Data Engineer – Clinical Data Foundation Job at Amgen (Hyderabad)

Sr. Data Engineer – Clinical Data Foundation

The Sr. Data Engineer is responsible for designing, building, maintaining, analy...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s /Bachelor’s degree with 9-12 years of experience in Computer Science, IT or related field
Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
Hands on experience with various Python/R packages for data analysis, feature engineering and machine learning model training
Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools
Excellent problem-solving skills and the ability to work with large, complex datasets
Strong understanding of data governance frameworks, tools, and best practices.
Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)

Job Responsibility

Design, develop, and maintain data solutions for data generation, collection, and processing
Be a key team member that assists in design and development of the data pipeline
Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
Implement data security and privacy measures to protect sensitive data
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions

Senior Business Analyst – Clinical Data Foundation

The Senior Business Analyst leverages domain and business process expertise to d...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s /Bachelor’s degree with 9 - 12 years of experience in Life Science/Biotechnology/Pharmacology/Information Systems experience
Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology
Experience with Agile software development methodologies (Scrum)
Excellent communication skills and the ability to interface with senior leadership with confidence and clarity
Experience in writing requirements for development of modern application
Has experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA

Job Responsibility

Collaborate with System Architects and Product Managers to manage business analysis activities, ensuring alignment with engineering and product goals
Capture the voice of the customer to define business processes and product needs
Work with Product Managers and customers to define scope and value for new developments
Collaborate with Engineering and Product Management to prioritize release scopes and refine the Product backlog
Ensure non-functional requirements are included and prioritized in the Product and Release Backlogs
Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team
Clearly express features in User Stories/requirements so all team members and stakeholders understand how they fit into the product backlog
Translate complex business and technological needs into clear, actionable requirements for development teams
Ensure Acceptance Criteria and Definition of Done are well-defined
Work closely with UX to align technical requirements, scenarios, and business process maps with User Experience designs

Fulltime

Senior Data Engineer

ADC is a European data and AI consultancy with offices in the Netherlands, Swede...

Location

Denmark , København

Salary:

Not provided

Life Science Talent

Expiration Date

Until further notice

Requirements

4+ years of experience in Life Sciences industry as a Data Engineer, ideally gained in consulting or project-based work
A solid foundation in AWS/Azure, Databricks, Python, data modelling, testing and monitoring in production environments
Hands-on experience developing data pipelines for omics data, imaging data, or other scientific datasets
A quantitative academic background: Bioinformatics or similar fields
The ability to communicate with anyone in the room, breaking down complex ideas for technical and non-technical audiences
A proactive and entrepreneurial mindset: you’re eager to solve problems, innovate, and drive change
A collaborative spirit: You believe the best solutions come from diverse perspectives and supporting each other to raise the bar
Ability to work at the intersection of science, engineering, and business
Fluency in English

Job Responsibility

Design, build, and maintain scalable data pipelines for Life Science use cases such as omics, imaging, experimental, and clinical data
Work with complex, high-volume, and heterogeneous datasets, ensuring data quality, traceability, and reproducibility
Develop data solutions on cloud platforms (AWS and/or Azure) that follow modern engineering and security best practices
Contribute to and implement solutions using Databricks and modern data engineering frameworks
Support projects end-to-end, from early discovery and design through to production deployment
Collaborate closely with bioinformaticians, data scientists, AI engineers, and client stakeholders to co-create solutions that work in practice
Share knowledge internally and contribute to ADC's thought leadership in Life Sciences data and AI

What we offer

Impact you can point to: You’ll see your work in action and our projects change how organisations make decisions
Real responsibility, real support: You’ll work alongside experienced experts from the start, learning by doing with mentorship and feedback built in
The freedom to try new things: Spot a better way to build something? A smarter process? We want people who challenge the status quo
Collective Week: Once a year, we go on a workation with the whole ADC team. We work on pro bono projects, explore new ideas, and make the kind of memories you’ll want to talk about
Ownership opportunities: We offer a competitive salary and bonus structure, plus the opportunity to invest in the company and become a co-owner once specific conditions are met. We mean it when we say collective
A vibrant culture: Friday breakfast, sports, social events, and much more: a culture you’ll notice from day one

Fulltime

Data Engineer, Life Sciences

We're leveraging our expertise in data engineering, cloud architecture, and mode...

