Brief description
This is a back-end-leaning full-stack founding engineer role for a non-profit applying recent AI developments to biological research, particularly in genetics. Their pitch is that they're trying to create a kind of "github for bio research", where information is versioned, searchable, and structured. They operate like a startup (so expect hours to be heavier), but they're funded like a research org (by e.g. DARPA).
The work itself is heavy on the back-end, building vectorized search over a large amount of research data. Some front-end is needed for user interfaces, but the main technical challenges are in handling high document volume. Typical tech stack (Go/Python + Vector DBs back-end, running on AWS, React front-end).
This role is in-office 4d/week in Cambridge, MA, near Harvard/MIT.
What they're looking for
[Required]
3+ years of experience as an engineer
Familiarity with medium-scale back-end development - this is more than a CMS crud-app sort of volume.
An example of something you've built from 0 to 1. This does not have to have been at a startup, but it's good if it is.
[Nice-to-have]
5+ years of experience
Deeper familiarity with the front-end. Not essential, but a plus.
Background in Python or Go
Familiarity with vector DBs (they use qdrant)
A background in biology, genetics, or related fields
What they're offering
Salary: c. $200k (no equity, since this is a non-profit)
Fundamentally positive-for-the-world product: better research means better advancements in e.g. medicine and genetic screening.
Startup environment without a for-profit mission.
401(k) matching (unusual for companies at this stage)
Substantial runway (2+ years)
Brief description
This is a back-end-leaning full-stack founding engineer role for a non-profit applying recent AI developments to biological research, particularly in genetics. Their pitch is that they're trying to create a kind of "github for bio research", where information is versioned, searchable, and structured. They operate like a startup (so expect hours to be heavier), but they're funded like a research org (by e.g. DARPA).
The work itself is heavy on the back-end, building vectorized search over a large amount of research data. Some front-end is needed for user interfaces, but the main technical challenges are in handling high document volume. Typical tech stack (Go/Python + Vector DBs back-end, running on AWS, React front-end).
This role is in-office 4d/week in Cambridge, MA, near Harvard/MIT.
What they're looking for
[Required]
3+ years of experience as an engineer
Familiarity with medium-scale back-end development - this is more than a CMS crud-app sort of volume.
An example of something you've built from 0 to 1. This does not have to have been at a startup, but it's good if it is.
[Nice-to-have]
5+ years of experience
Deeper familiarity with the front-end. Not essential, but a plus.
Background in Python or Go
Familiarity with vector DBs (they use qdrant)
A background in biology, genetics, or related fields
What they're offering
Salary: c. $200k (no equity, since this is a non-profit)
Fundamentally positive-for-the-world product: better research means better advancements in e.g. medicine and genetic screening.
Startup environment without a for-profit mission.
401(k) matching (unusual for companies at this stage)
Substantial runway (2+ years)
