--- title: 'ADME/DMPK Scientist at Boltz' canonical: 'https://feeny.ai/job/adme-dmpk-scientist-boltz-london-2kbrygkxpkqa' type: 'job' last_seen: '2026-09-13' --- # ADME/DMPK Scientist at Boltz - **Company:** Boltz - **Location:** London, United Kingdom - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-08-12 - **Last confirmed live:** 2026-09-13 - **Apply:** https://jobs.gem.com/boltz/am9icG9zdDr50g-B65LiJ4rqXVRlprJU ## Job description ## About Boltz Boltz is a public benefit company building the next generation of AI-powered molecular modeling tools to make biology programmable and accelerate drug discovery, while keeping frontier capabilities broadly accessible. Boltz-1, Boltz-2, and BoltzGen are open models trusted by 100,000+ scientists across biotech and academia, and used in programs at every Top 20 pharma as well as leading agrichemical and industrial research organizations. We deliver these capabilities through Boltz Lab, our platform for running our latest models and design agents as reliable, production-grade tools. Boltz Lab is designed around real chemistry and biology workflows, so teams can start from a target and a hypothesis and quickly generate, evaluate, and rank candidate molecules. We provide the compute, the scalable infrastructure, and the collaboration layer, so scientists can iterate faster and stay focused. You can read more about our mission, research and product vision on our manifesto: https://boltz.bio/manifesto ## About the role As an ADME/DMPK Researcher, you will work to expand the property prediction layer of Boltz Lab, bringing deep insight into how our models are trained, evaluated, and used by medicinal chemists. Cofolding has changed how scientists think about structure, yet we believe ADME property prediction has not yet had its equivalent moment. You will be the person who guides, for our ADME and DMPK models, data we generate, what we can acquire from public and proprietary sources, and how we curate + standardise the data. You will work closely with our wider Research and ML team to build and validate ADME/DMPK models, defining meaningful objectives, defining outputs, and diagnosing failure modes when predictions and experiments disagree. You will lead data generation and sourcing campaigns, and you will ensure the highest quality of assay provenance and data quality. Your work will directly shape how property prediction integrates with generative design across all Boltz products, and ensure that our ADME and DMPK prediction models function for all stages of pre-clinical development work. This role is ideal for a scientist who wants to extend their impact beyond individual programs. You will guide scientific direction while remaining hands-on, with ML engineering support available for anything that needs to reach production. You will be an experienced ADME/DMPK scientist who generates and analyzes ADME and DMPK data on real drug discovery programs. Demonstrating a deep knowledge and  understanding of the underlying principles behind the data and science is essential. You should want to apply your expertise in ADME and DMPK beyond the limits of a traditional drug discovery setting. We are not looking for a machine learning scientist, and you do not need to have trained a model. ## About you Essentials - PhD or equivalent, with 5+ years industry experience in DMPK, pharmaceutical sciences, bioanalysis, medicinal chemistry, or a closely related field. - Strong hands-on experience owning ADME optimization on real drug discovery programs, with expert knowledge of Tier 1 and Tier 2 in vitro assays and their limitations. - Demonstrated depth in ADME and DMPK data, including protocol differences between laboratories, nuances in assay variation, and when to question assay outputs. - Experience specifying and overseeing assay work with CROs or internal laboratories, including protocol design. - Ability to work across disciplines, translating ADME/DMPK insights into clear modeling objectives and evaluation criteria, and translating model behavior back into actionable decisions. - Product-minded scientific thinking, with the ability to influence platform design and roadmap decisions based on real user needs. - Strong communication skills. ## Nice to have - Experience curating bioactivity data alongside ADME endpoints - binding and functional assays, potency measures that are not interchangeable, and the judgment to know what can be pooled and what cannot. - Strong operational experience in scientific data acquisition, including identifying relevant public, commercial, and proprietary datasets; engaging with data providers and CROs; evaluating dataset quality and fit-for-purpose; and driving acquisition, transfer, and integration through to a usable internal dataset. - In vivo PK, PKPD modeling, IVIVE, or human dose prediction. ## What we offer - Opportunity to drive outsized