296 matching jobs for “Data Engineer”

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Amgen

Senior Data Scientist - Protein Data Pipelines

Hyderabad, India

Full time
Regular

Senior Data Scientist - Protein Data Pipelines Role Summary The Senior Data Scientist - Protein Data Pipelines will …

Added Oct 15, 2026

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Amgen

Mgr Data Engineering

Hyderabad, India

Full time
Regular

… and human genetic data to push beyond what’s known today. ABOUT THE ROLE We are seeking a seasoned Senior Data Engineer to drive the development and implementation of our data strategy. The ideal candidate possesses a strong …

Added Oct 15, 2026

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Amgen

Senior Data Scientist

Hyderabad, India

Full time
Regular

As a Senior Data Scientist, you will build and model digital product and platforms that bring Amgen’s AI/ML and GenAI …

Added Oct 15, 2026

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Amgen

Data Scientist (Commercial)

Hyderabad, India

Full time
Regular

… and modeling projects across therapeutic area (TA) delivery and/or investment analytics teams. Assist in data preparation, exploratory analysis, metric tracking, and performance reporting with high accuracy. Help …

Added Oct 15, 2026

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Amgen

Data Scientist (Commercial)

Hyderabad, India

Full time
Regular

… you can be proud of. Live | What you will do Support analytics and predictive modeling projects across Data Science & Measurement and Investment Analytics teams. Assist in data preparation, exploratory analysis, …

Added Oct 15, 2026

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Amgen

Senior Data Scientist

Hyderabad, India

Full time
Regular

What you will do Let's do this. Let's change the world. We are seeking a Senior Data Scientist with strong expertise in machine learning and predictive modeling to join the AI & Data for …

Added Oct 15, 2026

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Amgen

Senior Data Scientist

Hyderabad, India

Full time
Regular

What you will do Let's do this. Let's change the world. We are seeking a Senior Data Scientist to join the AI & Data for Engineered Biologics team within Amgen's Large Molecule Discovery (LMD) …

Added Oct 15, 2026

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Amgen

Reference Data Specialist

Hyderabad, India

Full time
Regular

… more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: Amgen is seeking an experienced …

Added Oct 15, 2026

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Amgen

AI Data Scientist

Hyderabad, India

Full time
Regular

… more than 40 years ago and remains on the cutting edge of innovation, using technology and human genetic data to push beyond what is known today. ABOUT THE ROLE Role Description Global Supply Chain (GSC) is …

Added Oct 15, 2026

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Amgen

Associate Data Analytics

Hyderabad, India

Full time
Regular

Added Oct 15, 2026

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Amgen

Data & Information Architect

Hyderabad, India

Full time
Regular

… more than 40 years ago and remains at the cutting edge of innovation, using technology and human genetic data to push beyond what is known today. ABOUT THE ROLE You will play a critical role in advancing Amgen’s …

Added Oct 15, 2026

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Amgen

Data & Information Architect

Hyderabad, India

Full time
Regular

Added Oct 15, 2026

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Amgen

Sr. Data Scientist – Data Products & Supply Chain Analytics

Hyderabad, India

Full time
Regular

Added Oct 15, 2026

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Amgen

Undergrad Intern – Software Engineer – Technology, AI & Data (Summer 2027)

United States - Remote

Full time
Internship

… Join us and transform the lives of patients while transforming your career. Undergrad Intern – Software Engineer – Technology, AI & Data (Summer 2027) What You Will Do Let’s do this. Let’s change the world. During this …

Added Oct 15, 2026

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Amgen

Grad Intern – Software Engineer – Technology, AI & Data (Summer 2027)

United States - Remote

Full time
Internship

… team. Join us and transform the lives of patients while transforming your career. Grad Intern – Software Engineer – Technology, AI & Data (Summer 2027) What You Will Do Let’s do this. Let’s change the world. During this …

