iPSC Biology & Automation Co-op: Cellular Models

Biogen

Cambridge (MA)

On-site

USD 40,000 - 45,000

Full time

7 hours ago
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Benefits offered by this job

Company paid holidays
Commuter benefits
Employee Resource Groups participation
80 hours of sick time per calendaryear

Job summary

Biogen in Cambridge, MA is offering a 6-month Co-op from January to June 2027. You will work with a multidisciplinary team to develop and characterize in vitro iPSC-based models and apply molecular biology techniques to study disease biology in the context of drug discovery.

The role emphasizes hands-on biology and automation, including translating manual workflows to automated steps with the CellXpress platform and contributing to cross-functional projects and data analysis.

Qualifications

  • Experience with iPSC culture and molecular biology techniques.
  • Interest in robotics/automation and lab automation.
  • Hands-on laboratory experience preferred.

Responsibilities

  • Assist with generation, maintenance, and characterization of iPSCs and iPSC-derived cell types.
  • Automate selected laboratory protocols using CellXpress platform.
  • Perform molecular and cellular biology assays to characterize cellular health and disease phenotypes.
  • Maintain accurate experimental records and contribute to interpretation of results.
  • Support development and troubleshooting of protocols to improve robustness.

Skills

iPSC culture
Molecular biology
Robotics/automation
Lab techniques
Data analysis

Education

Bachelor's Degree
Masters/PhD candidate

Tools

Molecular Devices CellXpress

Job description

Biogen in Cambridge, MA is offering a 6-month Co-op from January to June 2027. You will work with a multidisciplinary team to develop and characterize in vitro iPSC-based models and apply molecular biology techniques to study disease biology in the context of drug discovery.

The role emphasizes hands-on biology and automation, including translating manual workflows to automated steps with the CellXpress platform and contributing to cross-functional projects and data analysis.

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