life sciences & AI at
@NVIDIA
🧬 writer & futurist 🚀 previously scientist at
@JGI
,
@UW
&
@UCBerkeley
👩🏻🔬 views are mine and do not represent my employer
Recently heard ‘it costs nothing to be nice’ at a meeting. And I strongly disagree. Continuing to be nice to people with harmful/toxic behaviors only creates a reward feedback loop encouraging them. And that is a heavy cost indeed.
Grad students thinking about a career industry, TA-ing is a highly underrated role in phd programs, often considered a burden in addition to research. But being a teaching assistant can provide several industry-specific transferable skills 🧵
grad students, if you’re not sure what jobs are applicable for your skillsets out of phd, just search the name of your grad program in Linkedin. It will show you all the alumni with non-academic career trajectories that faculty won’t tell you about
#AltAcChats
Curious about compensation in biotech and pharma? This massive spreadsheet of crowdsourced data from r/biotech is a fantastic resource capturing types of roles, types of orgs and experience levels across various geographic locations -
Starting next week I’ll be doing a weekly twitter thread about startups in biotech. Focusing on software, sequencing, drug discovery, and lab automation. Goals are to evangelize innovations and help grad students/postdocs find interesting places to apply for industry roles 1/2
subtweet: if all PI-related issues in academia can be boiled down to lack of funding the well funded labs would be known for positive culture and work-life balance
grad students and postdocs planning to transition to computational/data roles in industry - Python is pretty cool but please learn some boring SQL. It’s ubiquitous and necessary.
going to grad school genuinely delays a key realization that being successful and happy for that matter has nothing to do with being a good student or extremely technically skilled.
One of the sad parts about being in academia was the general derision towards fashion. I spent at least a few years wearing super boring clothes to fit in. Why do academics deny themselves self expression and art?
Being a TA in grad school turned out to be the most useful source of translatable skill for industry. TAing is underrated and often considered a burden for PhD students. But it can prepare you for a great career outside academia 🧵
The global postdoc shortage is in part because people are leaving for industry roles but also because academic PIs continue to be ultra-selective based on metrics like first author papers, “culture fit” and whether candidates are from prestigious labs/universities.
subtweet: people with ostensibly successful careers telling undergrads not to do a PhD is gatekeeping. It’s quite hard to predict what your future job needs. Do a doctoral if you can have sustained interest in a topic for 5-6 years.
Nobody talks about how labwork is actually physically taxing and inefficient. We need more practical solutions to make the life of scientists better. Is anyone automating simple things like washing beakers, test tubes or reusable pipette tips?
It’s 🧬Startup Saturday🧬and today i’m talking about
@plasmidsaurus
🦖🦕
Plasmidsaurus is solving a common cloning problem for lab scientists by providing fast, affordable (~$15) whole plasmid sequencing 🧵(1/4)
grad students, if you’re ambivalent about industry vs. academia - start doing informational interviews in 3rd/4th year instead of right before defense. Then you can incorporate job-relevant skills into your last dissertation chapter.
I can’t describe how important it is to establish roles, responsibilities and a general ethos for research labs. Especially in academia where so many labs turn dysfunctional due to internal competition and lack of structure.
@jgschraiber
@sebatlab
Exactly. Also the assumption that postdocs remain trainees for their entire time at a lab is absurd. They probably require the same ‘onboarding’ time as new hires in industry, somewhere between 3-6months. Labeling experienced scientists trainees for years is exploitative.
Excel is an extremely common tool in genomics. Often used to enumerate and annotate genes. With one massive caveat, Excel mistakes gene names for dates and automatically updates them. A recent paper in
@Nature
provides a tool to resolve this issue:
454 Bio just launched an open source DNA sequencing platform that could be a game changer in a space that has been previously controlled by a few companies
@454Bio
🧬👀
1) project management: planning a course calendar, syllabus and regular meetings
2) public speaking/scicomm: translating complex topics into a presentation and delivering it
3) people management/support: making sure the grading is fair, answering questions, office hours
When I switched from being a postdoc to a scientist at a biotech startup, I realized my previous work habits were useless. In this article, I describe 4 mental models to work more effectively in a company, especially for folks coming from a postdoc or phd. Link in bio👆
Curious about biotech salaries? Every year r/biotech does an anonymous survey, results below 👇 In 2023 the annual base ranged from 350k-20k. Leadership pays orders of magnitude more than individual contributor roles. Yet another incentive to develop soft skills!
Curious about salaries in biotech?
r/biotech's annual survey data for 2024 is out. With 700+ entries showing a range from $400k - $30k in annual base. Leadership roles earn significantly more and the inflection point is at director level and up. Link below👇
My career got infinitely better when I stopped looking for low stress jobs or projects and started getting better at differentiating good stress from bad stress.
