Life Sciences Software Engineer: Django + Python, Full-Stack

BioSpace

Louisville (CO)

On-site

USD 85,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Company bonus
401(k)
Pension
Vacation benefits
Medical insurance
Dental insurance
Vision insurance
Prescription drug benefits
Flexible spending accounts
Life insurance
Death benefits
Employee assistance program
Fitness benefits

Job summary

BioSpace is seeking a developer to design and enhance scientific workflow management applications, handling assay requests and sample tracking. You will bridge discovery teams and IT, translating scientific needs into concrete engineering specs.

The role requires a bachelor’s in CS or Engineering and 1+ year of full stack Django experience in Life Sciences or R&D, with strong Python, PostgreSQL, and CI/CD skills.

Qualifications

  • Requires a bachelor's degree in computer science or engineering with 1+ years of experience building full stack Django applications.
  • Experience in Life Sciences or R&D environment.
  • Proficiency in Python, PostgreSQL, and CI/CD pipelines.

Responsibilities

  • Develop and enhance scientific workflow management applications, including assay request handling and sample tracking.
  • Bridge between discovery teams and IT to convert scientific needs into engineering specifications.

Skills

Python
Django
PostgreSQL
Django REST Framework
CI/CD
Infrastructure-as-Code
Full Stack Development
AWS
Docker
Kubernetes
SQL Optimization
API Development
Unit Testing
Integration Testing
Database Schema Design
Cheminformatics

Education

Bachelor's degree in Computer Science or Engineering

Tools

Django REST Framework
CI/CD pipelines
AWS
Docker
Kubernetes

Job description

BioSpace is seeking a developer to design and enhance scientific workflow management applications, handling assay requests and sample tracking. You will bridge discovery teams and IT, translating scientific needs into concrete engineering specs.

The role requires a bachelor’s in CS or Engineering and 1+ year of full stack Django experience in Life Sciences or R&D, with strong Python, PostgreSQL, and CI/CD skills.

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