Location

Denmark , København

Salary:

Not provided

Life Science Talent

Expiration Date

Until further notice

Requirements

4+ years of experience in Life Sciences industry as a Data Engineer, ideally gained in consulting or project-based work
A solid foundation in AWS/Azure, Databricks, Python, data modelling, testing and monitoring in production environments
Hands-on experience developing data pipelines for omics data, imaging data, or other scientific datasets
A quantitative academic background: Bioinformatics or similar fields.
The ability to communicate with anyone in the room, breaking down complex ideas for technical and non-technical audiences
A proactive and entrepreneurial mindset: you’re eager to solve problems, innovate, and drive change
A collaborative spirit: You believe the best solutions come from diverse perspectives and supporting each other to raise the bar.
Ability to work at the intersection of science, engineering, and business
Fluency in English.

Job Responsibility

Design, build, and maintain scalable data pipelines for Life Science use cases such as omics, imaging, experimental, and clinical data.
Work with complex, high-volume, and heterogeneous datasets, ensuring data quality, traceability, and reproducibility.
Develop data solutions on cloud platforms (AWS and/or Azure) that follow modern engineering and security best practices.
Contribute to and implement solutions using Databricks and modern data engineering frameworks.
Support projects end-to-end, from early discovery and design through to production deployment.
Collaborate closely with bioinformaticians, data scientists, AI engineers, and client stakeholders to co-create solutions that work in practice.
Share knowledge internally and contribute to ADC's thought leadership in Life Sciences data and AI.

What we offer

Impact you can point to: You’ll see your work in action and our projects change how organisations make decisions.
Real responsibility, real support: You’ll work alongside experienced experts from the start, learning by doing with mentorship and feedback built in.
The freedom to try new things: Spot a better way to build something? A smarter process? We want people who challenge the status quo.
Collective Week: Once a year, we go on a workation with the whole ADC team. We work on pro bono projects, explore new ideas, and make the kind of memories you’ll want to talk about.
Ownership opportunities: We offer a competitive salary and bonus structure, plus the opportunity to invest in the company and become a co-owner once specific conditions are met.
A vibrant culture: Friday breakfast, sports, social events, and much more: a culture you’ll notice from day one.

Fulltime

Senior Data Platform Engineer

We are looking for a Senior Data Platform Engineer to help build and scale the n...

Location

United States , San Diego

Salary:

143000.00 - 215000.00 USD / Year

ResMed

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a STEM field or equivalent practical experience
Significant hands-on experience as a data engineer or senior software engineer working on data-intensive systems (typically 5–8+ years)
Strong SQL expertise and experience with data modeling on large-scale analytical platforms (Snowflake preferred)
Proven experience building and operating production data pipelines using Python and cloud services
Proficiency with dbt or similar transformation and analytics engineering tools
Solid software engineering fundamentals, including system design, debugging, performance optimization, and maintainable code practices
Experience with Git/GitHub workflows, including pull requests, code reviews, and collaborative development
Hands-on experience building or working with CI/CD pipelines (GitHub Actions preferred), including automated testing and deployments
Ability to work effectively across both data engineering and analytics engineering responsibilities
Strong hands-on experience building and operating data systems on AWS, including designing cloud-native architectures and working with services such as S3, IAM, EC2/ECS/EKS, Lambda, Glue, EMR, or related AWS data and compute services

Job Responsibility

Design, build, and maintain scalable data pipelines for ingestion, transformation, and delivery using Python, SQL, Spark, APIs, and modern cloud-native tools
Develop high-quality analytics and data models in Snowflake using dbt or similar frameworks, with a focus on performance, correctness, and maintainability
Apply strong software engineering practices to data systems, including modular design, testing, code reviews, and version control
Implement automation, monitoring, and observability to ensure reliable and resilient data pipelines in production
Collaborate closely with product managers, analytics engineers, data scientists, and application engineers to deliver data products that drive business and clinical outcomes
Support advanced analytics and ML use cases by building feature pipelines and data foundations for classical ML models and emerging AI-driven workloads
Contribute to shared standards, patterns, and best practices across the data engineering organization through hands-on contributions and technical collaboration

