aneesh
Joined 19 years ago
Joined 19 years ago
Datavant helps healthcare companies protect their data, link it with other health data, and safely share it with partners.
We're looking for nice, smart, entrepreneurial engineers to help us organize the world's healthcare data. Our vision is backed by Roivant Sciences, Softbank and Founders Fund, and we recently closed a $40M funding round.
We're looking to hire multiple engineers at all levels, and especially engineers with a few years of professional experience.
Apply at https://datavant.com/careers/ and you'll hear from us promptly. If you have questions, feel free to email me directly my-hn-username (at) datavant.com
Datavant is focused on using artificial intelligence to improve the clinical trial process. We're a small, ambitious SF-based team looking for extremely talented, entrepreneurial individuals from all backgrounds and experiences to join us. Backed by Roivant Sciences, we're combining best-in-class data science with Roivant’s biopharmaceutical research expertise. No healthcare experience required.
Email us at [email protected] to learn more.
0) Make sure you understand 409a valuation and Alternative Minimum Tax. These two concepts will materially impact the post-tax value of late-stage private company options.
1) Clarify what the $1300 price is. Is it a 409a price, or the latest preferred share price, or something else? Also, get an exact number if $1300 is approximate.
2) Make sure your options are ISOs (and not NSOs). Ask for the count of total outstanding shares.
3) Try to get a history of the company's recent 409a valuations. This will give you some idea of how fast the fair market value is growing. Fair market value at time of exercise affects the taxes you owe.
4) If you leave the company, check how long you have to exercise your options or lose them. The standard is 90 days - this is something to be aware of so it doesn't surprise you.
I’ve talked to a bunch of teachers and school leaders, and see three main ways schools are handling AI use in assessments:
1. Punish it: Detect AI use on homework and take home exams; treat it as cheating.
2. Prevent it: Move to live assessments – oral or offline – that are hard to cheat on.
3. Embrace it: Assess the process, not the output.
The second one seems to be the only real answer for foundational subjects. And the third one can also work for more creative or project-based work.