Senior Software Engineer & Project Lead

Clarity, LLC.; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Our Client in New York City seeks an experienced Lead Software Engineer to own technical direction and mentor a small team of engineers, collaborating with computational biologists to translate science into robust software tools.

The role targets architecture leadership, full-stack development, scalable genomics pipelines, ML integration, and best-practice governance across CI/CD, testing, and documentation.

Qualifications

• B.S. in Computer Science, Software Engineering, or related field.
• 10+ years of professional software engineering experience, including team leadership and hands-on involvement in planning, design, and development
• Proficiency in full stack development
• Extensive Python experience, including data pipelines and software libraries
• Demonstrated experience across the full SDLC: testing, CI/CD, version control, deployment
• Experience building and maintaining web-based applications
• Background in computational biology, bioinformatics, or a related field
• Experience working with large, heterogeneous biological datasets, ideally in genomics or biomedical contexts
• Strong cross‑functional communication skills and ability to work across technical and scientific disciplines

Responsibilities

• Serve as technical lead for the platform, guiding architecture, feature development, and major infrastructure upgrades
• Lead and mentor a team of full stack software engineers across code quality, workflows, and professional development
• Design, develop, and optimize scalable genomics data processing pipelines
• Integrate machine learning methods into production pipelines for heterogeneous biological datasets
• Establish and enforce engineering best practices: coding standards, version control, documentation, testing, and CI/CD
• Collaborate cross-functionally with computational biologists, data scientists, and external partners
• Evaluate emerging technologies in cloud infrastructure, bioinformatics, and scientific computing

Skills

Leadership

Python

Full stack development

Data pipelines

CI/CD

Web applications

Cross-functional communication

Education

B.S. in Computer Science or related field

Job description

Our Client, prominent private foundation dedicated to advancing fundamental research across mathematics, the physical sciences, and computational biology, is looking for an experienced Lead Software Engineer to join their NYC based team on full time basis.

This is a high-impact, hands-on leadership role responsible for owning technical direction and execution, mentoring a small team of software engineers, and collaborating closely with computational biologists and researchers to translate cutting-edge science into robust, production-grade software tools.

Responsibilities

• Serve as technical lead for the platform, guiding architecture, feature development, and major infrastructure upgrades
• Lead and mentor a team of full stack software engineers across code quality, workflows, and professional development
• Design, develop, and optimize scalable genomics data processing pipelines
• Integrate machine learning methods into production pipelines for heterogeneous biological datasets
• Establish and enforce engineering best practices: coding standards, version control, documentation, testing, and CI/CD
• Collaborate cross-functionally with computational biologists, data scientists, and external partners
• Evaluate emerging technologies in cloud infrastructure, bioinformatics, and scientific computing

Minimum Qualifications

• B.S. in Computer Science, Software Engineering, or related field
• 10+ years of professional software engineering experience, including team leadership and hands‑on involvement in planning, design, and development
• Proficiency in full stack development
• Extensive Python experience, including data pipelines and software libraries
• Demonstrated experience across the full SDLC: testing, CI/CD, version control, deployment
• Experience building and maintaining web-based applications
• Background in computational biology, bioinformatics, or a related field
• Experience working with large, heterogeneous biological datasets, ideally in genomics or biomedical contexts
• Strong cross‑functional communication skills and ability to work across technical and scientific disciplines