Scientist, Binding Kinetics

The role

Our lab produces binding data faster than any one person can look at it. Runs come off the Gators and the Carterra, go through our processing pipeline, and land in a review queue. Somebody with real judgment then has to decide: is this curve real? Is that a fit artifact or a genuine two-state binding event? Does this replicate get delivered, or does the sample get re-run? That person is you.

The second half of the job is talking to the customer about it. When a design team gets a plate back and three of their best predictions look like non-binders, they want to talk to someone who can explain why: reference subtraction, avidity, an off-rate at the edge of what the instrument resolves, or simply a bad protein. You'll be that person, on the call, sharing your screen, walking through sensorgrams.

What you need

MSc / PhD in biochemistry, biophysics, or a relevant field, plus 3+ years working hands-on with binding kinetics.
Deep SPR and BLI experience. Biacore, Carterra, Octet, Gator: the platform matters less than the fact that you've run these assays, troubleshot them, and interpreted a lot of data from them. You've seen enough sensorgrams to know immediately when one is lying to you.
Real fitting judgment. 1:1 vs. bivalent, when steady-state is appropriate and when it isn't, how mass transport and avidity distort a result. You can defend a Kd, or refuse to report one.
Strong data analysis skills. Python or R, enough to pull a few hundred results out of a database, fit them, plot them, and find the outliers. This role generates too much data to review by hand.
You use AI tools seriously. We run on Claude Code and similar tooling internally, and the people who get the most done here are the ones who reach for it by default: writing the analysis script, querying the database, building the one-off dashboard. You don't need to have done this before, but you need to want to. If your instinct is that real scientists do it by hand, this isn't the place.
A self-starter who works independently. Nobody is going to hand you a prioritized queue every morning. You'll figure out what matters most, go do it, and tell us what you found.
A fast learner. Our platform, our assays, and our software change constantly. You'll be handed unfamiliar tools and expected to be productive with them quickly.
Startup speed, not academic pace. Experiments ship to paying customers on deadlines. Getting a good answer this week beats a perfect one next quarter, and we'd rather flag an ambiguous result than sit on it.
Comfortable in front of customers. Many are PhD-level scientists at pharma companies and AI labs, and they will push back. You should enjoy that conversation rather than dread it.
Able to explain hard things simply. Some customers are biophysicists. Some are ML researchers who have never touched a pipette. You adjust without condescending to either.
Honest about uncertainty. When the data is ambiguous, you say so, to us and to the customer. We would much rather flag a weak result than ship a confident wrong one.
Familiarity with other biophysical or functional assays (DSF, HPLC, plate-based activity assays) is a plus.

Scientist, Binding Kinetics

The role

Scientist, Binding Kinetics

The role

What you will do

What you need

Details

About Adaptyv

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