Chapter 7 - The harvest season
The Life Story of a Cell
Every day, it takes me a moment to summon the energy to open the car door.
Just a breath. A pause before stepping out into the world where I have to smile, say hello, pretend everything is fine.
Today, I was lucky. I didn’t run into anyone on the way to the meeting room—except for Bob, a great scientist who was far enough away that I only needed to wave.
Small victories, Yin muttered. You survived the parking lot without social interaction. Gold star.
The meeting was about the 2018 harvest data.
Across North America, our testing stations follow the same rhythm as traditional farmers—beginning in the northern states and moving south with the season. But unlike farmers who harvest corn, soybeans, or cotton, we harvest something invisible: data.
Our field trials are like clinical trials in medicine. Instead of testing new drugs, we test new traits in plants—ensuring the seeds perform well and behave predictably before they ever reach the market. My Decision Science team transforms that raw field data into insight. It’s how we decide which traits advance, which pause, and which end.
You’re not harvesting data, Yin said. You’re harvesting pressure.
He wasn’t wrong.
When I was first considering this role, my mentor Ivan warned me: “It’ll be stressful. Mary worked herself to the edge every harvest season. Maybe that’s why she left.”
At first, I wasn’t planning to apply. My background was in bioinformatics, not product development. I led three teams in Genomics and Data Science. We were upstream—research, discovery. Once a gene was nominated for the pipeline, we rarely looked back.
Then came Tom, a member of the Plant Biotech Leadership Team. He personally encouraged me to apply—what we call a “tap on the shoulder.”
The first time I’d been tapped, I said no.
This time, I said yes.
And now you’re the one tapping yourself awake at 2 a.m., Yin grumbled.
The job has been everything Ivan warned about. Mother Nature doesn’t wait. You can’t harvest on wet days, and you can’t delay either. Data pours in at a relentless pace, and my team races to analyze it before the next batch arrives.
Errors are costly. Decisions must be sound. Seeds must be ready to generate the next generation.
Fortunately, I have an extraordinary team—statisticians and data scientists who perform miracles with limited time and fewer resources.
The challenge isn’t just the work; it’s the cycle. During harvest, we’re drowning. During the off-season, we’re starving. Skilled people hate idleness as much as overwork. Too much stress burns you out; too little meaning hollows you out.
Even cells know that, Yin said. Cece-40 would call it apoptosis.
Cece-40’s voice flickered faintly in my mind.
“Harvest season,” she whispered. “In our world, that’s when old cells make way for new. It’s painful, but necessary.”
I glanced at the spreadsheet on my laptop, rows of numbers from test plots stretching across states. Each number represented a seed, a trial, a life cycle.
Maybe she was right.
Maybe harvest is never just about reaping—it’s about release.