech organizations
Deep knowledge of industrial control systems, and secure operational technology network architectures
Experience with architecture frameworks and modeling (e.g. ArchiMate, TOGAF, ISA-95, NIST CSF)
A Certificate of Good Conduct (VOG) is required for this role
This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work.

Job Responsibility

Define and maintain the operational technology security vision, strategy, and long-term roadmap aligned with business and operational needs
Design and communicate high-level operational technology architectures that support secure operations, innovation, and lifecycle management
Translate current and future stakeholder needs into clear architectural blueprints and decision frameworks
Ensure alignment with operational IT and operational technology processes, focusing on security, compliance, and continuous improvement
Drive architectural alignment and adoption by collaborating closely with business, IT, operational technology, and security stakeholders

Fulltime

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Associate Scientist, Process Development (Process Validation & Business Strategy)

Amgen

Location:
United States , Holly Springs

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 08, 2026

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Associate Scientist, Process Development (Process Validation & Business Strategy)

Amgen

Location:United States , Holly Springs

Category:Research and Development

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Job Description:

Job Responsibility:

Requirements:

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Job Posted:January 08, 2026

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