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Software Data Engineer

JOB SUMMARY 

In this role, you’ll play a pivotal part in building and optimizing data pipelines that transform large, multi-modal datasets into high-quality training inputs for cutting-edge AI models for drug discovery. You’ll help evolve our data pipeline and storage infrastructure to support faster, more reliable turnarounds for research and development of new models. 

You’ll join a multidisciplinary team, collaborating closely with ML scientists, software developers and DevOps engineers to improve the performance and reliability of Python-based workflows. As a key contributor, you’ll participate in the design, testing, and maintenance of core software systems, conduct thoughtful code reviews, and champion engineering best practices—including version control, testing, and documentation. 

This role is remote, with preference for candidates on the East Coast or UK. 

 

KEY RESPONSIBILITIES 

  • Design and improve data pipelines that process large, multi-modal datasets from a variety of internal and external sources into training datasets for AI models. 

  • Evolve our data storage layer to support analytics, schema evolution, reproducibility, and efficient data access. 

  • Collaborate with ML engineers to improve the performance and reliability of Python-based data processing workflows. 

  • Collaborate on the creation, testing and maintenance of software systems 

  • Code review for pull requests in adjoining areas 

  • Maintenance of and mentorship in software best practices, including version control, testing and documentation 

  • Clear oral communication of work in meetings and company demos, at a level suited to the audience 

 

QUALIFICATIONS 

  • Minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent experience. 

  • Proven ability to design flexible, maintainable ETL systems. 

  • Experience with data pipeline orchestration tools such as Prefect, Airflow, Argo, Databricks, or Spark. 

  • Understanding of the ML model lifecycle; prior work with scientific or ML workflows is a plus. 

  • Hands-on experience with multi-terabyte scale data processing. 

  • Familiarity with AWS; Kubernetes experience is a bonus. 

  • Knowledge of data lake technologies such as Parquet, Iceberg, AWS Glue etc. 

  • Strong Python software engineering skills. 

  • Pragmatic mindset — able to evaluate tradeoffs find solutions that empower ML researchers to move quickly. 

  • Background in bioinformatics or chemistry is a plus. 

ABOUT IAMBIC THERAPEUTICS

Founded in 2019 and headquartered in San Diego, California, Iambic Therapeutics is disrupting the therapeutics landscape with its unique AI-driven drug-discovery platform. Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters with strong track records of success in delivering clinically validated therapeutics. The Iambic platform has been demonstrated to deliver high-quality, differentiated therapeutics to clinical stage with unprecedented speed and across multiple target classes and mechanisms of action. The Iambic team is advancing an internal pipeline of clinical assets to address urgent unmet patient needs. Learn more about the Iambic team, platform, and pipeline at iambic.ai.

MISSION & CORE VALUES

The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies. 

PAY AND BENEFITS

We offer a competitive compensation package, pension contributions, and flexible holiday allowances to our team. Our UK office provides a modern and collaborative work environment, right in the centre of Bristol.

Average salary estimate

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Software Data Engineer, Iambic Therapeutics, Inc

As a Software Data Engineer at Iambic Therapeutics, you will be at the forefront of revolutionizing drug discovery through innovative AI technologies. Based in the vibrant city of Bristol, you'll play a key role in building and optimizing data pipelines that convert complex, multi-modal datasets into high-quality training inputs for our state-of-the-art AI models. Working closely with a dynamic team of ML scientists, software developers, and DevOps engineers, you'll not only help evolve our data storage infrastructure to ensure speedy and reliable results but also elevate the performance of Python-based workflows. Your responsibilities will include designing and implementing flexible ETL systems, maintaining best practices in software development, and conducting thoughtful code reviews. We value oral communication, so your ability to present your work clearly will be essential in meetings and company demos. Ideally, we seek candidates with a strong background in data processing, particularly with experience in tools like Prefect, Airflow, or Spark. At Iambic, we believe that diversity fuels innovation, and our inclusive culture fosters unmatched collaboration. If you have a pragmatic mindset coupled with solid Python programming skills and a passion for improving research efficiency, we want to hear from you! Join us in making a significant impact on patient care with disruptive therapeutics. Make a difference with Iambic Therapeutics!

Frequently Asked Questions (FAQs) for Software Data Engineer Role at Iambic Therapeutics, Inc
What are the responsibilities of a Software Data Engineer at Iambic Therapeutics?

