Senior Software Engineer, R&D Informatics

BioSpace; Monrovia (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Stock Options

Retirement Safe Harbor Contribution

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Coverage

Job summary

BioSpace seeks a software engineer to develop and maintain backend systems, data pipelines, and UI for wet-lab and computational discovery platforms. You will work on internal apps and integrations with ELN/LIMS systems.

Collaborate with scientists to connect informatics via APIs and databases, and contribute tests, documentation, and code reviews. Strong Python and PyData skills, Linux, AWS, and API design knowledge are required; TypeScript UI frameworks are a plus.

Qualifications

• Degree in computer science or related field, or equivalent experience.
• Strong Python and PyData skills; Linux proficiency.
• Familiar with AWS, database experience, API design; production-grade code.

Responsibilities

• Develop and maintain backend systems, data pipelines, and UI for wet-lab and computational discovery platforms, including internal applications and integrations with ELN/LIMS systems.
• Collaborate with scientists to connect informatics systems through APIs and databases, and contribute tests, documentation, and code reviews across the company’s software codebase.

Skills

Python

PyData

Linux

API design

Data pipelines

Dashboard development

UI development

Unit testing

Integration testing

Version control

Code review

TypeScript

ReactJS

Education

Bachelor's degree in Computer Science

Tools

Job description

Develop and maintain backend systems, data pipelines, and user interfaces for wet-lab and computational discovery platforms, including internal applications and integrations with commercial ELN/LIMS systems. Collaborate with scientists to connect informatics systems through APIs and databases, and contribute tests, documentation, and code reviews across the company’s software codebase.

Requirements: A degree in computer science or a related field, or equivalent experience, is required, along with strong Python and PyData skills, Linux proficiency, database experience, familiarity with AWS, and knowledge of API design. Candidates should be able to produce high-quality production code and understand software best practices; scientific informatics experience, LLM coding agents, and TypeScript UI frameworks are preferred.

Key Skills: Python, PyData Stack, Linux, Database Languages, AWS, Production-Ready Code, API Design, Data Pipelines, Dashboard Development, User Interface Development, Unit Testing, Integration Testing, Version Control, Code Review, TypeScript, ReactJS

Benefits: Stock Options, Retirement Safe Harbor Contribution, Health Insurance, Dental Insurance, Vision Insurance, Life Insurance, Disability Coverage