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From academia to industry,
reflections on a career in data science
Juuso Parkkinen, PhD - @ouzor
Senior Data Scientist, Ni...
Outline
1.My career as a Data Scientist
2.Reflections
3.Career advice
My career as a Data Scientist
The Data Science Venn Diagram
http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram
My career from Academia to ”Industry”
MSc in bioinformation technology
(HUT / Aalto)
PhD in bioinformatics and machine
lea...
Data Science research: probabilistic
models for biomedical problems
7
More on my research and other projects:
https://ouzo...
Data Science as a hobby: open tools for open data
Blogging
Open source programming
Open Knowledge -community
Blogs: https:...
Open Data Science at Reaktor
Kannattaakokauppa.fi by Reaktor: http://kannattaakokauppa.fi
More about the model: https://ou...
Nightingale Health
• Biotech company empowering research, healthcare and industry
with molecular health data
• Creates pio...
Problem with chronic diseases:
We are diagnosted, and we are told “yes”, or “no”.
Current focus = Sickcare
Solution:
Night...
Lipoprotein particle size
Glycerides & phospholipids
14 lipoprotein subclasses
Fatty acid saturation
Cholesterol
Apolipopr...
Data Science at Nightingale Health
Individual markers
Traditional vs. Nightingale risk score
Reflections
Uncertainty and luck
I did not have everything planned beforehand
My career choices may make sense in hindsight,
but there...
Failing and learning
My PhD time felt like a series of failures, but after some time I
have realised how much I can learn ...
Transition from academia to industry
Why did I do it?
Am I happy with the transition?
How is the work different?
What abou...
Transition from academia to industry
Why did I do it?
Am I happy with the transition?
How is the work different?
What abou...
Career advice
Scientists and entrepreneurs…
https://twitter.com/rsiilasmaa/status/1078203532661014529
Scientists and entrepreneurs… go hand in hand!
The key to success in
both is to ask good
questions!
https://twitter.com/rs...
Design thinking helps in asking good questions
Read more: Design Thinking for project managers and entrepreneus
https://me...
Life after PhD is uncertain
PhD training mostly prepares you for a
tenure track - yet most of you will not get
a permanent...
How do lucky people generate their own fortune?
They are skilled at creating and noticing chance opportunities
They make l...
Reach out
Make your work visible: Write a blog, code stuff - be creative
Visit events and talk to people, also outside you...
Uncertainty may help you to ask the right questions
https://www.uprightproject.com/blog/compromise-the-answer-not-the-question
PhD training makes you good at
Trying, failing, and trying again
Tackling big problems systematically
Accepting ignorance ...
Learn to do things right
Personal time management
Effective team work
Continuous improvement
Hint: It’s all just common se...
What about (the lack of) talent?
Recap
Seek good questions, not answers
Accept and embrace uncertainty about the future
Reach out to the real world
Recogni...
Thank you!
Juuso Parkkinen, PhD - @ouzor
Senior Data Scientist, Nightingale Health - @NgaleHealth
www.nightingalehealth.com
From Academia to Industry, Reflections on a Career in Data Science
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From Academia to Industry, Reflections on a Career in Data Science

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Presentation at HICT S5 Doctoral Student seminar at Aalto University in April 25, 2019.

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From Academia to Industry, Reflections on a Career in Data Science