Added Oct 15, 2026

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Amgen

Undergrad Intern – Machine Learning Engineer – Technology, AI & Data (Summer 2027)

United States - Remote

Full time
Internship

… us and transform the lives of patients while transforming your career. Undergrad Intern – Machine Learning Engineer – Technology, AI & Data (Summer 2027) What You Will Do Let’s do this. Let’s change the world. During this …

Added Oct 15, 2026

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Amgen

Grad Intern – Machine Learning Engineer – Technology, AI & Data (Summer 2027)

United States - Remote

Full time
Internship

… Join us and transform the lives of patients while transforming your career. Grad Intern – Machine Learning Engineer – Technology, AI & Data (Summer 2027) What You Will Do Let’s do this. Let’s change the world. During this …

Added Oct 15, 2026

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Amgen

Associate Director - Data Engineering

Hyderabad, India

Full time
Regular

… the lives of patients while transforming your career. What you will do The Associate Director , Enterprise Data Platforms will help transform Amgen’s Data, BI & Governance platforms through Cloud Optimization , …

Added Oct 15, 2026

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Amgen

Senior Associate Data Scientist

Hyderabad, India

… processes, ensuring that patient voices are heard and addressed with utmost precision. As the Sr Associate Data Scientist at Amgen, you will be responsible for developing and deploying basic machine learning, …

Added Oct 18, 2026

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Amgen

Sr Associate Data Scientist

Hyderabad, India

Full time
Regular

… more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE The GCF4 Senior ML Engineer – Agentic AI & Scientific …

Added Oct 15, 2026

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Amgen

Senior Data Scientist - Protein Data Pipelines

Hyderabad, India

Full time
Regular

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Basic Qualifications · employer excerpt

Bachelor’s degree in Computational Biology, Bioinformatics, Life Sciences, Computational Chemistry, Chemical Engineering, Materials Science, Data Science, or a related quantitative field and relevant professional experience.

About this opportunity

Original employer description

Career Category

Research

Job Description

Senior Data Scientist - Protein Data Pipelines

Role Summary

The Senior Data Scientist - Protein Data Pipelines will play a critical role in enabling predictive modeling for protein sequence, structure, and function by building scalable, reliable, and reproducible data pipelines. This role will focus on transforming protein property data and related scientific outputs into ML-amenable assets that support model training, inference, deployment, and ongoing use across research programs.

Working at the intersection of data engineering, MLOps, computational biology, and applied machine learning, this individual will partner with ML developers, wet-lab scientists, domain experts, and distributed technical teams to translate scientific and engineering needs into robust data and inference solutions. The successful candidate will develop reusable frameworks for data engineering, model inference, deployment, validation, testing, and monitoring across in-house and external machine learning models.

This role is ideal for someone who enjoys building production-ready scientific data systems, collaborating across disciplines, and converting complex domain needs into maintainable technical solutions that scale across discovery pipelines.

Key Responsibilities

Scalable Data Pipelines for model training

Design and maintain scalable data pipelines that support predictive model training, with emphasis on protein sequence or structure-to-function applications.
Build ML-model amenable data assets for protein property data that are readable, quality-controlled, reproducible, and suitable for reuse across programs.
Translate scientific and engineering needs into reliable data solutions that support ongoing research and model-development workflows.

Model Deployment & Inference Pipelines

Develop deployment strategies and pipelines to embed trained models into ongoing projects.
Develop reusable inference, deployment, and testing frameworks for in-house and external machine learning models.
Convert model-development outputs into maintainable technical solutions that can be used reliably by research teams.

Data Quality, Validation & Reproducibility

Establish data quality, validation, monitoring, and reproducibility practices for protein property and related scientific datasets.
Implement validation and monitoring approaches that improve confidence in downstream model training, inference, and deployment.
Document data lineage, assumptions, validation outcomes, and reproducibility practices to support long-term reuse.

