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Data Engineer

Ground Truth Labs

GTL is a startup (Oxford University spinout) developing deep learning algorithms for image analysis to revolutionise precision medicine. GTL received a sizable seed stage investment from leading early stage investors in 2023. We grew from scratch to a team of 15 people, delivering commercial projects to some of the largest pharma and biotech companies in the world in less than a year. We are looking to continue our trajectory and develop novel algorithms and technologies to help positively impact patient lives. 

We deliver on the basis of our exceptional, interdisciplinary team. As an early team member, you'll have the unique opportunity to help shape our journey and build on our principles of collaboration, focus, and invention.

This is the new era of AI - we are on a mission to improve our understanding of biology and drive better patient outcomes through enhanced tissue analysis.

Your impact

We are looking for a Data Engineer to play a critical role in the development of new AI biomarkers for oncology.

This is a highly creative, fast-paced environment. Our teams are interdisciplinary, you will work alongside software, machine learning, and clinical science teams to build a rich interactive platform for the development and delivery of new AI tools.

We are an early stage company, you will have the opportunity to drive the strategic direction, lead on new projects and make an impact across the organisation. The successful candidate will be able to identify, build, and champion novel internal and externally facing tools across the company.

What you’ll do

  • Lead on data engineering from ingesting, through validation to persistence and maintenance

  • Define data requirements and validation procedures

  • Process data from various sources into a combined, curated database

  • Interrogate data for sensitive information

  • Build out automated pipelines to reduce and compliment human-in-the-loop requirements. 

  • Collaborate closely with machine learning scientists, software engineers and clinicians to deliver on new projects

  • Stay abreast of industry trends and standards  in healthcare data

What you bring

Essential

  • Proficient with Python, SQL, CSV, Excel

  • Experience working with Cloud Platforms, databases and APIs

  • Solid understanding of appropriate data formats and file types in data processing

  • Experience working both independently and as a part of a team environment

  • Experience using git or other version control software

  • Experience collecting requirements, writing proposals and managing projects

Nice to have

  • Degree in Computer Science, Engineering, or equivalent experience in science or engineering

  • Experience with GCP

  • Experience writing tests for data processing

  • Experience with healthcare or sensitive data

  • Experience working within a regulated environment 

  • Familiarity with modern machine learning and AI methods

Opportunity

Working environment

We primarily work remotely with a strong emphasis on efficient processes to ensure high-quality work across asynchronous teams. However, we recognise the importance of sharing knowledge and building relationships with one another and find this easier to do when we spend time together in-person in Oxford or London. Therefore, we host regular team days from these locations.

Exceptional candidates who are willing to regularly (~1/mo) travel to the UK for in-person meetings will be considered. This generally restricts us to candidates based within ~3 hour travel time to London. 

As a team, we value:

  1. Concise and engaging communication - we communicate clearly to work effectively in a remote setting.

  2. Pride in high-quality work - we pay attention to detail and deliver to the highest standard.

  3. A strategic approach - we think critically and creatively about complex issues. We identify the underlying patterns and leverage them to develop effective strategies

  4. Collaborative co-creation - we are open to diverse perspectives, bounce ideas off of each other, and build upon each other's strengths.

Equality

We welcome all applications. We are committed to providing equal employment opportunities regardless of age; disability; gender; civil status; pregnancy or parental status; race; religion or belief; sex; sexual orientation or any other basis as protected by applicable laws.

Impact

This is an excellent opportunity to join a rapidly growing start-up and make a real impact in the field of medical imaging and AI. If you are passionate about design, engineering, and AI and have a proven track record to match, we would love to hear from you.




No agencies please. 

Please note that when you submit an application, your data will be processed in line with our privacy policy.

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What You Should Know About Data Engineer, Ground Truth Labs

At GROUND TRUTH LABS, we are on the cutting edge of AI and deep learning, and we are looking for a talented Data Engineer to join our dynamic team in Oxford/London. As a startup spinning out from the esteemed Oxford University, we are developing groundbreaking algorithms that revolutionize precision medicine through enhanced image analysis. With our recent seed investment in 2023 and our rapidly growing team of 15, you will have a pivotal role in shaping our journey and making a real impact on patient lives. In this creative and fast-paced environment, you will collaborate with machine learning scientists, software engineers, and clinical teams to build a rich interactive platform that leads the charge in developing innovative AI biomarkers for oncology. Your responsibilities will include data ingestion, validation, and maintenance while defining data requirements and creating automated pipelines to simplify our processes. You’ll also stay updated on the latest healthcare data trends to ensure our methodologies remain state-of-the-art. If you’re passionate about harnessing data to drive impactful health solutions and thrive in a collaborative, high-quality work culture, we would love to have you onboard with GROUND TRUTH LABS.

