BioPharmaTrend
Latest News
All Topics
  • Artificial Intelligence
  • NeuroTech
  • Premium Content
  • Knowledge Center
Interviews
Companies
  • Company Directory
  • Sponsored Case Studies
  • Create Company Profile
More
  • About Us
  • Our Team
  • Advisory Board
  • Citations and Press Coverage
  • Partner Events Calendar
  • Advertise with Us
  • Write for Us
Subscribe
Login/Join

  Artificial Intelligence

The Rising Influence of Machine Learning and Coding in Biotechnology (a Survey)

by Irina Bilous   •   May 15, 2023  

Disclaimer: All opinions expressed by Contributors are their own and do not represent those of their employers, or BiopharmaTrend.com.
Contributors are fully responsible for assuring they own any required copyright for any content they submit to BiopharmaTrend.com. This website and its owners shall not be liable for neither information and content submitted for publication by Contributors, nor its accuracy.

# AI & Digital   
Share:   Share in LinkedIn  Share in Bluesky  Share in Reddit  Share in Hacker News  Share in X  Share in Facebook  Send by email

The landscape of biotechnology is rapidly evolving, with coding and machine learning becoming integral to the innovative processes. A recent industry survey by Cradle, a platform that empowers scientists to design and program proteins, and Bits in Bio, a global community dedicated to creating software for science, reveals a detailed picture of current trends within the synthetic biology sector.

#advertisement
How BenchSci’s ASCEND Builds a Map for Biomedical Reasoning

Scientists utilizing de novo protein design

Coding: An Essential Skill for Biotechnologists

According to the survey, a significant majority of biotechnologists are now adept at coding. A remarkable 87% of wet lab scientist respondents reported that they write code, with 55% scripting to automate workflows weekly and 39% programming data engineering or pipelines on a similar schedule. Most of these scientists have acquired their coding skills independently, with 74% learning on the job and 63% through formal education.

Python emerged as the most common coding language, used by 97% of respondents for data analysis in the past year. Other frequently utilized languages include Shell (Bash/Powershell), R, SQL, and HTML/CSS.

 

Continue reading

This content available exclusively for BPT Mebmers

 BPT Membership 

Topics: AI & Digital   

Share:   Share in LinkedIn  Share in Bluesky  Share in Reddit  Share in Hacker News  Share in X  Share in Facebook  Send by email
#advertisement
ThermoFisher Scientific: Integrated genetic technologies for cell therapy development
#advertisement
Webinar: AI in Clinical Trials

BiopharmaTrend.com

Where Tech Meets Bio
mail  Newsletter
in  LinkedIn
x  X
gnews  Google News
rss  RSS Feed

About


  • What we do
  • Citations and Press Coverage
  • Terms of Use
  • Privacy Policy
  • Disclaimer

We Offer


  • Premium Content
  • BioTech Scout
  • Interviews
  • Partner Events
  • Case Studies

Opportunities


  • Membership
  • Advertise
  • Submit Company
  • Write for Us
  • Contact Us

© BPT Analytics LTD 2025
We use cookies to personalise content and to analyse our traffic. You consent to our cookies if you continue to use our website. Read more details in our cookies policy.