---
title: '(Contract) Research Technician, Pre-clinical Pharmacology at Manifold Bio'
canonical: 'https://feeny.ai/job/contract-research-technician-pre-clinical-pharmacology-manifold-bio-boston-w1sedywb9a2k'
type: 'job'
last_seen: '2026-10-18'
---

# (Contract) Research Technician, Pre-clinical Pharmacology at Manifold Bio

- **Company:** Manifold Bio
- **Location:** Boston, MA
- **Posted:** 2026-10-16
- **Last confirmed live:** 2026-10-18
- **Apply:** https://job-boards.greenhouse.io/manifoldbio/jobs/5267706007

## Job description

Contract length: 12 months

Compensation: $30-$35/hour

Hours: 40 hours/week

Location: On-site 5 days/week in Boston (Fenway Area)

Manifold Bio is a platform biotechnology company pioneering AI-guided protein design and massively multiplexed in vivo screening to unlock tissue-targeted medicines and organism-scale models of living systems. Using proprietary molecular barcoding technology, we screen hundreds of thousands of protein designs simultaneously in living systems, producing in vivo-validated datasets at a scale no one else can match. The datasets power our computational models, which leads to better drug designs, creating a flywheel that gets stronger with every campaign. Our team of protein engineers, biologists, and computational scientists works across this full stack to pursue programs both internally and with leading pharma companies.

Position

Manifold Bio is looking for an organized, motivated In-Vivo Research Technician to join our pharmacology team on a one-year contract. You will work alongside experienced researchers to prepare for and execute mouse studies supporting our internal drug discovery programs. This role is deliberately structured around training and growth. We are looking for someone with excellent organizational instincts, and genuine enthusiasm for learning the rest. Dosing routes, blood collection, necropsy and tissue processing can all be taught, and we are committed to teaching them. For the right person, this contract is intended as a path toward a permanent Research Associate position.

Required Qualifications

- Prepare and label tubes, cages and collection supplies ahead of each study
- Set up procedure rooms for dosing days and takedowns
- Hands-on experience with animal handling, including the ability to confidently scruff a mouse
- Comfort working with laboratory animals in a vivarium environment
- Tattoo and tail-mark mice; prepare and organize study cages
- Weigh animals and record data accurately
- Maintain study records in Benchling
- Help maintain lab and vivarium inventories
- Support necropsy and tissue collection (training provided)
- Process collected samples, primarily serum
- As time allows, assist with tissue weighing and lysis for downstream analysis
- Strong organizational skills and attention to detail
- Ability to follow written protocols and SOPs accurately
- A proactive approach — someone who plans ahead rather than reacting
- Genuine enthusiasm for learning new techniques, and a collaborative, team-first attitude

## Preferred Qualifications

- Hands-on experience with animal handling, including the ability to confidently scruff a mouse
- Experience with SC, IV or PO dosing
- Submental blood collection
- Necropsy and tissue dissection
- Tissue lysis, nucleic acid extraction or other basic bench techniques
- Familiarity with Benchling or similar electronic lab notebooks

We value different experiences and ways of thinking and believe the most talented teams are built by bringing together people of diverse cultures, genders, and backgrounds.

## About Manifold Bio

## Company Overview
- **One-liner**: Manifold Bio is a platform therapeutics company building the first AI-guided direct-to-vivo discovery platform to design tissue-targeted biologics.
- **Entity Type**: Private (Series A)
- **Headquarters**: Boston, Massachusetts, United States
- **Founded**: 2019
- **Founders**: Gleb Kuznetsov (CEO), Pierce Ogden (CTO), Shane Lofgren (Head of Business Development)

## Core Business
- **Primary industries**: Biotechnology, Drug Discovery, Artificial Intelligence for Protein Design
- **Target customers**: B2B – large pharmaceutical companies (via partnerships and collaborations) and internal pipeline for novel therapeutics
- **Mission or purpose statement**: “Tissue-targeted medicines, designed in vivo” – building a predictive model of living systems to enable rational design of biologics that precisely reach intended tissues.

