Senior Research Data Engineer
Remote - US, United States
Full Time Senior-level / Expert USD 123K - 160K
iRhythm
Discover the iRhythm monitoring service, featuring Zio® ECG monitors. Our monitoring solutions capture heartbeat data to help doctors detect cardiac arrhythmias.Career-defining. Life-changing.
At iRhythm, you’ll have the opportunity to grow your skills and your career while impacting the lives of people around the world. iRhythm is shaping a future where everyone, everywhere can access the best possible cardiac health solutions. Every day, we collaborate, create, and constantly reimagine what’s possible. We think big and move fast, driven by our commitment to put patients first and improve lives. We need builders like you. Curious and innovative problem solvers looking for the chance to meaningfully shape the future of cardiac health, our company, and your career
About This Role:
We are a pioneering digital healthcare company revolutionizing the way cardiac arrhythmias are diagnosed. Our innovative approach combines wearable biosensing technology with robust cloud-based data analytics and machine-learning capabilities. Our mission is to become the premier provider of ambulatory ECG monitoring for patients at risk for arrhythmias. Our continuous monitoring has already provided over 5 million patients and their doctors with quicker access to vital information.
As a Senior Research Data Engineer, you will be instrumental in developing and implementing data pipelines, infrastructure, and analysis to support clinical research studies and related analysis. This role is a unique blend of statistical expertise and data engineering skills, offering an exciting opportunity for those who thrive at the intersection of statistics and data technology. The successful candidate will play a pivotal role in ensuring the accuracy, efficiency, and integrity of study data for analysis and reporting.
What You Will Be Doing
- Develop and maintain data pipelines and databases for data collection, integration, and analysis from various sources.
- Construct and manage AWS data infrastructure to support research pipelines and outputs (ETL, containerization, workflow automation, and scheduling).
- Collaborate with biostatisticians, data managers, and other team members to ensure data quality, consistency, and accuracy in study databases.
- Implement data checks, data listings, and summary tables to support ongoing data review and quality control.
- Develop and support self-service data platforms for in-house research data.
- Create and manage data platforms enabling external partner access to our research data, considering security, anonymization, and data protection.
- Collaborate with scientific teams to assess feasibility, complexity, and costs of research data requests.
- Contribute to the development of statistical analysis plans (SAPs) and provide input on study design and data analysis strategies.
- Conduct preliminary data analyses to assist the scientific team.
- Serve as a subject matter expert in iRhythm’s data.
- Coordinate with our production data teams to align design decisions with our production systems.
- Maintain a clean and well-documented code base and audit trail (git, Bitbucket, Confluence, JIRA).
What We Need to See
- At least 5 years of experience designing apps and algorithms using Python.
- At least 3 years of hands-on experience building infrastructure with AWS.
- Experience with large-scale ETL tools such as Spark and Glue.
- Proficiency in SQL, database, and table design.
- Familiarity with data management principles and electronic data capture (EDC) systems.
- Strong understanding of statistical methodologies and data analysis techniques.
- Knowledge of regulatory requirements and guidelines (e.g., FDA, ICH, GCP) related to clinical research data.
- Proficiency in Linux/Unix/Windows environments.
- BA/BS in a science or technical field.
- Strong analytical and problem-solving skills, with a keen eye for detail.
- Excellent teamwork and collaboration skills.
- Excellent communication skills, both written and verbal.
- Ability to manage multiple tasks and prioritize work to meet project deadlines.
Ways to Stand Out
- MS/PhD in a science or technical field, including scientific research experience.
- Proficiency in statistical programming languages such as SAS and R.
- Experience with Docker, PySpark, Snowflake, Tableau, and/or Splunk.
- Proficiency in Linux/Unix/Windows environments.
Location:
Remote - USActual compensation may vary depending on job-related factors including knowledge, skills, experience, and work location.
Estimated Pay Range
$123,000.00 - $160,000.00As a part of our core values, we ensure an inclusive workforce. We welcome and celebrate people of all backgrounds, experiences, skills, and perspectives. iRhythm Technologies, Inc. is an Equal Opportunity Employer. We will consider for employment all qualified applicants with arrest and conviction records in accordance with all applicable laws.
iRhythm provides reasonable accommodations for qualified individuals with disabilities in job application procedures, including those who may have any difficulty using our online system. If you need such an accommodation, you may contact us at taops@irhythmtech.com
About iRhythm Technologies
iRhythm is a leading digital healthcare company that creates trusted solutions that detect, predict, and prevent disease. Combining wearable biosensors and cloud-based data analytics with powerful proprietary algorithms, iRhythm distills data from millions of heartbeats into clinically actionable information. Through a relentless focus on patient care, iRhythm’s vision is to deliver better data, better insights, and better health for all.
Make iRhythm your path forward. Zio, the heart monitor that changed the game.
Tags: AWS Bitbucket Confluence Data analysis Data Analytics Data management Data pipelines Data quality Docker Engineering ETL GCP Git Jira Linux PhD Pipelines PySpark Python R Research SAS Security Snowflake Spark Splunk SQL Statistics Tableau
Perks/benefits: Career development
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