  1. 1. From academia to industry, reflections on a career in data science Juuso Parkkinen, PhD - @ouzor Senior Data Scientist, Nightingale Health - @NgaleHealth HICT S5, Aalto University, April 25, 2019
  2. 2. Outline 1.My career as a Data Scientist 2.Reflections 3.Career advice
  3. 3. My career as a Data Scientist
  4. 4. The Data Science Venn Diagram http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram
  5. 5. My career from Academia to ”Industry” MSc in bioinformation technology (HUT / Aalto) PhD in bioinformatics and machine learning (Aalto) Data Scientist (consultant) at Reaktor Data Scientist at Nightingale Health
  6. 6. Data Science research: probabilistic models for biomedical problems 7 More on my research and other projects: https://ouzor.github.io/projects.html
  7. 7. Data Science as a hobby: open tools for open data Blogging Open source programming Open Knowledge -community Blogs: https://louhos.github.io/, https://ouzor.github.io/
  8. 8. Open Data Science at Reaktor Kannattaakokauppa.fi by Reaktor: http://kannattaakokauppa.fi More about the model: https://ouzor.github.io/blog/2016/03/08/apartment-price-model.html
  9. 9. Nightingale Health • Biotech company empowering research, healthcare and industry with molecular health data • Creates pioneering products to solve the global burden of chronic diseases, such as cardiovascular disease and diabetes • Spearhead innovation is the NMR-based technology to analyze over 200 blood biomarkers from a single sample, with unprecedented price and quality level • Built upon an unrivalled scientific foundation with over 200 peer-reviewed publications
  10. 10. Problem with chronic diseases: We are diagnosted, and we are told “yes”, or “no”. Current focus = Sickcare Solution: Nightingale has built a blood testing technology that helps us forecast our health in chronic diseases. We want to enable preventive & personalized medicine in global healthcare.
  11. 11. Lipoprotein particle size Glycerides & phospholipids 14 lipoprotein subclasses Fatty acid saturation Cholesterol Apolipoproteins Fatty acids Ketone bodies Inflammation Fluid balance Amino acids Glycolysis-related measures Multiple use areas Research Cardiovascular disease Diabetes Maternal health Ageing Healthcare Screening Diagnostics Treatment follow-up One sample One test Comprehensive metabolic profile Nightingale’s technology
  12. 12. Data Science at Nightingale Health Individual markers Traditional vs. Nightingale risk score
  13. 13. Reflections
  14. 14. Uncertainty and luck I did not have everything planned beforehand My career choices may make sense in hindsight, but there has always been a great deal of uncertainty involved I have been lucky to end up where I am
  15. 15. Failing and learning My PhD time felt like a series of failures, but after some time I have realised how much I can learn from those moments. Experience also helps to put things in perspective • Data science is often just a small part of all the technology used to solve real problems • Technology is often just s small part of the solution
  16. 16. Transition from academia to industry Why did I do it? Am I happy with the transition? How is the work different? What about work-life balance?
  17. 17. Transition from academia to industry Why did I do it? Am I happy with the transition? How is the work different? What about work-life balance? There are pros and cons in both – find the one that suits you best!
  18. 18. Career advice
  19. 19. Scientists and entrepreneurs… https://twitter.com/rsiilasmaa/status/1078203532661014529
  20. 20. Scientists and entrepreneurs… go hand in hand! The key to success in both is to ask good questions! https://twitter.com/rsiilasmaa/status/1078203532661014529
  21. 21. Design thinking helps in asking good questions Read more: Design Thinking for project managers and entrepreneus https://medium.com/pm-insights/design-thinking-for-pms-and-entrepreneurs-77d4304c2b99 “Engineers and business people are trained to solve problems. Designers are trained to discover the real problems. A brilliant solution to the wrong problem can be worse than no solution at all: solve the correct problem.” Don Norman in The Design of Everyday Things
  22. 22. Life after PhD is uncertain PhD training mostly prepares you for a tenure track - yet most of you will not get a permanent position in academia You will thus face a lot of uncertainty about the future Accept and embrace the uncertainty: look for new opportunities
  23. 23. How do lucky people generate their own fortune? They are skilled at creating and noticing chance opportunities They make lucky decisions by listening to their intuition They create self-fulfilling prophesies via positive expectations They adopt a resilient attitude that transforms bad luck into good Richard Wiseman They Luck Factor, http://www.richardwiseman.com/resources/The_Luck_Factor.pdf
  24. 24. Reach out Make your work visible: Write a blog, code stuff - be creative Visit events and talk to people, also outside your bubbles Read books and educate yourself broadly Doing these things will help you shape your future, be it in academia or industry
  25. 25. Uncertainty may help you to ask the right questions
  26. 26. https://www.uprightproject.com/blog/compromise-the-answer-not-the-question
  27. 27. PhD training makes you good at Trying, failing, and trying again Tackling big problems systematically Accepting ignorance and asking questions Respecting science and the scientific method Continuous learning Communication
  28. 28. Learn to do things right Personal time management Effective team work Continuous improvement Hint: It’s all just common sense! Links: How agile project management can work for your research: https://www.nature.com/articles/d41586-019-01184-9 Boss Level –podcast: http://www.bosslevelpodcast.com/
  29. 29. What about (the lack of) talent?
  30. 30. Recap Seek good questions, not answers Accept and embrace uncertainty about the future Reach out to the real world Recognize things in your PhD training that help in facing uncertainty Continuously improve the way you work
  31. 31. Thank you! Juuso Parkkinen, PhD - @ouzor Senior Data Scientist, Nightingale Health - @NgaleHealth www.nightingalehealth.com

Presentation at HICT S5 Doctoral Student seminar at Aalto University in April 25, 2019.

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