Bioinformatician​/Scientific Software Engineer

Bioinformatician/Scientific Software Engineer

Join to apply for the Bioinformatician/Scientific Software Engineer role at Dale Work Force Solutions.

Location:

Hybrid: 3 days per week – Can be based in San Francisco, CA or Thousand Oaks, CA

Duration: 1 year + extensions

The Discovery Proteomics group is seeking a talented and motivated Bioinformatician / Scientific Software Engineer to build scalable and interactive web applications that support high-throughput proteomics research. This position focuses on extending and enhancing an existing Python-based web framework by developing new features, improving backend and frontend integration, and ensuring applications scale to handle large and complex biological datasets. The successful candidate will work closely with bioinformaticians, experimental scientists, and informatics teams to advance computational infrastructure that enables scientists to explore, visualize, and interpret complex biological datasets and drive data-informed decision making in discovery research.

• Develop and maintain Python-based web applications using Flask for backend services and Dash/Plotly for frontend visualizations.
• Ensure 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 various database systems and data models, applying best practices in schema design and data organization for large-scale biological datasets.
• Leverage understanding of biological data to design visualizations that help scientists interpret results and accelerate discovery research.
• Collaborate with the team to build scalable web applications and computational infrastructure for high-throughput proteomics data; develop customized Flask/Dash applications across backend and frontend.

• Experience with mass spectrometry-based proteomics or other omics datasets; familiarity with quantitative biological data analysis.
• Experience with relational, No
  
  SQL, or array-based databases, with emphasis on data modeling and schema design.
• Familiarity with bioinformatics workflows, statistical algorithms, and tools such as Nextflow or similar workflow management languages.

• 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

• Seniority level:
  Entry level
• Employment type:
  
  Contract
• Job function:
  Information Technology
• Industries:
  Pharmaceutical Manufacturing

Note:

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