1,000+ matching jobs for “Data Engineer”

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Capital One Financial

Principal Data Scientist, AI Foundations

New York City, New York, United States +2 locations

Principal Data Scientist, AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit …

Added Oct 27, 2026

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Capital One Financial

Principal Data Scientist, AI Foundations

New York City, New York, United States +2 locations

Principal Data Scientist, AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit …

Added Oct 27, 2026

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Nvidia

Data Center Power Test Architect

Santa Clara, California, United States

… leave your mark on the design, construction, optimization and testing of our flagship super computers and data center offerings. If you are a dedicated engineer with a deep understanding of data center power systems, …

Added Oct 27, 2026

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Solventum

GSC Intelligence Senior Data Architect

IN, Bangalore Kar

Full time
Regular

… toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at …

Added Nov 3, 2026

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Pacific Life

Summer 2027 Data Engineering Internship

Newport Beach CA-700

Full time
Internship

… to help us innovate and build meaningful relationships for years to come. We are currently looking to add Data Engineering Interns to our team for Summer 2027 at a Fortune 500 company in the financial services …

Added Nov 3, 2026

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Senior Data Engineering, Sumaré/SP

Sumaré, São Paulo, Brazil

In person

… Lead intellectual property creation and protection for innovative and groundbreaking solutions. As a Data Engineer you will play a critical role in modernizing how product development data is captured, integrated, and used …

Added Oct 27, 2026

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Pacific Life

Data Engineering Leader, Workforce Benefits

Charlotte-128 +2 locations

Full time
Regular

… resources to make a positive impact on the future – including your own. We’re actively seeking a talented Data Engineering Leader to join our Workforce Benefits Team in Newport Beach, CA. Reporting to the Head of Data …

Added Nov 6, 2026

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Data Engineering Specialist, Sumaré/SP

Sumaré, São Paulo, Brazil

Hybrid

… deployment of data pipelines Certifications such as Snowflake SnowPro Core/Advanced or Databricks Certified Data Engineer Associate/Professional Ability to manage multiple priorities, execute projects, and meet deadlines in a …

Added Oct 27, 2026

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Amgen

Sr Associate Data Analytics & Reporting

India - Hyderabad

Full time
Regular

… Certifications in Microsoft Power BI , Tableau (Certified Professional) , or Databricks (Data Analyst/Data Engineer) are advantageous and considered a plus. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer …

Added Oct 15, 2026

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Boeing

Spacecraft Command and Data Handling (C&DH) Engineer - Millennium Space Systems

USA - El Segundo, CA

In person

Pay posted by employer$98,600–$145,000

… objectives and constraints Select avionics and onboard processing units that meet flight software (FSW) and data handling needs while balancing performance, power, mass, and cost Perform requirements definition and flow …

Added Oct 12, 2026

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Gilead Sciences

Associate Director, Data & AI Solutions

Tokyo, Japan

Full time
Regular

The Associate Director, Data & AI Solutions – Japan leads prioritized Data, Analytics, Automation, and Artificial Intelligence …

Added Oct 15, 2026

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General Mills

Sr Data Scientist (Operations Research)

Minneapolis, Minnesota, United States

Remote Eligible
Full time
Regular

Pay posted by employer$110,800–$184,800

Partner with data science leadership, AI engineering, business partners, and product owners to develop optimization models …

Added Oct 27, 2026

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Amgen

Senior Data Scientist, Computational Biology

India - Hyderabad

Full time
Regular

Role Summary The AIN-based Computational Biology Senior Data Scientist will design, implement, and advance advanced analytical and AI-driven frameworks to enable …

Added Oct 15, 2026

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Amgen

Senior Data Scientist, Computational Biology

India - Hyderabad

Full time
Regular

Role Summary The AIN-based Computational Biology Data Scientist will design, implement, and advance advanced analytical and AI-driven frameworks to enable …

Added Oct 15, 2026

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Capital One Financial

Data Analytics Manager (Individual Contributor)

Nottingham, England, United Kingdom

Shape the future of UK Data by embedding data architecture, governance, and business context right at the inception of major strategic …

Added Nov 7, 2026

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S&P Global

Sr Analyst, Data Integration & Workflows

Virtual, Netherlands

Full time

Grade Level (for internal use): 11 The Team: The Senior Analyst, Data Integration & Workflows plays a critical role within the Data AI & Enablement organization, serving as a …

Added Oct 27, 2026

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S&P Global

Director of Engineering, Data Platforms

Hyderabad, Telangana, India +1 location

Full time

… requirements are important. Databricks certifications, AWS certifications (such as AWS Certified Data Engineer or AWS Certified Solutions Architect), or equivalent practical platform experience are a plus. AWS …

Added Oct 27, 2026

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State Street

Liquidity Data Implementation - Team Lead

Bengaluru, India

Full time

… documentation, testing, and implementation activities by working closely with business stakeholders, data teams, and technology partners. The position will report to the Liquidity Data Governance Lead. What you …

Added Oct 30, 2026

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Raymond James Financial

Principal Enterprise Data & AI Architect

St. Petersburg, Florida, United States

Permanent

Summary We are seeking a highly experienced Principal Enterprise Data & AI Architect to define, evolve, and operationalize architecture across enterprise data platforms and …

Added Nov 3, 2026

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Data Analysis Intern - Supply Chain

Sant Cugat del Vallès, Catalonia, Spain

Part time
Internship

… maps, templates, and governance materials. Collect, structure, clean, and connect transition-related data from existing trackers and operational sources to improve data quality and traceability. Help design and …

