Becoming · 20 hours ago
Scientist - Omics Sampling & Perturbation
San Francisco, CA
Full-time
Onsite
Mid, Senior LevelBecoming is building Developmental Intelligence, focusing on the measurement and perturbation of mammalian development using data and AI. This role involves executing and evolving wet-lab omics and perturbation workflows to make development measurable and model-ready.
Computer Software
Responsibilities
Own hands-on sampling for multimodal omics experiments across developmental timepoints, perturbations, and conditions
Perform cell, tissue, and organoid harvesting with protocols optimized to preserve transcriptional, epigenetic, metabolic, and lipid state
Execute and optimize wet-lab workflows for:
+ Transcriptomics: bulk RNA-seq, scRNA-seq / snRNA-seq, spatial transcriptomics
+ Epigenomics: ATAC-seq (bulk and/or single-cell), CUT&Tag / CUT&RUN
+ Metabolomics: targeted and/or untargeted metabolite extraction
+ Lipidomics: lipid extraction and stabilization
+ Protein & signaling readouts: targeted proteomics, secreted factors
+ Hormonal panels: steroid and peptide hormones relevant to pregnancy
+ Immune-focused assays: sampling for immune profiling where relevant
Prepare high-quality libraries and extracts, manage batching and indexing, and maintain full traceability from sample → data
Design and execute controlled perturbation experiments (genetic, chemical, metabolic) coupled to single-cell readouts
Perform Perturb-seq / pooled perturbation experiments, including guide delivery, perturbation timing, and integration with scRNA-seq or multiome assays
Define perturbation dosage and timing to probe causal control points in developmental trajectories, not just endpoint phenotypes
Design and execute rapid quenching, extraction, and storage protocols to preserve true metabolic and lipid state
Optimize solvent systems, internal standards, and handling procedures
Coordinate with internal or external mass-spectrometry platforms to ensure sample prep aligns with analytical requirements
Own wet-lab QC for metabolomics and lipidomics samples
Work with developmental biology, perfusion, and hardware teams to define when and how samples must be taken to preserve biological signal
Make real-time experimental decisions when tradeoffs arise (e.g. viability vs yield, temporal resolution vs destructiveness)
Optimize workflows for longitudinal and repeated sampling, not just static endpoints
Own sample tracking, metadata, and provenance (timepoint, lineage, perturbation, replicate structure)
Perform wet-lab QC across modalities (viability, RNA integrity, extraction efficiency, batch effects)
Identify and troubleshoot failure modes early, before data reach downstream analysis
Deliver clean, well-annotated samples and raw data to computational and modeling teams
Provide biological context for interpreting QC failures or unexpected signals
Collaborate closely with bioinformatics and ML teams to ensure experiments generate data usable for longitudinal and multimodal modeling
Standardize and improve omics and perturbation workflows across programs
Help scale from exploratory experiments to repeatable, production-grade pipelines
Evaluate new kits, chemistries, and methods as the platform evolves
Qualification
Required
PhD or MS with substantial wet-lab experience in molecular biology, developmental biology, stem cells, or related fields
Hands-on experience with omics sample preparation, including transcriptomics and small-molecule extraction
Strong intuition for how experimental handling and perturbation affect downstream biological signal
Comfortable working with living systems under time pressure
Highly organized with sample tracking and documentation
Preferred
Experience with Perturb-seq, CROP-seq, or CRISPR-based pooled perturbation experiments
Direct experience with metabolomics and/or lipidomics sample prep
Experience with single-cell, spatial, or epigenomic assays
Background in developmental biology, stem cells, organoids, or perfused systems
Familiarity with basic downstream QC or analysis (without owning pipelines)
Experience interfacing with mass-spectrometry platforms
Benefits
Competitive salary and meaningful equity
Full benefits
High-trust, high-ownership environment
Rapid growth in scope and responsibility
Company
Becoming
Developmental Intelligence: AI for predicting how organisms change over time.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase