Job Description

• Builds and maintains data pipelines and software algorithm to support analysis, reporting, and machine learning
• Maintain scalable data processing pipelines to handle large-scale datasets with the implementation of algorithms for data parsing and transformation.
• Optimize data storage, retrieval, and processing efficiency in cloud and on-premises environments.
• Write clean, maintainable, and well-documented code following best practices.
• Participate in code reviews and contribute to continuous improvement in development workflows.
• Debug and resolve complex data processing and software issues in a timely manner.

Qualifications

• Bachelor’s degree in computer science, software engineering, or a related field. Advanced degrees are a plus.
• Experiences with the analysis of time-series data from nanopore experiments and their calling algorithm development.
• Proficiency in programming languages such as Python, Java, R or C++.
• Experience with cloud-based data processing solutions (e.g., AWS, Azure, Google Cloud) and distributed computing frameworks (e.g., Hadoop, Spark).
• Experience with version control systems (e.g., Git) and agile development methodologies.
• Strong problem-solving skills and the ability to work both independently and within a team.

Additional Information

At Lunar Biosciences, you’ll be part of a mission-driven team working on the next wave of advancements in proteomics and precision medicine. We offer a dynamic and innovative startup environment where you’ll have the opportunity to impact human health and well-being while working alongside passionate, dedicated professionals.

How to Apply :

If you’re excited about joining a team that’s driving revolutionary change in proteomics and precision medicine, we’d love to hear from you. Apply today!

An equal-opportunity employer, Lunar Biosciences welcomes and encourages diversity in our workforce.

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