Back to search
We're seeking a Member of Technical Staff for Data Collection & Research to own how Latch sources and curates data.
About us
Latch is an applied AI research lab for computational biology. Our mission is to help humanity understand biology and disease.
Our team started building software for biology. Today, we are trusted by 25,000 scientists to handle DNA, RNA, Proteins, and Spatial data.
As intelligent start models eat the world of computational biology, Latch sits at the intersection of agent engineering, biological data, and the distribution of this intelligence.
About the role
Seeking a member of technical staff, data partnerships, to work with biotechs, CROs, and clearinghouses to source and generate unique, high-value datasets. The data you generate will train agents on real-world R&D tasks. You will own scoping of use cases and the data curation strategy under three verticals: multi-omics, therapeutics, biosecurity.
What You'll Do
Build partnerships with data vendors, institutions, and labs, and secure access to proprietary data
Craft high-quality, differentiated datasets that support upcoming biology benchmarks
Source clinical and molecular datasets directly from institutions and research groups
Creatively assemble and package public data (patents, publications, molecular atlases, clinical trials, etc.) into meaningful and realistic biological analysis tasks.
Use bioinformatics tools to process raw datasets into useful, benchmark-ready formats.
Work ahead of the benches, staging data before it is needed rather than after
Requirements
3-5+ years working hands-on with biological or biomedical data.
A track record of finding non-obvious, omics or therapeutics data sources at scale.
Fluency with primary literature and patent search, and the judgment to assess data quality
Strong communicator.
Competencies
Partner mindset - You can manage relationships with many parties/vendors at once.
Product - Skilled at scoping scientific use cases and building partnerships with vendors or clearinghouses.
Curation Experience - You have curated omics or therapeutics data at scale before.
Knowledge - You know where the data actually lives.
Depth - You have biological depth in a related field.
AI - You are resourceful in levering AI tools to build datasets across scientific domains
Experience - 3-5+ years in industry
Nice to Have
Experience negotiating data partnerships or licensing agreements
Experience building datasets for model training or evaluation
Interview advice
Be able to describe in detail a dataset you built from scratch and why it mattered.
Compensation & Logistics
$250-$400k total comp, based on technical depth and experience
Variable compensation + equity + stock options
100% premium covered Blue Shield platinum health plan ($0 deductible / $0 out-of-pocket)
Free meals (lunch and dinner)
Waterfront office in China Basin, San Francisco
Full-time, in-person
Location: San Francisco, CA. In-person.
Learn more about this Employer on their Career Site
