Essential Functions:

• Drive technical solutions to problems, including end-to-end process flow from ideation to release, and estimating time and complexity

• Design and develop custom software according to ticket specifications

• Act as a role model for the team, settings standards for excellence and mentoring junior engineers

• Provide clear and consistent feedback on code reviews

• Meet with clients, partners, product owners, or other stakeholders to understand and clarify workflows and requirements

• Highlight blockers or issues arising during development to resolve in a timely manner

• Monitor process and log information, troubleshooting issues as needed

• Other duties as assigned.

Qualifications:

• Bachelor's degree (+ at least 5 years work experience), Master’s degree (+ at least 2 years work experience), or PhD degree in Bioinformatics, Computer Science, or a related field

• Proficient in Python coding

• Intermediate-to-advanced experience working in Linux environments (e.g. compiling programs from source, performing text manipulations with pipes)

• Intermediate-to-advanced experience in relational databases (e.g., MySQL, PostgreSQL, Microsoft SQL Server)

• Proficiency with software engineering best practices, including git version control, unit testing, and documentation

• Knowledge of next-generation sequencing technologies and standard bioinformatics data formats (e.g., FASTQ, BAM, VCF, GTF)

• Excellent communication and interpersonal skills.

Preferred:

• Experience with cloud computing environment (AWS, Azure, Google Cloud)

• Familiarity with Atlassian suite applications (Jira, Confluence, BitBucket)

• Knowledge of clinical genetics databases (e.g., Clinvar, HGMD) and HGVS sequence variant nomenclatures

• Prior experience in biology and/or an understanding of mutation analysis

• Creating and developing Docker containers

• Experience developing APIs

• Experience with CI/CD (e.g. Bamboo, Jenkins, AWS Code Pipeline)