Senior Data Engineer (Remote)

This is a remote position for those based in Ireland or on the East Coast of the US. We have an office in Cardiff (UK), lab operations in New York and Salt Lake City (US) and a tech-focused hub in Kilkenny (Ireland).

If you prefer working remotely, are passionate about data, and would like to be one of the first technical hires in a publicly listed company providing AI solutions to drive improvements in kidney health for millions of patients worldwide, then keep reading!

We are looking for a Senior Data Engineer to design, build, and maintain our data infrastructure and warehouse. As a Senior Data Engineer, you will be responsible for integrating multiple data sources, including Electronic Health Record (EHR) information, into our data pipeline facilitating both real-time and project-based data analysis and reporting.

RenalytixAI was established in 2018 with the vision of providing advanced technology solutions to drive improvements in kidney health for millions of patients worldwide. KidneyIntelX, our first-in-class diagnostic platform, employs a proprietary artificial intelligence-enabled algorithm that combines diverse data inputs, including validated blood-based biomarkers, inherited genetics, and extensive personalized patient data from electronic health record, or EHR, systems, to generate a unique patient risk score.

This patient risk score enables the prediction of adverse kidney outcomes in chronic kidney disease, or CKD, allowing physicians and healthcare systems to optimize the allocation of treatments and clinical resources to patients at the highest risk.

As a Senior Data Engineer at RenalytixAI, you will:

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets meeting business requirements.
• Identify, design, and implement internal process improvements: automating manual
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using cloud-based tools.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing products.
• Work with data and content experts to strive for greater functionality in our data systems.

Requirements

• Experience with object-oriented/object function scripting languages: Python, Java, etc.
• Experience with cloud services especially Azure.
• Experience with big data tools: Spark, Kafka, Hadoop, etc.
• Experience with relational SQL and NoSQL databases, including MySQL, Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Availability for occasional short-term travel (at a later time).
• Fluent English and outstanding communication skills.
• Previous experience in developing software products incorporating complex data pipelines a plus. The ideal candidate will have…
• Background in medical informatics.
• Experience with large healthcare systems and associated data structures.
• Experience with common data models (FHIR etc.).
• The ability to clearly communicate about complex data structures.
• An appreciation of automating everything where practical.
• Be comfortable working in a fully remote company.
• Experience with Agile Methodologies.

As one of the first hires into the data team, there will be a lot of scope to grow with the company as we embark on a rapid growth trajectory over the next 18 months. As our clients include some of the largest health systems in the United States, you will be working closely with experts across the industry. You will also become an integral part of our implementation team as we roll out to future clients, growing our portfolio of data-driven products and health technology solutions.

Benefits

• Work remotely; we have a genuine dedication to work/life balance.
• Work flexibly; we appreciate there are more important things in life than work so our flexible working culture allows you to work around what matters - school run, no problem!
• Semi-monthly payroll
• Medical benefits available effective date of hire. Our benefits program offers a range of healthcare plans to choose from.
• 401(k) retirement plan available with up to 5% company match

About RenalytixAI
RenalytixAI is an artificial intelligence-enabled in vitro diagnostics company, focused on optimizing clinical management of kidney disease to drive improved patient outcomes and lower healthcare costs. Our goal is to lower healthcare costs and improve patient quality of life by transforming the paradigm for kidney disease risk assessment and clinical management through our KidneyIntelX platform.
KidneyIntelX, our first-in-class diagnostics platform, employs a proprietary artificial intelligence-enabled algorithm to combine diverse data inputs, including validated blood-based biomarkers, inherited genetics and personalized patient data from electronic health record, or EHR, systems, to generate a unique patient risk score.
This patient risk score enables prediction of progressive kidney function decline in chronic kidney disease, or CKD, allowing physicians and healthcare systems to optimize the allocation of treatments and clinical resources to patients at highest risk. We plan are deploying KidneyIntelX to patient populations with DKD on a regional basis through partnerships with healthcare systems and insurance payors that provide coverage to those healthcare systems’ patients.
CKD affects approximately 37 million individuals in the United States, significantly impacting their quality of life and resulting in Medicare spending of at least $114 billion per year. In response to this substantial kidney disease burden, a U.S. Presidential Executive Order on Advancing American Kidney Health was issued in July 2019 to support comprehensive change in kidney disease care.
KidneyIntelX is a powerful prognostic tool that can help slow the progression of kidney disease and potentially prevent the occurrence of progressive kidney function decline such as kidney failure and the need for long-term dialysis or kidney transplant. We are continuing to publish a body of evidence through clinical validation studies and patient data generation to demonstrate that accurate and early identification of high-risk patients, coupled with guidelines-driven clinical recommendation designed to maximize patient treatment and compliance, can have a measurable positive impact on patient quality of life.
Our executive team has an average of 25 years’ experience in different professional disciplines including bioinformatics, digital health, data security, market access, commercial operations, medical affairs, insurance reimbursement, FDA regulation and ISO quality management systems, population health, clinical medicine and health economics. We believe the integration of such diverse experience is essential to understanding the complex dynamics of deploying a new technology into the highly regulated world of patient clinical care, and we have assembled our team specifically with this multidisciplinary approach in mind.
The company is listed on the London Stock Exchange (LSE.RENX) and the Nasdaq, we have laboratory operations in New York City and Salt Lake City with offices in Cardiff UK and Kilkenny Ireland.