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Dale WorkForce Solutions · 1 week ago

Bioinformatician/Scientific Software Engineer

South San Francisco, CA

Full-time

Hybrid

Entry, Mid Level

2+ years exp

Confidential company is seeking a talented and motivated Bioinformatician / Scientific Software Engineer to build scalable and interactive web applications that support high-throughput proteomics research. The role focuses on enhancing an existing Python-based web framework and working closely with bioinformaticians and experimental scientists to advance computational infrastructure for complex biological datasets.

Bookkeeping and PayrollConsultingRecruitingStaffing Agency

Responsibilities

Develop and maintain Python-based web applications using Flask for backend services and Dash/Plotly for frontend visualizations, ensuring that applications are responsive, reliable, and capable of handling millions of quantitative data points

Design and integrate backend logic and REST APIs with clean object-oriented programming practices, and contribute to shared codebases with strong version control, testing, and documentation

Work with a variety of database systems and data models, applying best practices in schema design and data organization to support large-scale biological datasets

Leverage your understanding of biological data to design impactful visualizations that help experimental scientists interpret results and accelerate discovery research

Work with the team on building scalable web applications and computational infrastructure for high-throughput proteomics data, contribute to shared codebases with strong software engineering practices, and develop customized Flask/Dash applications across backend and frontend

Qualification

PythonFlaskDash/PlotlyREST APIsDatabase systemsData modelingCI/CD practicesBioinformatics workflowsStatistical algorithmsMass spectrometryQuantitative data analysis

Required

Masters degree OR Bachelors degree and 2 years of experience OR Associates degree and 6 years of experience OR High school diploma / GED and 8 years of experience

Develop and maintain Python-based web applications using Flask for backend services and Dash/Plotly for frontend visualizations

Ensure that applications are responsive, reliable, and capable of handling millions of quantitative data points

Design and integrate backend logic and REST APIs with clean object-oriented programming practices

Contribute to shared codebases with strong version control, testing, and documentation

Work with a variety of database systems and data models, applying best practices in schema design and data organization to support large-scale biological datasets

Familiarity with CI/CD practices

Leverage understanding of biological data to design impactful visualizations that help experimental scientists interpret results and accelerate discovery research

Work with the team on building scalable web applications and computational infrastructure for high-throughput proteomics data

Develop customized Flask/Dash applications across backend and frontend

Preferred

Experience with mass spectrometry–based proteomics or other omics datasets, and familiarity with quantitative biological data analysis

Experience with different types of databases, including relational, NoSQL, or array-based systems, with an emphasis on data modeling and schema design

Familiarity with bioinformatics workflows, statistical algorithms, and tools such as Nextflow or similar workflow management languages is desirable