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Job Details
| Job Location |
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Corporate Headquarters - Plymouth Meeting, PA |
| Remote Type |
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Fully Remote |
| Position Type |
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Full Time |
| Education Level |
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Bachelor's Degree Required |
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| Travel Percentage |
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0% |
| Job Shift |
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Day |
| Job Category |
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Information Technology |
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Description
WHY CHOOSE ECRI? ECRI is an inspiring place to work. We share a common mission to help healthcare organizations make smart, compassionate, and ethical decisions for patients. Consider these additional benefits of joining the ECRI team:
Industry leadership: We have a long history and proven reputation in patient safety and medical technology research.
On-the-job-learning: You will have the opportunity to work with specialists across medical science, patient care, healthcare management, and technology.
Comprehensive healthcare benefits: We offer medical, dental, vision, life insurance, accidental death and dismemberment, and disability coverage.
Retirement Savings: Our employees can participate in an employer-matching 403(b) Retirement Savings Plan.
Additional benefits: ECRI offers additional benefits to our employees, including paid time off and holiday pay, paid leave for parents, tuition assistance, employee assistance program, access to LinkedIn Learning, and other voluntary benefit programs (e.g. accident insurance, identify theft insurance, flexible spending accounts).
Volunteer Program: ECRI Cares, our employee volunteer program, provides a framework for us to work together and make a difference in the lives of others. All employees are provided 16 hours annually of paid time to volunteer at preapproved ECRI Cares charities during normal business hours.
ABOUT ECRI At ECRI, our passion for safe, effective, and efficient care is ingrained into the fabric of who we are and why we are here. For more than 50 years, the people of ECRI have been unyielding in their work to protect patients from unsafe and ineffective medical technologies and practices. Now, with the acquisition of the Institute for Safe Medication Practices (ISMP), we have created one of the largest healthcare quality and safety entities in the world. As a non-profit, independent organization, we utilize an unbiased, evidence-based approach to develop guidance, and maintain our principles of integrity and transparent work. Our ethical standards have led us to adopt the industry's strictest conflict-of-interest policies, and they are why tens of thousands of healthcare leaders worldwide rely on ECRI to guide their clinical, operational, and strategic decisions across all sites of care. The Most Trusted Voice in Healthcare ECRI is proud to serve the healthcare industry, from providers and insurers to government agencies, and medical associations. Our areas of focus include:
Patient Safety: empowering leaders to eliminate patient harm through the dissemination of best practices, guidance, benchmarking, and recommendations.
Evidence-Based Medicine: providing clinical evidence to inform and support decisions on the effectiveness of medical technologies, procedures, genetic tests, and clinical practice guidelines.
Technology Decision Support: arming hospital systems with unbiased insights, so they can optimize their supply chain.
ECRI is the only organization worldwide to conduct independent medical device evaluations, with labs located in North America and Asia Pacific. ECRI is designated an Evidence-based Practice Center by the U.S. Agency for Healthcare Research and Quality and a federally certified Patient Safety Organization by the U.S. Department of Health and Human Services. At ECRI, our passion for the truth drives us to go further and dig deeper in our pursuit to advance effective, evidence-based healthcare globally. The success of our organization relies on the kind of creative thinking that can only result from a diverse team of individuals. ECRI is proud to be an employer of choice with an inclusive environment for all employees. As part of this goal and in compliance with various laws and regulations, ECRI provides reasonable accommodation to applicants and employees. It's what makes ECRI unique, and why we are the most trusted voice in healthcare. POSITION SUMMARY
As a Data Science Engineer, you will be responsible for developing and automating end-to-end machine learning pipelines, from data ingestion to feature selection, model training, scoring, and retraining. You will work in a containerized environment using Docker and leverage GCP's cloud services for data processing and model deployment. Your role will be a blend of cloud data engineering (~60%) and data science/machine learning engineering (~40%).
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ESSENTIAL FUNCTIONS Reasonable Accommodation Statement:
To accomplish this job successfully, an individual must be able to perform, with or without reasonable accommodation, each essential function satisfactorily. Reasonable accommodations may be made to help enable qualified individuals with disabilities to perform the essential functions.
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Essential Functions:
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Data Engineering:
- Data Pipeline Development: Design, build, and maintain highly scalable ETL/ELT pipelines using Python, SQL, and Google Cloud Platform (GCP) services (e.g., BigQuery, GCF, Cloud Run, Pub/Sub, GCR, GKE, Cloud Monitoring, GCS).
