Tech Stack
AWSCloudLinuxMySQLOpen SourceOraclePostgresPythonSDLCShell ScriptingUnix
About the role
- Lead the design, development, and implementation of bioinformatics solutions for analyzing and managing biological data using Python, while adhering to best practices and quality standards.
- Collaborate with research scientists, software engineers, clinical teams, and external stakeholders to design bioinformatics workflows for ongoing projects and to build bioinformatics solutions.
- Foster a collaborative, innovative, and inclusive team culture that encourages continuous learning and knowledge sharing
- Identify and/or conceive novel approaches to better and more efficiently analyze client and public datasets.
- Participate in defining the high-level application architecture for future roadmap requirements and features.
- Coach team members by sharing domain and technical knowledge and code reviews. Drive improvements in quality assurance processes, addressing bottlenecks and inefficiencies to optimize workflows.
- Participate in activities such as hiring and onboarding.
- Work with cross-functional teams to ensure quality throughout the bioinformatics software and analytical pipelines development lifecycle.
- Exceptional problem-solving abilities and a passion for translating complex biological questions into actionable computational solutions.
- Ability to work under pressure and manage multiple projects simultaneously.
- Ensure compliance with our SDLC process during product development.
- Stay up-to-date on technology to deliver quality at each phase of the product life-cycle. You take leadership in evangelizing technical excellence within the team.
Requirements
- Ph.D. degree with 8+ years of postdoc or industrial experience or Masters Degree with 10+ years of industrial experience in Bioinformatics, Computer Science, Bioengineering, Computational Biology or related field with atleast 3+ years experience in leadership or managerial role.
- Extensive experience with bioinformatics tools, pipelines, and algorithms for genomics data analysis.
- Strong understanding of genomic data analysis, variant calling, targeted, whole-exome and whole-genome analysis.
- Excellent programming skills in Python and Shell scripting.
- Experience with Relational database such as PostgreSQL, mySQL or Oracle.
- Experience with version control systems such as GitHub.
- Experience with Linux/UNIX/Mac OS X based systems
- Experience with high-performance Linux cluster and cloud computing (AWS is preferred).
- Deep understanding of analytical approaches and tools for genomic data analysis along with familiarity with genomic databases. Candidates with proven expertise in the analysis of NGS data generated on sequencing platforms such as Illumina, Oxford Nanopore, or Thermo will be prioritized.
- Experience with open source bioinformatics tools and publicly available variant databases.
- Ability to manage moderately complex projects and initiatives.
- Exceptionally strong communication, data presentation and visualization skills.
- Personal initiative and ability to work effectively with in a cross functional team.
- Excellent communication skills and ability to learn and work independently when necessary.
- High energy and inquisitive and strong attention to detail.