Frequently Asked Questions (FAQs) for Data Engineer Role at Ground Truth Labs
What does a Data Engineer do at GROUND TRUTH LABS?

At GROUND TRUTH LABS, a Data Engineer plays a vital role in developing new AI biomarkers for oncology. This position involves data ingestion, validation, and curation to create a robust database while collaborating closely with interdisciplinary teams, including machine learning scientists and software engineers.

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What skills are required for the Data Engineer position at GROUND TRUTH LABS?

The Data Engineer role at GROUND TRUTH LABS requires proficiency in Python and SQL, experience with cloud platforms, and the ability to process and validate data from various sources. Familiarity with healthcare data and a strategic mindset are highly beneficial.

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What is the work environment like for the Data Engineer at GROUND TRUTH LABS?

GROUND TRUTH LABS primarily operates remotely, emphasizing efficient processes and high-quality work. The team values clear communication and collaboration, hosting regular in-person team days in Oxford or London to foster relationships and knowledge sharing.

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Can candidates apply for the Data Engineer role if they have a remote working preference?

Yes, as GROUND TRUTH LABS values remote work, candidates can apply for the Data Engineer role even if they prefer to work remotely. However, periodic travel (~1 time per month) to the UK for in-person meetings is expected.

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What impact can a Data Engineer make at GROUND TRUTH LABS?

As a Data Engineer at GROUND TRUTH LABS, you will have a significant impact by driving the strategic direction of data-related projects and helping to develop cutting-edge AI tools that positively affect patient outcomes in oncology through improved imaging analysis.

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Are there career growth opportunities for a Data Engineer at GROUND TRUTH LABS?

Definitely! GROUND TRUTH LABS is a rapidly growing startup where a Data Engineer can take the initiative in new projects, influence strategic decisions, and gain exposure to various cutting-edge technologies, providing excellent career growth opportunities.

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What types of projects will a Data Engineer work on at GROUND TRUTH LABS?

As a Data Engineer at GROUND TRUTH LABS, you'll work on innovative projects centered around data management, from ingesting and validating data to building automated pipelines, all in support of developing new AI biomarkers in collaboration with various teams.

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Common Interview Questions for Data Engineer
How do you approach data ingestion in previous projects?

In my past projects, I prioritized understanding the data source specifications and designed a clear ingestion pipeline that ensured data integrity and validation on ingestion, adapting the methods as needed based on data types and formats.

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Can you explain your experience with cloud platforms?

I've worked extensively with cloud platforms like GCP, utilizing services for data storage, processing, and analytics, ensuring efficient data access and scalability for machine learning applications.

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Describe a time when you had to validate data and the process you followed.

I once handled a project where I validated incoming clinical data by creating strict validation rules and cross-referencing data sets to identify discrepancies, ensuring the highest quality for subsequent analyses.

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What strategies do you use for data processing?

I lean heavily on automated data pipelines, leveraging tools like Apache Airflow to orchestrate tasks and maintain data workflows that are both efficient and reliable, enhancing the overall data processing speed.

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How do you ensure collaboration when working in interdisciplinary teams?

Effective communication is key. I make sure all stakeholders understand project goals and data needs through regular touchpoints and updates, fostering a collaborative environment for problem-solving.

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What is your experience with version control systems?

I have consistently used Git for version control, ensuring that all code modifications are meticulously documented and collaborated on effectively, which has streamlined our development process.

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How do you manage project deadlines as a Data Engineer?

I break down projects into manageable tasks, prioritize them based on delivery timelines, and regularly communicate progress updates with the team to ensure we meet our project milestones efficiently.

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Can you provide an example of working with sensitive data?

Yes, I’ve worked with sensitive healthcare data, ensuring compliance with regulations by implementing necessary encryption and access controls and conducting regular audits to maintain data integrity.

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What are some trends in data engineering that you find important?

I believe the rise of real-time data processing and automated machine learning pipelines is reshaping data engineering, allowing organizations to make data-driven decisions faster and more accurately.

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How do you stay updated with the latest developments in data engineering?

I regularly attend workshops, webinars, and industry conferences, while also engaging in online courses and following relevant publications and forums to enhance my knowledge and skills in this ever-evolving field.

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Full-time, remote
DATE POSTED
November 28, 2024

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