Senior Scientist
Discovery Biology
Posted on 4/3/2024
Flagship Pioneering

501-1,000 employees

Originates biotech ventures for health and sustainability
Company Overview
Flagship Pioneering stands out as a leader in the biotechnology industry, having originated and nurtured over 100 scientific ventures, including high-profile companies like Moderna and Indigo Agriculture. The company's culture is rooted in developing transformative products for human health and sustainability, as evidenced by their creation of platform companies like Generate Biomedicines and Tessera Therapeutics. Their competitive edge lies in their ability to explore new frontiers in genetics, as demonstrated by their recent unveiling of Quotient Therapeutics, a venture aimed at creating transformative medicines.
Venture Capital

Company Stage

N/A

Total Funding

$6.4B

Founded

2000

Headquarters

Cambridge, Massachusetts

Growth & Insights
Headcount

6 month growth

7%

1 year growth

22%

2 year growth

45%
Locations
Cambridge, MA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
R
Data Analysis
CategoriesNew
Lab & Research
Interdisciplinary Research
Life Sciences
Requirements
  • Ph.D. in molecular biology, cell biology, virology, genetics, or a similar field with 5+ years of industry or postdoctoral experience.
  • Experience with NGS data processing and analysis in R or Python a plus.
  • Experience with organoid models a plus.
  • Experience going end-to-end from experimental design through cloning, execution, NGS, and analysis.
  • Experience with cell culture and interest in in vitro assay development.
Responsibilities
  • Platform innovation aligned with FL101’s core strategic goals.
  • Design and execute discovery programs that develop FL101s platform while revealing new and valuable biology.
  • Optimize existing workflows and establish best experimental and documentation practices to enable platform excellence.
  • Ensuring rapid and accurate turnaround of data to drive achievement of key project goals.
  • Translate experimental data into meaningful insights and present results at team meetings.