- Data Architecture: Develop and implement best practices for data architecture, including designing schema models, managing data storage, and optimizing data flow within cloud environments.
- Automation: Leverage Airflow to orchestrate and automate data workflows, ensuring efficient and reliable data processing.
- Data Quality: Ensure data quality, consistency, and reliability for downstream machine learning tasks.
- Collaborate with data teams to optimize data architecture and storage solutions, enabling efficient data access for both ad-hoc analysis and ML models.
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Data Science & Machine Learning:
- Develop and deploy machine learning models in a containerized environment (Docker) for both batch and real-time scoring.
- Automate feature selection, feature engineering, and model training using frameworks like Scikit-learn, PyTorch, XGBoost, and other ML frameworks.
- Implement model evaluation, tracking accuracy metrics, and retraining workflows using tools such as MLflow. o Build CI/C
- Build CI/CD pipelines for model deployment and monitoring to ensure models remain performant over time.
- Automate model retraining processes based on predefined performance degradation or data drift.
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Cross-Functional Collaboration:
- Work closely with data scientists, software engineers, and cloud architects to integrate machine learning models into production environments.
- Optimize GCP infrastructure for cost-efficiency and performance, leveraging tools like Kubernetes Engine for model orchestration.
- Contribute to ongoing improvements in cloud infrastructure automation, including IaC (Terraform) for GCP resource management.
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Additional Responsibilities:
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Other duties, as assigned.
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Accountability Metrics:
Qualifications
POSITION QUALIFICATIONS Experience:
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3+ years of experience in data engineering or cloud data architecture.
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2+ years of experience in machine learning, specifically in building and automating model pipelines.
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Familiarity with model evaluation, accuracy tracking, and automated retraining processes.
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Strong experience with Google Cloud Platform (GCP) services, including BigQuery, GCF, Cloud Run, Pub/Sub, GCR, GKE, Cloud Monitoring, GCS or equivalent experience in AWS or Azure.
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Proficiency in containerization (Docker) and deploying machine learning models in Kubernetes or other orchestration platforms.
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Expertise in Python programming, especially with ML and data engineering libraries (e.g., Scikit-learn, PyTorch, TensorFlow, PySpark).
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Hands-on experience in SQL and ETL/ELT pipeline development.
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Experience in CI/CD tools and version control (Git, GitLab, Jenkins) for automated model deployment.
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Hands on exposure to IaC (Infrastructure as Code) frameworks like Terraform
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Strong problem-solving skills and the ability to work in a fast-paced, agile environment.
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Excellent communication and teamwork skills, with the ability to collaborate across multiple teams.
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Experience working in the healthcare or health-tech industry preferred.
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Background in time series forecasting, classification, or regression models preferred.
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Familiarity with MLOps practices for managing and automating the lifecycle of data and ML models preferred.
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Education:
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Bachelor's Degree required, with a technical or STEM discipline preferred. Graduate degree or higher with a technical or STEM discipline preferred.
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Computer Skills:
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Proficient with Microsoft Office 365 Suite of products (e.g., Word, Excel, and PowerPoint).
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Certifications and Licenses:
POSITION COMPENSATION The salary range for new employees in this position is $90,902.52 - $103,354.06, based on background, experience, and skills. In addition, new employees in this position are eligible for all of our benefit offerings, including, but not limited to, health and welfare benefits, 403(B) retirement savings, and paid time off (PTO). PHYSICAL DEMANDS
This position operates in a remote environment and requires the individual to remain in a stationary position, whether sitting or standing, before a desk or other fixed workspace, most of their workday. In addition, this position requires the individual to occasionally move about their workspace to access and inspect work-related materials, such as file cabinets with physical files and standard office equipment. This position requires the ability to operate standard office equipment, including, but not limited to, a laptop, keyboard, mouse, webcam, and phone, as well as effectively communicate information and ideas to a wide variety of audiences in written and oral form.
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ADA STATEMENT ECRI is committed to providing equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or veteran status. We value diversity and believe that a diverse workforce enhances our ability to succeed. ECRI complies with applicable federal, state, and local laws governing nondiscrimination in employment and prohibits any form of discrimination or harassment based on these protected characteristics. EEO STATEMENT ECRI is committed to providing equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or veteran status. We value diversity and believe that a diverse workforce enhances our ability to succeed. ECRI complies with applicable federal, state, and local laws governing nondiscrimination in employment and prohibits any form of discrimination or harassment based on these protected characteristics. #LI-Remote |
ECRI Institute
life insurance, paid time off, tuition assistance, 403(b)
May 20, 2025