Added Oct 29, 2026

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Amgen

Senior Data Scientist, Computational Biology

India - Hyderabad

Full time
Regular

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Basic Qualifications · employer excerpt

Doctorate degree in Bioinformatics, Computational Biology, Statistics, Mathematics, Computer Science, Data Science, or a related quantitative discipline with 1–2 years of relevant experienceOR
Master’s degree in a quantitative discipline with 5 years of relevant experience
6+ years of experience in an industry setting

About this opportunity

Original employer description

Career Category

Sales & Marketing Operations

Job Description

Role Summary

The AIN-based Computational Biology Data Scientist will design, implement, and advance advanced analytical and AI-driven frameworks to enable translational and reverse-translational insights from clinical trial data across Amgen’s global development portfolio. This role sits at the intersection of computational biology, advanced statistics, and modern machine learning, with a strong emphasis on predictive and prognostic biomarker modeling, multi-omic data integration, and next-generation AI-enabled analytical platforms.

The successful candidate will contribute intellectually and technically to Amgen’s precision medicine strategy by developing rigorous, scalable, and scientifically interpretable models that link molecular, cellular, and clinical phenotypes to disease stratification, efficacy, safety, and adverse event outcomes. This role requires demonstrated depth—not familiarity—in applied modeling, multi-omic analytics, and AI systems, with evidence of impact through peer-reviewed publications, production-grade codebases, or verifiable industry experience.

Key Responsibilities

Advanced Modeling & Translational Analytics

Design and implement predictive and prognostic biomarker models using clinical trial and biomarker data, including response, resistance, disease stratification, and adverse event endpoints.
Develop and apply multi-omic integration frameworks (e.g., factor models, MOFA-style latent variable approaches, matrix factorization, graph-based methods) to jointly analyze genomics, transcriptomics, proteomics, epigenomics, imaging, and clinical covariates.
Apply advanced statistical methodologies relevant to clinical development, including longitudinal and mixed-effects models, survival analysis, missing data and imputation strategies, confounder adjustment, and model interpretability.
Contribute to study-level and cross-program analyses that inform mechanism of action, patient selection strategies, and development decisions.

Machine Learning, AI & Emerging Capabilities

Build and evaluate machine learning, deep learning and causal inference models applied to biological and clinical data, with a clear understanding of model assumptions, limitations, and validation in regulated environments.
Develop or meaningfully contribute to AI-enabled analytical systems, including:
- Foundation and large language model–based approaches (e.g., GPT-class models) for scientific workflows
- Generative models for representation learning, hypothesis generation, or simulation
- Agentic AI systems (assistive, conversational, automated, predictive, or sentinel) to support analysis, decision-making, or platform capabilities
Partner with platform and engineering teams to ensure analytical methods are reproducible, scalable, and production-ready.

Scientific Rigor, Collaboration & Communication

Translate biological and clinical questions into well-defined analytical strategies and clearly articulate modeling choices, assumptions, and uncertainties.
Collaborate closely with biomarker scientists, clinicians, biostatisticians, and data engineers across global teams and time zones.
Communicate complex analytical results and their implications effectively through technical documentation, presentations, and cross-functional forums.
Operate with scientific independence while proactively seeking alignment and clarification in a highly matrixed, global development environment.

Basic Qualifications

Doctorate degree in Bioinformatics, Computational Biology, Statistics, Mathematics, Computer Science, Data Science, or a related quantitative discipline with 1–2 years of relevant experience
OR
Master’s degree in a quantitative discipline with 5 years of relevant experience
6+ years of experience in an industry setting

Preferred Qualifications

Candidates should provide verifiable evidence for most of the following:

Quantitative & Computational Depth

Demonstrated, hands-on experience developing statistical or machine learning models for complex, multi-modal biomedical or clinical datasets, evidenced by:
- Peer-reviewed publications in reputable journals, and/or
- Public or internal GitHub repositories with substantive analytical or modeling contributions, and/or
- Clearly documented industry experience supporting clinical or translational programs.
Proven expertise in Python and R for scientific computing and modeling, including the development of reusable, well-documented analytical code.
Experience with modern ML/DL libraries and frameworks (e.g., PyTorch, TensorFlow, scikit-learn, tidymodels), with an understanding of when such methods are appropriate given clinical context.

Translational & Clinical Relevance

Demonstrated understanding of drug development and clinical trial data, including biomarker strategies, endpoint definitions, and translational study design.
Experience working with real-world clinical or biomarker data, including data QC, preprocessing, feature engineering, integration, modeling, and interpretation.
Familiarity with common clinical biomarker modalities and data types (e.g., NGS, transcriptomics, proteomics, imaging, immunoassays).

AI, Innovation & Platform Mindset

Direct experience applying or extending generative AI, foundation models, or agentic systems for scientific, analytical, or decision-support use cases.
Ability to critically evaluate new methods and technologies and assess their suitability for regulated, high-impact biomedical applications.

Professional & Global Operating Skills

Excellent written and spoken English communication skills, with the ability to explain complex quantitative work to diverse audiences.
Experience working with global teams and stakeholders across time zones; willingness to operate flexibly to support global programs.
Demonstrated intellectual humility, adaptability, curiosity, and the ability to pivot analytical approaches as program needs evolve.
Strong sense of ownership, scientific judgment, and accountability in complex, interdisciplinary projects.

What Will Distinguish Top Candidates

Clear evidence of end-to-end ownership of analytical work that influenced scientific or development decisions.
Depth in framework-building, not just model application.
A demonstrated ability to balance methodological sophistication with biological and clinical relevance.
Prior experience in large, global biotech or pharmaceutical organizations is strongly preferred.

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Keywords also found in description

Full time
Regular
Technology

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