As a Software Data Engineer at Iambic Therapeutics, your main responsibilities will include designing and optimizing data pipelines that handle large multi-modal datasets, collaborating with ML engineers to enhance the performance of Python-based workflows, and participating in the maintenance of core software systems. You'll also be tasked with conducting code reviews to ensure best practices are followed and communicating your work effectively in team meetings.

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What qualifications do I need to apply for the Software Data Engineer position at Iambic Therapeutics?

To be considered for the Software Data Engineer role at Iambic Therapeutics, you should have a minimum of 8 years of related experience along with a Bachelor's degree, or 6 years with a Master's degree, or 3 years with a PhD. Proven experience designing ETL systems and familiarity with data pipeline orchestration tools such as Prefect or Airflow are essential. Strong Python skills and knowledge of data lake technologies are also required.

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What technologies are essential for a Software Data Engineer at Iambic Therapeutics?

Key technologies for the Software Data Engineer role at Iambic Therapeutics include experience with data pipeline orchestration tools like Prefect, Airflow, or Databricks, as well as familiarity with AWS and Kubernetes. Knowledge of data lake technologies, specifically Parquet or AWS Glue, will be advantageous in this position.

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Is remote work possible for the Software Data Engineer role at Iambic Therapeutics?

Yes, the Software Data Engineer position at Iambic Therapeutics is remote-friendly, with a preference for candidates located on the East Coast of the USA or in the UK. This flexibility allows you to work from wherever you feel most productive while collaborating with a talented team.

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How does the Software Data Engineer contribute to AI model development at Iambic Therapeutics?

As a Software Data Engineer, you will significantly contribute to AI model development at Iambic Therapeutics by designing and optimizing data pipelines that create high-quality training datasets. Your expertise in data processing will ensure that the ML engineers have the reliable data they need to develop and improve our AI models, facilitating faster breakthroughs in drug discovery.

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Common Interview Questions for Software Data Engineer
Can you explain your experience with ETL systems as a Software Data Engineer?

In this role, discuss your specific experiences designing and maintaining ETL systems, focusing on the complexities you encountered and how you addressed them. Highlight the tools you've used and their impact on your previous projects.

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How do you ensure the reliability of your data pipelines?

Talk about the practices you implement to ensure data pipeline reliability, such as monitoring, alerting, and implementing automated tests. Describe a time when these practices helped you troubleshoot an issue successfully.

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What tools do you use for data orchestration and why?

Share your experience with tools like Prefect, Airflow, or Spark—why you prefer them, and how they have benefited your work in terms of efficiency and scalability in data processing.

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Describe a challenge you've faced in multi-terabyte scale data processing.

Provide a specific example where you encountered challenges processing large datasets, discussing the strategies you implemented to overcome these challenges, focusing on performance and resource management.

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How important is documentation in your workflow?

Emphasize your belief in clear documentation practices. Explain how thorough documentation has allowed your teams to work more efficiently and how it aids in onboarding new members.

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Discuss your approach to code reviews.

Discuss how you approach code reviews as a learning opportunity for the team. Highlight what you look for in a review and how feedback can lead to improved practices and solutions.

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How do you keep your Python skills up to date?

Talk about your methods for staying current on Python developments, such as participating in online courses, attending webinars, or contributing to open-source projects. Share recent things you've learned and how they've impacted your work.

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What is your experience with cloud technologies, particularly AWS?

Discuss your familiarity with AWS services, explaining how you've leveraged them in previous projects to enhance the scalability and efficiency of data processing workflows.

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How do you handle schema evolution in your datasets?

Explain the strategies you've employed to manage schema changes in your datasets, focusing on maintaining data integrity and supporting the accessibility of historical data in your workflows.

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Why do you want to work at Iambic Therapeutics as a Software Data Engineer?

Express your enthusiasm for Iambic Therapeutics' mission to disrupt the therapeutic landscape through AI. Share how your skills align with their vision and how you look forward to contributing to a team that emphasizes innovation and diversity.

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Growth & Learning
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Collaboration over Competition
Take Risks
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Equity
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Fully Distributed
Flex-Friendly
Some Meals Provided
Snacks
Social Gatherings
Pet Friendly
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Life insurance
Health Savings Account (HSA)
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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
April 12, 2025

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