Good stress comes from working on complex, impactful problems and bad stress often comes from difficult people
people in academia applying for industry roles, the order of items on the résumé should be:
- brief description & goals
- job experiences w/ specific projects
- skills (technical and soft skills)
- degrees
- publications/presentations/awards
If you are headed to industry, expect this progression👇
skillset 5 years ago: molecular/genomic techniques in lab, python and R, writing papers
skillset today: making an idea a reality with a cross-functional team, problem solving, removing blockers and breaking ties
Grad students planning to transition to industry - one major cultural difference between academia and industry is how much your success depends on being a low stress entity+likable.
Some things that will actively hamper progress -
1) not doing small talk
2) interrupting people
phds/postdocs headed to industry roles -- something nobody tells you is that 1st author papers will have little to no impact on your success whereas how you make people feel is going to become a significant determining factor in promotion, salary, title
@ScientistsLift
there is way more academic fraud and data fabrication than people realize. My guess is that a very small fraction is actually caught, usually when it’s very blatant or in a high profile paper.
@jmc_rhet
millennials complaining about their postdoc salaries when all they need to do is just roll their sleeves up and pick up that phone when Dartmouth search committee’s director calls you!!
@ZJAyres
when I was in grad school the people classified as average or non-starters were simply the most different compared to the professors in thought and demographics.
genuinely don’t understand the sharp line drawn across bioinformatics and molecular bio wet lab roles. When so many scientists do both, across industry (usually in startups) and also in academic labs
engineers and UI/UX people laid off by twitter, meta and other big tech companies should join life sciences software building efforts. their skills are precious here and can contribute to something more meaningful to humanity compared to adtech and social media.
Most of biotech software problems are at their core, software problems - legacy code, scalability, observability, security, skill gaps etc. But the biotech software workforce and leadership is disproportionately made up of bio experts versus software experts. (1/2)
‘Errors in the genome database and the associated computational methods led to millions of false-positive findings of bacterial reads across all samples’
@AnupamAich4
@TheBcellArtist
came here to say exactly this ☝️why in the world would anyone pick a postdoc over 3-4x higher comp, higher impact at work and generally better work culture?
Should biologists use agile/scrum? I wrote a short article on the successful use of LabScrum (link in bio). Key reasons why LabScrum works - 1) Breaking down monumental tasks to digestible chunks 2) Creating a safe space to share imperfect drafts and results 3) Embracing
Software in the life sciences is experiencing a moment of disruption much like fintech and edtech did, more than a decade ago. People working in biotech should consider joining software companies because the coming years will be transformative. Some indicators of change 🧵1/3
@TrumanLab
👆and usually they are not weeding out bad students, they are weeding out people *not* like themselves. People that might not come from the same background, culture or socioeconomic classes as them. This is hugely detrimental to innovation and progress.
phds/postdocs looking at industry roles right now are probably discouraged by the layoffs and uncertainty around jobs - a few things to remember:
- layoffs are accompanied with severance and a buffer period to find your next job. Postdoc roles rarely offer this.🧵1/3
@stacyfarina
This thread is very inspirational, albeit a bit optimistic. Speaking from experience, the culture of academia is changing in that younger faculty are quickly learning the correct optics while still perpetuating the same toxic/abusive lab policies behind the scenes.
subtweet: doing your statistical analyses using R vs any software with a GUI doesn’t make it more right 🧐
conversely a poor grasp of statistics can’t be saved with command lines. stay awake folks.
subtweet: industry vs. academia debates feel circular because both sides are arguing from a point of survivorship bias. The most useful tweets are people sharing their lived experiences from various roles to help grad students make a choice.
@Dey_Gautam
Let me get this right, you’d like underpaid postdocs to put *more* effort into doing free work while they tackle the stress and anxiety of academia? sounds great.
A coworker that is out of the loop on the academia vs industry discussion asked me how they are different culturally. My response was an anecdote from a previous role, a play in 3 acts.
Act 1 - Company hires a postdoc from Famous Lab™ with multiple CNS papers + v.good recs 🧵
i think my life got better when I stopped looking for low stress jobs/projects and started getting better at differentiating good stress from bad stress.
good stress comes from solving difficult problems and bad stress seems to come from working with difficult people.
the smartest and kindest people I know have two key personality traits:
1) learners for life, they are always studying, reading and teaching
2) strict boundaries around their time and effort
I have 3
1) your PI shouldn’t be the single source of truth for science or your performance. Find other faculty or people in power that can be your mentors.
2) create a strong network of collaborators.
3) listen more than you talk. But when you talk make it count.
@GradInSoup
I opted to quit academia and I’d say my experience is the exact opposite. I was always a workaholic. In industry I see direct rewards in the form of training, opportunities and compensation when I work beyond the 9to5. Something that was unheard of in academia.
CMV: Is there really a need to retain postdocs?
If the supply of TT roles is lower than number of postdocs, there isn’t a retention problem. Unless of course the goal is to extract cheap labor indefinitely with no career prospects.
product management concepts i wish i knew when i was a lab researcher:
1) MVP: creating a minimum viable product. this allows you to stop being perfectionist and keep making steady progress. one time i took 6 months to write a first draft for a pub, should have been weeks. 1/3