Software Engineering Manager, Lab Informatics Platform

Profluent Bio

. Lead, mentor, and grow a software engineering team focused on lab informatics systems, scientific data infrastructure, and scientist-facing applications .

Posted 5/5/2026full-timeEmeryville • California • 🇺🇸 United StatesSeniorLead💰 $180,000 - $250,000 per yearWebsite

Tech Stack

Tools & technologies

BigQueryDjangoGoogle Cloud PlatformPostgresPython

About the role

Key responsibilities & impact

Lead, mentor, and grow a software engineering team focused on lab informatics systems, scientific data infrastructure, and scientist-facing applications
Architect and deliver the roadmap for systems that support sample tracking, assay data capture, Benchling integration, lab automation, experimental metadata, and analysis workflows
Design robust data models for protein engineering and gene editing experiments, including constructs, samples, reagents, cell systems, assay results, metadata, and experimental lineage across mammalian and bacterial workflows
Partner closely with scientists to translate complex laboratory requirements into scalable software solutions that accelerate Profluent’s design-build-test-learn cycle
Build and maintain backend systems, APIs, databases, data pipelines, and web applications using technologies such as Python, Django, PostgreSQL, BigQuery, GCP, and modern development workflows
Establish strong engineering practices across architecture, code review, testing, CI/CD, documentation, and agile delivery

Requirements

What you’ll need

7+ years of software engineering experience, including at least 2 years managing or leading engineers
BS, MS, or PhD in Computer Science, Bioinformatics, Computational Biology, Engineering, or a related field, or equivalent experience
Strong technical leadership skills, with a track record of architecting and delivering production-quality software systems
Proficiency with Python, backend development, databases, APIs, and modern software engineering workflows
Experience building lab informatics systems, scientific data platforms, LIMS/ELN integrations, research software, or scientist-facing applications
Experience with data modeling and database design for complex scientific, operational, or experimental workflows
Demonstrated ability to work closely with scientists and translate ambiguous laboratory workflows into reliable software systems.

Benefits

Comp & perks

Competitive compensation package with equity participation
401(k) with a strong employer match
Comprehensive benefits including health/dental/vision insurance
Generous PTO policy and commitment to work-life balance
Professional development opportunities in a cutting-edge field at the intersection of AI and biology

ATS Keywords

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Hard Skills & Tools

PythonDjangoPostgreSQLBigQueryGCPbackend developmentAPIsdata modelingdatabase designsoftware engineering workflows

Soft Skills

technical leadershipmentoringcollaborationcommunicationproblem-solvingtranslating requirementsagile deliverycode reviewtestingdocumentation

Certifications

BS in Computer ScienceMS in Computer SciencePhD in Computer ScienceBS in BioinformaticsMS in BioinformaticsPhD in BioinformaticsBS in Computational BiologyMS in Computational BiologyPhD in Computational BiologyEngineering degree