Bioinformatics Engineer

Basepair is a software company at the forefront of innovation in genomics, developing an enterprise SaaS for the analysis and visualization of genomic data. As genomics moves into the mainstream, data analysis and interpretation are the most significant bottlenecks. Our mission is to empower scientists, physicians, and individuals to extract actionable insights from genomic data, accelerating research, diagnostics, drug discovery, and personal health decisions.

We leverage the power of cloud computing and our expertise in genomics to provide customers with an easy-to-use data analysis and interpretation platform, allowing them to achieve extraordinary breakthroughs—whether it’s finding cures for cancer, doubling the success rate of IVF treatments, or detecting life-threatening infections in hospitals. We work with some of the world’s most respected institutions, including Harvard Medical School and Stanford University, as well as leading bio-pharma and diagnostics companies. Backed by top venture capitalists and angel investors, we are uniquely positioned to influence the next big breakthroughs in life sciences.

Headquartered in the US, Basepair is powered by a dynamic and diverse global team, with talent spanning across the Americas, Europe, and Asia, working together to revolutionize the future of healthcare and genomics.

The Role

We are seeking a highly motivated and skilled Bio-informatics Engineer to bridge the gap between our bio-informatics and software development teams. In this critical role, you will be responsible for translating complex bio-informatics requirements into robust, scalable, and cloud-optimized software solutions. You will be instrumental in designing, implementing, and maintaining bio-informatics pipelines, ensuring seamless integration with our software infrastructure, and leveraging cloud computing platforms for efficient data processing and analysis.

Key Responsibilities

• Design, develop, and optimize bio-informatics pipelines for various applications, including genomics, transcriptomics, proteomics, and metagenomics.
  

• Collaborate closely with software engineers to integrate bio-informatics pipelines into existing software platforms.
  

• Troubleshoot and resolve pipeline issues, ensuring data integrity and accuracy.
  

• Develop and maintain APIs and data interfaces for seamless data exchange between bio-informatics tools and software applications.
  

• Utilize cloud computing platforms (e.g., AWS, GCP, Azure) to deploy and manage bio-informatics pipelines and data storage, optimize for cost-effectiveness and performance.
  

What are we looking for:

• 3+ years of experience in Bio-informatics, Computational Biology, Computer Science, or a related field
  

• Proficiency in shell and programming languages such as Python and R.
  

• Strong understanding of bio-informatics pipelines and workflows.
  

• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
  

• Experience with workflow management systems (eg. Nextflow, snakemake).
  

• Excellent communication and collaboration skills.
  

• Strong problem-solving and analytical abilities.vr