Genomics software engineer - Remote | WFH

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Overview

The Genomics Software Engineer at Get It Recruit will play a crucial role in developing sophisticated software solutions tailored for genomic data analysis and interpretation. This position requires a strong background in software engineering along with a deep understanding of genomic data processing and analysis. The successful candidate will collaborate with various teams to design, implement, and maintain software that supports genomic research and innovation. This is a fully remote role, allowing for flexibility and work-life balance.

Job Responsibilities

• Design and implement software applications for processing and analyzing genomic data.
• Collaborate with cross-functional teams to define software requirements and specifications.
• Conduct code reviews to ensure code quality and adherence to best practices.
• Debug and troubleshoot software defects and performance issues.
• Stay updated with advancements in genomics and incorporate relevant technologies into software solutions.
• Document software designs and maintain thorough technical documentation.

Qualifications

• Bachelor's degree in Computer Science, Bioinformatics, Genomics, or a related field.
• Proven experience in software development, preferably in the field of genomics or bioinformatics.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with genomic data formats (e.g., FASTA, VCF, BAM) and bioinformatics tools.
• Familiarity with cloud computing technologies (AWS, GCP, Azure) is a plus.
• Strong problem-solving skills and the ability to work independently as well as part of a team.

Technologies & Tools

The Genomics Software Engineer will utilize a variety of technologies and tools essential for genomic analysis. This includes programming languages such as Python and Java, version control systems like Git, databases for large-scale genomic data, and specific bioinformatics software tools for data analysis. Additionally, knowledge of cloud-based services will be important to facilitate the storage and processing of genomic datasets efficiently.

Ideal Candidates

Ideal candidates for this position are innovative thinkers who possess a strong technical background coupled with a passion for genomic sciences. They should be detail-oriented, able to work collaboratively in a team environment, and capable of effectively communicating complex technical concepts to non-technical stakeholders. A proactive attitude towards learning and adapting to new technologies and methodologies in genomics is essential for success in this role.