What we offer

comprehensive medical, vision, dental, and life, AD&D, short-term and long-term disability insurance, sleep care management, Health Savings Account (HSA), Flexible Spending Account (FSA), commuter benefits, 401(k), Employee Stock Purchase Plan (ESPP), Employee Assistance Program (EAP), and tuition assistance
Employees accrue fifteen days Paid Time Off (PTO) in their first year of employment, receive 11 paid holidays plus 3 floating days and are eligible for 14 weeks of primary caregiver or two weeks of secondary caregiver leave when welcoming new family members

Fulltime

New

Intermediate Application Support Specialist

We are seeking a highly motivated and customer-focused Intermediate Application ...

Location

Canada , Toronto

Salary:

Not provided

Randstad

Expiration Date

August 02, 2026

Requirements

Salesforce Ecosystem Acumen: Strong hands-on experience supporting Salesforce-based applications, with a solid understanding of standard objects, workflows, flows, profiles, permissions, and dashboards.
SaaS Ticket Lifecycle: Proven experience providing end-user support in a cloud-hosted SaaS environment using enterprise incident management systems (e.g., ServiceNow, Jira, Salesforce Service Cloud).
Data Integration & Flows: Foundational understanding of integrated data streams, synchronization issues, and dependency management across distributed systems.
QA & Testing Capabilities: Functional experience writing or executing test scripts, tracking codebase defects, and validating fixes during release support windows.
Customer Service Focus: A strong customer-first mindset with proven patience, strong listening skills, and the ability to manage high-pressure situations and user expectations.
Problem Solving: Strong critical thinking skills to perform error tracing, analyze underlying patterns across recurring incidents, and suggest structural improvements.
Communication Depth: Clear, structured written and verbal communication skills, with a polished ability to explain complex technical configurations simply to non-technical users.
Regulated Domain Awareness: Familiarity working within large structured frameworks or healthcare-adjacent systems (such as EMRs, clinical assessment tools, or long-term care systems) alongside standard privacy principles is highly valued.
Certifications: Active professional credentials, such as a Salesforce Certified Administrator designation, are considered a strong asset but are not mandatory.

Job Responsibility

Application Troubleshooting: Deliver high-tier technical support and root-cause analysis to triage and resolve application data, record validation, and configuration issues within Salesforce environments
Incident & Queue Management: Manage corporate ticket queues, prioritize incoming incidents based on business impact or urgency, and maintain strict adherence to service level agreements (SLAs)
Technical Documentation: Author and maintain technical support documentation, operational deployment guides, known error databases, and searchable knowledge-base entries
Cross-Functional Liaison: Act as a central point of contact between end users and specialized technical streams—such as Database Administrators, Network Engineers, and Security Specialists—to coordinate issue resolutions
System Maintenance & Releases: Support platform upgrade schedules, change management processes, release cycles, and post-deployment validation activities
Reporting & Analytics: Design, configure, and manage standard reports and visual dashboards to deliver actionable data insights to various business units
Quality Assurance Support: Participate in operational quality assurance reviews, executing functional or regression test cases, and supporting User Acceptance Testing (UAT) tracking
User Enablement & Training: Develop and deliver customized technical training, user-friendly how-to guides, and release notes to business users
Operational Compliance: Ensure all solution support activities comply with corporate digital accessibility guidelines and data protection policies

What we offer

Diverse Tech Exposure: Deepen your technical knowledge within the Salesforce ecosystem, cloud-based SaaS integrations, and modern incident management platforms
Professional Growth: Capitalize on an environment that values cross-functional exposure to Quality Assurance, release validation, and deployment tracking
Long-Term Continuity: Secure a stable 15-month foundational contract offering strong career predictability and extension avenues
Structured Environment: Gain experience supporting critical systems while operating within defined compliance, accessibility, and operational excellence standards

Fulltime

Medical Laboratory Scientist Group Lead

Medical Laboratory Scientist Group Lead - Mount Kisco, NY, Monday to Friday, 8:0...

