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Manifold Bio Tech Stack

In vivo screening engine for tissue-targeted biologics discovery

Biotechnology Research Boston, Massachusetts 11–50 employees Privately Held

Manifold Bio runs a high-throughput in vivo screening platform paired with AI-powered design, using Python, PyTorch, JAX, and AWS to process terabytes of sequencing data (Illumina, Oxford Nanopore) from live-animal experiments. The research-heavy staffing (8 of 11 hires) with senior/director seniority reflects a stage where they're transitioning from discovery into early clinical development—projects span developability assessment, RNA-seq analytics, and lead candidate pipeline advancement. Active pain points around manufacturing scale and moving candidates toward the clinic signal they're solving for translation velocity, not just assay throughput.

Tech Stack 11 technologies

Core StackPython AWS Greenhouse PyTorch Illumina Oxford Nanopore RT-qPCR SDS-PAGE Google Workspace AlphaFold JAX

What Manifold Bio Is Building

◆Challenges

Transition from discovery to clinical stage
Scaling biologics manufacturing
De-risking lead molecules
Transitioning from early discovery to early clinical development
Managing critical path activities
Managing terabytes of raw data
Scaling workflows onto aws
Scaling hr during rapid growth
Scaling foundation model capabilities
Improving binder design success rates

▲Active Projects

Developability assessment strategy
Integration into mber
Novel multispecific antibody drug formats
R&d-to-development pipeline for lead candidates
Tissue-targeted therapeutic program development
Early clinical testing
Dna barcode sequence counting algorithms
Rna-seq and scrna-seq projects
Whole genome sequence projects
Oligonucleotide shuttling platform development

Hiring Activity

Steady10 roles · 4 in 30d

Department

Research

8

Engineering

2

HR

1

Seniority

Senior

5

Director

2

Lead

2

Mid

2

Notable leadership hires: Project Lead, Oligo Team Lead, Biotherapeutics Director

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About Manifold Bio

Manifold Bio designs tissue-targeted biologics using an in vivo discovery engine that combines massively multiplexed screening in living systems with machine learning. The company's core innovation is sculpting pharmacokinetics and biodistribution properties of biologics directly in animal models, generating rich datasets to train AI models for therapeutic design. Located in Boston, the 11–50-person team operates across research, engineering, and leadership functions. Current work spans early-stage programs (novel antibody formats, oligonucleotide platforms) through early clinical testing, with active scaling challenges in manufacturing, data infrastructure (AWS workflows), and transition management from discovery to development.

HeadquartersBoston, Massachusetts

Company Size11–50 employees

Hiring MarketsUnited States

Frequently Asked Questions

What sequencing and biotech equipment does Manifold Bio use?

Illumina and Oxford Nanopore for sequencing; RT-qPCR and SDS-PAGE for protein characterization. Computational work relies on Python, PyTorch, JAX, and AWS for handling terabyte-scale datasets.

What stage are Manifold Bio's drug programs in?

Programs span early discovery through early clinical testing. Active projects include developability assessment, tissue-targeted therapeutic program development, and R&D-to-development pipeline work for lead candidates.