Clinical Data Engineer Job at iconplc (Livingston)

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

Data Engineer – Clinical Data Foundation

The Data Engineer is responsible for designing, building, maintaining, analyzing...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s /Bachelor’s degree with 5-8 years of experience in Computer Science, IT or related field
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)
Excellent critical-thinking and problem-solving skills
Strong communication and collaboration skills
Demonstrated awareness of how to function in a team setting
Demonstrated presentation skills

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

Lead Data Scientist - Clinical Informatics (Clinical Data Standards)

We’re building a world of health around every individual — shaping a more connec...

Location

United States , New York

Salary:

130295.00 - 260590.00 USD / Year

CVS Health

Expiration Date

June 29, 2026

Requirements

7+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management
Deep expertise in clinical data types and structures, including CCD data, lab results, clinical notes, and administrative healthcare data
Strong knowledge of clinical coding systems and terminologies, such as ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm
Experience designing and documenting data models, taxonomies, or classification frameworks for clinical or healthcare data
Proven ability to enable and support downstream data consumers (analysts, data scientists, business users) through documentation, training, and consultative support
Experience leading cross-functional projects from concept to delivery by coordinating across clinical, technical, and business stakeholders
Proficiency with SQL and experience working with large-scale healthcare datasets
Experience using cloud-based data platforms, preferably Google Cloud Platform (GCP) tools including BigQuery, for querying, transforming, and managing data
Strong understanding of data quality principles, including validation, profiling, and monitoring of healthcare data
Excellent written and verbal communication skills, including the ability to explain complex clinical data concepts to both technical and non-technical audiences

Job Responsibility

Serve as a subject matter expert in clinical data, including CCD data, with deep understanding of how to structure and apply this data to solve healthcare problems
Design and maintain clinical data models, taxonomies, and classification frameworks that enable consistent interpretation and use of clinical data across the organization
Develop and govern the clinical data feature store, establishing standards, documentation, and best practices that accelerate adoption of clinical data for downstream analytics, reporting, and AI/ML use cases
Enable self-service analytics by building well-documented, validated, and reusable data assets (tables, views, features) that empower analysts and data scientists to work independently with clinical data
Create and maintain comprehensive data documentation, including data dictionaries, lineage, business logic, known limitations, and appropriate use guidelines for clinical datasets
Build queries, dashboards, and data visualizations to effectively communicate data quality metrics, data availability, and clinical insights to technical and non-technical stakeholders
Partner with clinical, operational, and business stakeholders to understand their data needs, translate requirements into data solutions, and ensure clinical data assets meet their analytical objectives
Lead and mentor data scientists, data analysts, and data engineers, providing guidance on clinical data interpretation, appropriate use, and best practices for working with healthcare data
Establish data quality frameworks for clinical data, including validation rules, anomaly detection, and monitoring processes to ensure data integrity and reliability
Translate clinical concepts into analytical frameworks, ensuring that business partners understand the capabilities and limitations of available clinical data

What we offer

Medical, dental, and vision coverage
Paid time off
Retirement savings options
Wellness programs
CVS Health bonus, commission or short-term incentive program
Award target in the company’s equity award program

Fulltime

Clinical Data Validation Engineer Specialist

We are currently seeking a Senior Clinical Data Science Programmer to join our d...

Location

India , Bangalore

Salary:

Not provided

iconplc

Expiration Date

Until further notice

Requirements

Advanced degree in a relevant field such as computer science, statistics, or life sciences
Extensive experience in programming for clinical trials, with proficiency in languages such as SAS, R, or Python
Strong problem-solving skills and the ability to work collaboratively in a fast-paced, cross-functional environment
Excellent attention to detail and organizational skills, with a commitment to delivering high-quality results
Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and influence outcomes

Job Responsibility

Developing, validating, and maintaining programming solutions for data analysis and reporting in clinical trials
Collaborating with clinical data scientists and biostatisticians to ensure the integration of programming solutions into the overall data management process
Overseeing the generation of statistical datasets, tables, listings, and figures to support regulatory submissions and study reports
Providing guidance on programming best practices, coding standards, and data quality control measures
Staying updated on advancements in programming languages and data management tools to enhance operational efficiencies

What we offer

Various annual leave entitlements
A range of health insurance offerings to suit you and your family’s needs
Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead
Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family’s well-being
Life assurance
Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others

New

Senior Software Engineer, Clinical CMS

Location

United States , Burlington; Durham

Salary:

100000.00 - 170000.00 USD / Year

The Muse

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Life Sciences, Computer Science or Engineering with 5 or more years of recent professional software development experience
5 or more years building full-stack applications in Python and modern JavaScript frameworks
5 or more years of recent experience with front-end technologies (e.g., React, Angular, Vue.js, JavaScript/TypeScript, HTML/CSS)
5 or more years of recent experience with RESTful APIs and microservices architecture
5 or more years of recent experience with CI/CD pipelines and DevOps practices
5 or more years of recent experience with cloud platforms (AWS, Azure, or GCP)

Job Responsibility

Leverage scientific domain and technical knowledge to support genetic scientists with identifying relevant information and published knowledge
Establish, streamline, and automate knowledge-extraction pipelines for collecting, curating, and visualizing knowledge from scientific publications
Collaborate with data scientists, variant scientists, and software developers to design and implement biomedical solutions that meet stakeholder requirements
Monitor emerging technology trends in literature analysis and knowledge discovery
represent the team externally through conferences and publications

What we offer

Medical
Dental
Vision
Life
STD/LTD
401(k)
Paid Time Off (PTO) or Flexible Time Off (FTO)
Tuition Reimbursement
Employee Stock Purchase Plan
annual bonus under the Labcorp Bonus Plan