## Products & Services
- **mDesign Engine**: Integrated platform combining AI-guided protein design with massively multiplexed in vivo screening to measure pharmacokinetics, biodistribution, and target engagement directly in living systems.
- **mCodes**: Multiplexed protein barcodes decoded via NGS, enabling high-throughput tracking of millions of protein variants in a single experiment.
- **mShuttle Portfolio**: Modular library of brain shuttles engineered and optimized in vivo to deliver payloads across the blood-brain barrier with high specificity and exposure.
- **mBER**: Open-sourced AI model for designing epitope-specific antibodies, validated in million-scale experiments. (SaaS/model, not a product per se)
- **Internal Pipeline**: Tissue-targeted biologic candidates for Alzheimer’s disease, Parkinson’s disease, rare CNS diseases, and cardiometabolic disease.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Total Funding**: $78.18M (CBInsights) / $61.4M (Apollo.io) – conflicting reports; latest available data shows multiple rounds including a $15M Series A in April 2024.
- **Notable Investors/Partners**: Playground Global, Fifty Years, Amazon Web Services, and a strategic collaboration with Roche announced in November 2025.
- **Growth Signals**: Headcount grew 58.1% YoY to 54 employees; published a joint study with NVIDIA validating million-scale AI-driven protein binder design; active job postings up 100% monthly.

## Competitive Advantages
- **Direct-to-vivo platform**: Unlike most AI-driven drug discovery companies that rely on in vitro data, Manifold tests protein designs directly in living systems, capturing physiologically relevant properties like PK, biodistribution, and toxicity.
- **Massively multiplexed experimentation**: Proprietary molecular tracking (mCodes) enables simultaneous testing of millions of protein variants against hundreds of targets, closing the loop between generative AI design and experimental validation at scale.
- **High-profile collaborations**: The Roche partnership and NVIDIA validation provide external credibility and access to industry-leading resources.

## Strategic Focus
- **Expanding tissue-specific delivery**: Starting with brain (CNS) through mShuttle, then moving to peripheral tissues (adipose, cardiometabolic).
- **Building the “virtual organism”**: Integrating high-throughput in vivo data to train a predictive model of how biomolecules behave in the body, enabling fully rational design.
- **Deepening pharma partnerships**: Leveraging platform capabilities to co-develop next-generation biologics with partners like Roche.
- **Open-sourcing AI models**: Releasing mBER and other tools to attract talent, drive adoption, and set industry standards.

## Why Work Here
- **Culture**: Flat, science-driven organization where ML engineers, computational biologists, and wet-lab scientists collaborate closely. Emphasis on “hybrid computational/wet lab science” and library-guided design.
- **Growth trajectory**: 58% employee growth YoY, active hiring across AI/ML, protein engineering, biology, and operations – signals rapid scaling.
- **Work environment**: Boston-based (Seaport area), likely office-first with some flexibility; job postings don’t mention remote but roles are Boston-listed.
- **Notable perks**: Opportunity to work at the frontier of AI + biology, access to cutting-edge wet lab infrastructure, and direct impact on pipeline decisions from early discovery through IND-enabling studies.

## Sources
1. [manifold.bio](https://www.manifold.bio/) (Company website)
2. [linkedin.com](https://www.linkedin.com/company/manifold-bio) (LinkedIn company page)
3. [cbinsights.com](https://www.cbinsights.com/company/manifold-bio) (CBInsights profile)
4. [boards.greenhouse.io](http://job-boards.greenhouse.io/manifoldbio) (Careers page)
5. [manifold.bio/news](https://www.manifold.bio/news) (News – Roche collaboration, NVIDIA study)
6. [apollo.io](https://www.apollo.io/companies/Manifold-Bio) (Apollo.io revenue/funding data)

## Other roles at Manifold Bio

- [Associate Scientist/Senior Associate Scientist, In Vivo Pharmacology – Study Coordinator](https://feeny.ai/job/associate-scientist-senior-associate-scientist-in-vivo-pharmacology-study-3ptd3fq79378) — Boston, MA
- [Computational Scientist, Assay Development](https://feeny.ai/job/computational-scientist-assay-development-manifold-bio-boston-4qvj0atdygfs) — Boston, MA
- [Product Manager, AI Platform & Partnerships](https://feeny.ai/job/product-manager-ai-platform-partnerships-manifold-bio-boston-pghg83twvq9t) — Boston, MA / San Francisco, CA
- [AI/ML Research Engineer](https://feeny.ai/job/ai-ml-research-engineer-manifold-bio-boston-ma-or-san-francisco-0qe65tmrvvjb) — Boston MA OR San Francisco, CA
- [Scientist, cDNA Display](https://feeny.ai/job/scientist-cdna-display-manifold-bio-boston-k20s594tsp1s) — Boston, MA
- [Director, Oligo Team Lead](https://feeny.ai/job/director-oligo-team-lead-manifold-bio-boston-fx7psa85j698) — Boston, MA