Patients set the direction
Patient need creates urgency, but sustainable work is essential. A depleted team cannot produce trustworthy science.
This is the operating philosophy behind KritRNA: ambitious, evidence-led and deliberately inclusive. It explains how we intend to decide, hire, protect the science and treat the people doing the work.
We are building engineered suppressor-tRNA systems for selected nonsense-mutation contexts, supported by two computational engines and an eventual wet-lab data flywheel.
Patient need creates urgency, but sustainable work is essential. A depleted team cannot produce trustworthy science.
Experiments outrank narratives. Data quality, provenance and experimental design are first-class work.
We reason from molecular biology, translation mechanics and evidence rather than copying fashionable playbooks.
Novel sequences, scoring logic and Engine 01 details remain controlled until the appropriate IP step is complete.
We prefer non-dilutive funding and evidence-gated spending so runway and scientific independence compound.
At founding stage, responsibility is measured by results rather than narrow task boundaries.
High standards do not require routine exhaustion. The intended culture protects focus, dignity, health and growth.
Roughly eight hours a day and forty hours a week is the norm. Deadline exceptions must not become the culture.
Late-night and day-off replies are not expected except for a genuine operational emergency.
Leave, illness, family responsibilities and recovery are treated as normal parts of a sustainable career.
Learning, courses, conferences, books, writing and adjacent skills should receive protected time and a real budget as the company becomes able to fund them.
Stage, role, cash constraints, ownership and risk should be discussed honestly rather than hidden behind negotiation theatre.
Company systems should protect people and IP, not monitor employees for its own sake.
No discrimination based on race, ethnicity, national or regional origin, caste, religion or belief, gender, gender identity, sexual orientation, disability, age, language, marital status or family status. No segregation, harassment or demeaning conduct—regardless of seniority.
What you can learn, build and own matters more than where you studied or how polished your résumé appears.
The hardest problems sit between machine learning and molecular biology. Curiosity across that boundary is essential.
“I do not know” and “the data changed my mind” are strengths.
A focused conversation, a paid work sample where appropriate and a direct discussion of mission, terms and expectations.
The people joining now will define what Transloka Bio becomes.