Generate Biomedicines Job Trends

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1
Active Jobs (Last 14 Days)
0
Fresh Jobs (Last 3 Days)
100%
Jobs with Salary Data

Recent Job Posting Activity (30 Days)

Generate Biomedicines 30-day hiring trend

Job Category Distribution

Generate Biomedicines job category distribution
Data spans Nov 11, 2025 through Dec 11, 2025, aggregated by PharmaPayWatch.com. Recent job postings shows the number of jobs posted each day (bars) for the past 30 days with an overlay of the 7 day running average. The rose plot shows how PharmaPayWatch categorizes those jobs to get a better sense of Generate Biomedicines's recent hiring focus. Note that some jobs aren't categorized by our filters, we exclude those from the rose plot.

Current Generate Biomedicines Jobs, Salary Data, and Stats

In the last two weeks, Generate Biomedicines has posted 1 positions. None of those roles offer remote or hybrid work. We've been tracking Generate Biomedicines since February 11, 2025.

Career Tracks Currently Hiring

Commercial Other Scientific Research Data Science Quality & Regulatory Software & IT Medical Affairs Medical Practice Clinical Operations

Currently Hiring Office Locations

Somerville, MA Andover, MA Remote/Somerville, MA Remote, US Remote USA and 6 more

Current Generate Biomedicines Jobs

Last updated: Dec 11, 2025

Showing 1 active jobs. Active jobs were posted in the last 14 days. Fresh jobs were posted within the last 3 days. Click a row for more details.

Role

Senior Scientist I, Cell-free Protein Synthesis

Research Dec 2
$124,000 - $174,000
Somerville, MA
Apply →
Generate is seeking a highly creative and technologically curious Senior Scientist I in Cell-free Protein Synthesis to be part of the CFPS group in our prototyping lab. We believe innovations at the intersection of machine learning, computational protein design, and HTP experimentation will transform the ways that we bring new therapies to patients. The Senior Scientist will contribute to efforts to expand our intrinsically scalable CFPS platform using synthetic biology, ML-guided optimization and strain engineering, with the aim of increasing throughput, and dramatically shortening design-build-test-learn cycles of our therapeutic candidates. They will work to 1) further integrate CFPS technology...