The Cradle x Bits in Bio Survey aims to provide data to those who want to improve the software and tools used in the field. We hope that the community will discover insights on attitudes, tools, and environments influencing science and software today.
Survey Results are grouped into 5 sections:
- Bits in Bio
- Education, Work, and Career
- Goals & Objectives for protein engineers
- Software Technologies & Methods
- Basic Information & Final Questions
A huge thank you to all BioDevelopers who participated in this inaugural survey. Your contribution is greatly appreciated.
As we plan to make this an annual survey, we welcome feedback on the first edition. We've already learned to shorten it for next year to make it easier to contribute.
Please share your thoughts on the following:
- Is "BioDeveloper Survey" the right name, or does it bias too much towards in silico work?
- Where should we share the survey to increase participation?
- What other improvements should we consider?
How did you hear about Bits in Bio?
Word of mouth (a colleague or friend)51/154 respondents33%
I hadn't heard about Bits in Bio before12/154 respondents8%
Bits in Bio Meetup6/154 respondents4%
How frequently would you say you go on the Bits in Bio Slack Channel during a typical month?
A few times per week31/143 respondents22%
A few times per month or weekly28/143 respondents20%
Less than once per month or monthly18/143 respondents13%
Daily or almost daily16/143 respondents11%
Which part of Bits in Bio do you find most useful?
Slack community60/140 respondents43%
Job Board/channel12/140 respondents9%
Do you consider yourself a member of the Bits in Bio community?
Yes, definitely21/144 respondents15%
Yes, somewhat55/144 respondents38%
No, not really31/144 respondents22%
No, not at all32/144 respondents22%
Not sure5/144 respondents3%
What sources do you use to keep up to date in your field?
Google scholar77/155 respondents50%
Which of the following best describes your current employment status?
Employed Full time118/156 respondents76%
PhD-student or post-doc24/156 respondents15%
Independent contractor, freelancer, or self-employed13/156 respondents8%
Student, full-time7/156 respondents4%
Not employed, but looking for work6/156 respondents4%
What is the main focus in your current role? Select all that apply
Computational Biologist / Bio-informatician61/144 respondents42%
Software Engineer44/144 respondents31%
Data Scientist43/144 respondents30%
ML Engineer/Researcher26/144 respondents18%
Do you use machine learning in your work?
Would you be interested in using machine learning in your work?
Do you consider yourself to be working in industry or academia?
What industry does your organisation operate in?
Basic / Fundamental research26/102 respondents25%
Food & Nutrition13/102 respondents13%
Approximately how many people are employed by the company or organization you currently work for?
Just me - I am a freelancer, sole proprietor, etc.4/105 respondents4%
2 - 19 employees30/105 respondents29%
20-99 employees18/105 respondents17%
100-499 employees22/105 respondents21%
500- 4,999 employees13/105 respondents12%
5,000 or more employees18/105 respondents17%
Has your work involved protein engineering?
Not yet - but I'm curious to explore protein engineering in the future64/154 respondents42%
What types of proteins have you worked with over the past 12 months?
Short peptides13/44 respondents30%
Gene regulatory proteins11/44 respondents25%
Structural proteins7/44 respondents16%
What types of proteins do you want to work on over the next 12 months?
Gene regulatory proteins40/90 respondents44%
Short peptides24/90 respondents27%
Structural proteins21/90 respondents23%
Which of the following design objectives have you done extensive work on over the past 12 months?
Improve binding affinity14/37 respondents38%
Discover & Find novel activity / function13/37 respondents35%
Improve codon usage11/37 respondents30%
Stability optimization11/37 respondents30%
Improve (heterologous) expression10/37 respondents27%
Which of the following design objectives do you plan to work on over the next 12 months?
Stability optimization31/70 respondents44%
Discover & Find novel activity / function30/70 respondents43%
Improve binding affinity24/70 respondents34%
Improve (heterologous) expression19/70 respondents27%
Improve codon usage18/70 respondents26%
How many candidates do you typically assay each round?