Cross-Functional Collaboration & Technical Coordination

Serve as a liaison between machine-learning developers and domain experts, including wet-lab collaborators where applicable.
Own and mediate collaborations between ML developers and wet-lab teams to ensure that data, modeling, and experimental needs are aligned.
Coordinate technical work across distributed teams and help align implementation plans, dependencies, and delivery timelines.

Documentation & Knowledge Sharing

Document systems, pipeline behavior, operational expectations, and technical decisions to support adoption and maintenance.
Support knowledge sharing across research, ML, and engineering teams through clear documentation, examples, and reusable implementation patterns.
Scale data and modeling infrastructure practices across research programs and pipelines.

Basic Qualifications

Bachelor’s degree in Computational Biology, Bioinformatics, Life Sciences, Computational Chemistry, Chemical Engineering, Materials Science, Data Science, or a related quantitative field and relevant professional experience.

Experience Requirements

Bachelor’s degree and 6+ years of relevant experience, OR
Master’s degree and 4+ years of relevant experience, OR
PhD

Preferred Qualifications

Scalable Data Engineering

Strong experience building scalable data pipelines in Python and/or SQL.
Experience designing readable, reusable, and maintainable data-processing workflows for scientific or machine-learning applications.
Experience with data pipeline automation, preferably using Databricks.

MLOps, Inference & Deployment

Hands-on experience owning reusable, end-to-end MLOps for at least one machine learning model.
Experience with MLflow is preferred; experience with other model-lifecycle, deployment, or tracking frameworks is also welcome.
Experience developing deployment, inference, validation, or testing workflows that support production-like use of machine learning models.

Data Quality, Monitoring & Reproducibility

Knowledge of data quality control, validation, and monitoring practices.
Experience applying reproducibility practices to scientific data, model-training datasets, or inference workflows.
Ability to identify data quality risks and develop practical controls for downstream model use.

Scientific Domain Experience

Familiarity with computational biology, computational chemistry, computational materials science, or related fields.
Experience working with protein sequence, protein structure, protein property, or related scientific datasets is beneficial.
Preferred experience collaborating with wet-lab teams and translating experimental needs into data or modeling workflows.

Communication & Collaboration

Ability to communicate effectively with machine-learning developers, software and data engineers, domain experts, and research scientists.
Experience coordinating technical work across distributed or cross-functional teams.
Strong documentation habits and commitment to knowledge sharing, maintainability, and long-term adoption.

Success Measures

Success in this role will be demonstrated through:

Delivery of readable, quality-controlled, and reproducible data pipelines for protein property data.
Successful embedding of trained models into ongoing projects through reliable deployment and inference pipelines.
Increased reuse of data-engineering, inference, deployment, validation, and testing frameworks across research programs.
Improved confidence in model-training and inference data through practical quality, monitoring, and reproducibility practices.
Effective collaboration between ML developers, wet-lab teams, domain experts, and distributed technical partners.
Expansion of scalable data and modeling infrastructure across research programs and pipelines.

Typical Candidate Profile

The ideal candidate combines strong data-engineering and MLOps expertise with enough scientific domain fluency to work effectively with ML developers, and experimental collaborators. They enjoy building reusable systems that make complex scientific data reliable, reproducible, and actionable for predictive modeling.

Candidates may come from data science, data engineering, machine learning infrastructure, computational biology, computational chemistry, computational materials science, bioinformatics, or research informatics backgrounds. They are motivated by bridging scientific and engineering needs, supporting production-ready model use, and scaling technical solutions across discovery programs.

Organizational Impact

This role will build ML-amenable data pipelines for protein property data, mediate collaborations between ML developers and wet-lab teams, and scale data and modeling infrastructure across research programs and pipelines. By converting complex domain needs into maintainable, production-ready technical solutions, the Senior Data Scientist - Protein Data Pipelines will help accelerate reliable model development, deployment, and adoption across Large Molecule Discovery.

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Keywords also found in description

Full time
Regular
Technology

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