Fulltime

Data Engineer – Lead

Location

India , Bengaluru Urban

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Pipelines, Dataflows Gen2, Notebooks, and Power BI integration
Expertise in ETL/ELT, data pipelines, distributed data processing, and cloud-scale data engineering
Strong SQL, Python, PySpark, and data modeling skills
Experience with Lakehouse, Warehouse, and Medallion Architecture
Understanding of Delta tables, dimensional modeling, star schema, facts, dimensions, and curated analytical datasets
Experience integrating structured, semi-structured, file-based, API-based, enterprise application, and cloud data sources
Experience with data quality, reconciliation, logging, monitoring, and error-handling frameworks
Experience leading technical teams and coordinating onshore/offshore delivery
Experience with Git, CI/CD, Azure DevOps, branching, code reviews, and release management
Good to Have: Experience with Azure Data Factory, Synapse, Databricks, ADLS Gen2, Azure SQL, Microsoft Purview, or related Azure services

Job Responsibility

Lead the design and implementation of scalable data pipelines and data processing frameworks in Microsoft Fabric
Define data engineering standards, development practices, naming conventions, coding guidelines, and reusable technical patterns
Lead implementation of Bronze, Silver, and Gold layers in the Medallion Architecture
Oversee ingestion, transformation, orchestration, validation, and publication of data from multiple enterprise, clinical, operational, and cloud-based sources
Guide development of Fabric Pipelines, Dataflows Gen2, Notebooks, Lakehouse tables, Warehouse objects, and curated datasets
Ensure scalability, performance, reliability, maintainability, security, monitoring, and optimization of data solutions
Define standards for data quality, reconciliation, logging, error handling, auditability, and lineage
Conduct technical design reviews, code reviews, performance reviews, and deployment readiness reviews
Mentor and guide data engineering teams across onshore/offshore locations
Collaborate with architects, platform engineers, BI teams, QA teams, AI/ML teams, functional consultants, and stakeholders

Lead Analytics Engineer - Data Modeling & Quality

Arcadia is the only healthcare data and software company dedicated to healthcare...

Location

United States

Salary:

Not provided

The Muse

Expiration Date

Until further notice

Requirements

Advanced SQL: window functions, complex CTEs, aggregation patterns, performance tuning on columnar databases
DBT: hands-on experience authoring models, tests, macros, and yml documentation
familiarity with incremental strategies
Healthcare data literacy: working knowledge of claims data (professional, institutional, pharmacy), clinical data (EHR entities), and common quality dimensions (member months, coverage rates, null patterns)
Data quality mindset: ability to differentiate source data issues from transform issues, design systematic validation checks, and communicate data quality findings clearly
Clear communicator — able to translate technical findings for clients and non-technical stakeholders
Strong analytical judgment — you can look at a distribution and know when something is wrong
Ability to manage several projects simultaneously, leveraging AI tooling to stay organized and efficient
Genuine desire to learn and apply AI tools for operational efficiency

Job Responsibility

DATA MODELING & DBT DEVELOPMENT: Author, review, and maintain DBT models using Spark/Hudi from ingest through bronze and silver
Help clients understand their data model, assumptions, and limitations through intentional validation
Troubleshoot and fix issues, then write DBT tests to catch issues proactively
Optimize SQL performance for slow-running jobs
Partner with Data Engineering on Hudi table design, partition strategy, and incremental patterns
DATA QUALITY OWNERSHIP: Triage and classify data quality alerts, distinguishing source-level issues from transform-layer failures
Design and maintain volume monitors and DQ monitors (null rate, distribution, future-date checks)
Author and apply clinical DQ rules (entity volume, field coverage, LOINC coverage, referential integrity) and claims validation rules across silver and gold layers
Conduct quality reviews for connector promotions — evaluating silver entity coverage, validation rule pass rates, and bronze-to-silver transformation correctness
Own the ticket queue for DQ, attribution, hierarchy, and customer-specific data quality issues, writing clear customer-facing findings

What we offer

Pet Insurance
Health Insurance
Dental Insurance
Vision Insurance
FSA
HSA
HSA With Employer Contribution
Life Insurance
Short-Term Disability
Long-Term Disability

Sr. Data Engineer

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part...

Location

United States , Thousand Oaks

Salary:

138325.00 - 172744.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Clinical Informatics or related field and 2 years of experience in the job offered or in a Data Engineer – related occupation. The position requires 2 years of experience in the following: Manage and tune Hadoop, MapReduce, or Spark SQL
Build ETL pipelines to transfer data
Optimize database for usage
Manage data stewardship and governance
Configure cloud services to orchestrate, monitor, and run end-to-end data warehousing solutions
and Model data for translation, linking, and consumption from source to data warehouse.

Job Responsibility

Responsible for managing and optimizing the company's data infrastructure and architecture for Clinical Data Hub, including cloud-based distributed compute and storage
Design and implement data pipelines, develop data models, perform data integration, and ensure data quality and governance
Contributes to the effective storage, processing, and utilization of large-scale data sets
Work with Product Owner, Product Management, Agile Team, and Data Architects to plan and deliver prioritized Clinical Data Hub backlog items and optimize the technical environment
Ensure data requirements for applications, data scientists, and cross-functional use cases are met, and ensure high performance and reliability of the system
Provide insights and actionable solutions for business clients.

What we offer

stock
retirement
medical
life and disability insurance
eligibility for an annual bonus
health and welfare plans
financial plans
work/life balance
career development opportunities
Retirement and Savings Plan

Fulltime

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Clinical Data Engineer

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