How do you determine whether the tested variant performs better?
Directly, via assaying the property of interest directly (in vitro)24/34 respondents71%
Indirectly, via measuring a proxy for improved behavior (in vivo, using e.g. a screening/reporter host)21/34 respondents62%
Do you code?
Yes - I am comfortable writing code130/154 respondents84%
No - I don't write code15/154 respondents10%
Some - I modify other people's code, but rarely start from scratch.9/154 respondents6%
How did you learn to code?
Just by doing it102/138 respondents74%
School or formal education87/138 respondents63%
Other online resources (example: videos, blogs)62/138 respondents45%
Books / physical media40/138 respondents29%
Online course or certification35/138 respondents25%
How often do you personally do data analysis for work?
Every 3 months4/138 respondents3%
How often do you personally write scripts to automate workflows for work?
Every 3 months11/138 respondents8%
Which of the following languages have you used in the past 12 months for data analysis?
Shell (Bash/Powershell/etc)84/135 respondents62%
Which of the following languages have you used in the past 12 months to write scripts to automate workflows?
Shell (Bash/Powershell/etc)81/130 respondents62%
Which of the following languages do you plan to work in over the next 12 months?
Shell (Bash/Powershell/etc)82/137 respondents60%
How often do you personally develop new tools and libraries for work?
Every 3 months25/129 respondents19%
Which of the following languages have you used in the past 12 months to develop new tools and libraries?
Shell (Bash/Powershell/etc)38/117 respondents32%
How often do you personally program data engineering / pipelines for work?
Every 3 months12/127 respondents9%
How often do you personally do machine learning for work?
Every 3 months18/129 respondents14%
How often do you personally program web interfaces for work?
Every 3 months17/129 respondents13%
Which of the following languages have you used in the past 12 months to do program web interfaces?
Which of the following databases have you done extensive work in over the past 12 months?
Which of the following databases do you want to work in over the next 12 months?
Which cloud platforms have you done extensive development work in over the past 12 months?
Google Cloud Platform32/128 respondents25%
Microsoft Azure5/128 respondents4%
Which cloud platforms do you want to work with over the next 12 months?
Google Cloud Platform33/95 respondents35%
Microsoft Azure14/95 respondents15%
IBM Cloud or Watson5/95 respondents5%
When you are using data from another source, what formats does it come in (input data)?
When you are storing data for analysis or later use which formats do you use (output data)?
Which of the following data sources have you used extensively over the past 12 months?
RCSB / PDB32/143 respondents22%
Which of the following data sources do you want to work with over the next 12 months?
RCSB / PDB32/128 respondents25%
What tools and libraries have you used to visualize data over the last 12 months?
Google Sheets46/150 respondents31%
What tools and libraries do you plan to use to visualize data over the next 12 months?
Google Sheets32/139 respondents23%
Which of the following lab information management systems and electronic lab notebooks have you done extensive work in over the past 12 months?
Thermo Scientific SampleManager4/135 respondents3%
Which of the following LIMS and ELN do you want to work in over the next 12 months?
Thermo Scientific SampleManager4/127 respondents3%
Which of the following, if at all, best describes you?
Prefer not to say9/142 respondents6%
Which of the following best describes the highest level of formal education that youʼve completed?
Other doctoral degree (Ph.D., Ed.D., etc.)70/154 respondents45%
Master's degree (M.A., M.S., M.Eng., MBA, etc.)44/154 respondents29%
Bachelor's degree (B.A., B.S., B.Eng., etc.)34/154 respondents22%
Professional degree (JD, MD, etc.)3/154 respondents2%
Some college/university study without earning a degree2/154 respondents1%
How do you feel about the length of this survey?
Appropriate in length87/150 respondents58%
Too long63/150 respondents42%
How easy or difficult was this survey to complete?
Neither easy nor difficult57/149 respondents38%