Location

United States , Mount Kisco

Salary:

35.59 - 58.75 USD / Hour

Quest Diagnostics

Expiration Date

Until further notice

Requirements

Three (3) to five (5) years of clinical experience as a Medical Technologist within the designated discipline
Foreign educated candidates must provide a detailed credential evaluation from IERF (International Education Research Foundation)
United States educated candidates must provide a detailed original transcript
Bachelor's Degree Medical Technology, Chemistry or Biology or Previously qualified as a Technologist under 42 CFR 493. 1433 published in March 14, 1990
Comprehensive theoretical and operational job knowledge in designated specialty required
Knowledge of organizational/departmental policies and procedures
Proven leadership and problem-solving skills
Must be detail-oriented, have the ability to work independently, establish work priorities for self and others and to handle several tasks simultaneously for maximum department efficiency
Ability to schedule and manage resources to meet department goals
Interpersonal skills necessary to deal courteously and effectively with supervisors, co-workers and clients

Job Responsibility

Demonstrate proficiency in all duties of a Medical Technologist I and II
Perform and report on assigned analytical tests in accordance with applicable Standard Operating Procedures (SOP) ensuring that applicable quality control requirements are met
Actively support and comply with laboratory policies and procedures for specimen handling and processing, test analysis, reporting and maintaining records of patient test results
Adhere to analytical schedules to maintain turnaround time of results including STATS or critical results to clients
Perform, review and document QC analysis to ensure accuracy of clinical data and proper instrument function
Make quality control decisions regarding the disposition of an assay or test
Review requests for validity checks and recommend an appropriate course of action taking into account the limitations of specimen requirements and the effects of time and the quality of additional and/or repeat testing
Serve as a technical resource for the department by investigating and resolving analytical testing problems, recommending a course of action in instances identified as beyond acceptable limits, and responding to non-routine/complex inquiries and/or requests from clients and sales representatives
Assist Lab Supervisor by monitoring workflow to meet testing schedules
distributing and reviewing work assignments

What we offer

Day 1 Medical, supplemental health, dental & vision for FT employees who work 30+ hours
Best-in-class well-being programs
Annual, no-cost health assessment program Blueprint for Wellness
healthyMINDS mental health program
Vacation and Health/Flex Time
6 Holidays plus 1 'MyDay' off
FinFit financial coaching and services
401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service
Employee stock purchase plan
Life and disability insurance, plus buy-up option

Fulltime

Director, Applied AI Engineering

We are looking for a Director of Applied AI Engineering to build and lead the te...

Location

United States

Salary:

167703.00 - 268325.00 USD / Year

One Call

Expiration Date

Until further notice

Requirements

Bachelor's degree or the equivalent combination of education, training, or work experience
7+ years of engineering leadership, including managing senior engineers or platforms teams
You've shipped AI to production
You think in products, not models
You've operationalized LLMs
You're comfortable in regulated environments
You're comfortable leading distributed teams
Ability to work in an environment that aligns with the company's diversity, equity, inclusion and belonging standards
Ability to work both independently and in a team environment
Demonstrate our core values of Think Big, Go Fast, Deliver Awe, Win Together and Care Deeply.

Job Responsibility

AI-powered document processing: Real-time extraction, classification, and enrichment pipelines that turn unstructured inputs (faxes, PDFs, clinical documents) into structured, actionable data- at production scale, with production reliability
LLM orchestration and operationalization: Production patterns for integrating large language models into business workflows- prompt management, output validation, guardrails, fallback strategies, and continuous evaluation
Intelligent automation capabilities: Agentic systems and AI-assisted decisioning that replace manual operational workflows with intelligent, auditable automation
AI Platform foundations: Shared data contracts, quality standards, and reusable services that ensure AI systems across One Call operate on consistent, trusted, well-governed information
Evaluation and observability: Metrics, monitoring, and feedback loops that make AI system behavior measurable, debuggable, and continuously improvable
The AI Platform strategy, technical direction, and execution- end to end
A growing engineering team (US and Mexico-based) of senior engineers building production AI systems
The standards and patterns that define how AI capabilities are built, tested, deployed, and monitored across the organization
Close partnership with Product, Architecture, and Application teams to ensure platform capabilities map to real business outcomes- not technology for its own sake.

Fulltime

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Data Engineer – Clinical Data Foundation

Job Description

Job Responsibility

Requirements

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