real-world impact by building tools that empower thousands of scientists across the industry. - Work alongside one of the most talent-dense teams in the field. - Significant ownership and independence, with responsibility for driving projects from concept to deployment. - Highly competitive salary with substantial equity ownership. ## About Boltz ## Company Overview - **One-liner**: Boltz builds foundational AI models and a platform for biomolecular modeling and design, enabling scientists to engineer proteins and small molecules for drug discovery. - **Entity Type**: Private (Seed stage; raised $28M) - **Headquarters**: London, United Kingdom (also has an office in Boston, Massachusetts, USA) - **Founded**: 2025 - **Founders**: Not publicly available (the company originated from research at MIT) ## Core Business - **Primary industry/industries**: Artificial intelligence for biology and chemistry; biotechnology research - **Target customers**: B2B – pharmaceutical companies (including all top 20 pharma), biotech startups, academic labs, and individual scientists - **Mission or purpose statement**: To advance the frontier of AI capabilities in biology through open science and make them universally accessible to every scientist working toward a healthier, more sustainable future. Boltz is a Public Benefit Corporation (PBC). ## Products & Services - **Boltz-1 / Boltz-1x**: Open-source structure prediction models approaching AlphaFold3-level accuracy; commercially usable under a permissive license. - **Boltz-2**: Frontier structure prediction model that pushes binding affinity prediction to unprecedented accuracy using large-scale supervision. - **BoltzGen**: A protein design model and agent capable of generating binders to arbitrary targets, validated across diverse modalities, targets, and assays. - **Boltz Lab**: A cloud platform (in beta) providing hosted compute, agentic workflows for small-molecule discovery and protein design, collaborative interfaces, and enterprise deployments (multi-tenant, single-tenant, or on-premise). SOC 2 Type 1 verified. Usage-based pricing with generous free tiers. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: $28M in total seed funding (1 prior round) - **Notable Investors/Partners**: Amplify, a16z, Zetta (co-leads); angel investors include Clement Delangue (CEO of Hugging Face), Factorial Capital, Obvious Ventures. **Key partnership**: multi-year agreement with Pfizer to deploy Boltz Lab across the company and co-develop new foundation models. - **Growth Signals**: 5M+ downloads, 100k+ scientists using the models, adoption by all top 20 pharma companies and thousands of biotechs. Rapidly expanding team (hiring research engineers, software engineers, product designers, protein engineers). ## Competitive Advantages - **Open‑source foundation**: Permissively licensed models (Boltz-1, Boltz-1x) that have been validated by the community, lowering the barrier to entry and building trust. - **Performance and cost**: Claims the lowest price per unit of any major provider in the space; optimized models reduce compute costs. - **IP protection**: Customers own their outputs, data stays secure, and Boltz does not train on customer data. Offers on-premise deployment for sensitive work. - **Public Benefit Corporation**: Mission‑aligned structure that explicitly avoids competing with customers (Boltz does not develop drugs itself). ## Strategic Focus - **Three pillars**: Research (understand and reprogram biology from the bottom up), Product (put powerful AI into scientists’ hands via agentic workflows and eventually autonomous labs), Community (open science and broad accessibility). - **Current priorities**: Expanding the Boltz Lab platform, fine‑tuning models on proprietary customer data, building agents for new modalities, and scaling enterprise partnerships. ## Why Work Here - **Culture**: Mission‑driven, open‑science ethos with a strong emphasis on research excellence and product impact. The team is lean (~17 employees as of early 2026) and growing. - **Remote/Hybrid**: Not explicitly stated; locations include London (HQ) and Boston. Likely flexible given the global team (employees in UK, US, Netherlands, Switzerland). - **Notable perks**: Opportunity to work on frontier AI models used by 100k+ scientists; direct collaboration with top pharma; usage‑based pricing aligns with customer success; public‑benefit status ensures long‑term mission alignment. - **Engineering culture**: Heavy focus on research engineering, software engineering, and product design. Looking for protein engineers with preclinical experience to shape the product roadmap. ## Sources 1. [boltz.bio](https://boltz.bio/) 2. [boltz.bio/manifesto](https://boltz.bio/manifesto) 3. [boltz.bio/launch](https://boltz.bio/launch) 4. [linkedin.com/company/boltz-bio](https://linkedin.com/company/boltz-bio) 5. [cbinsights.com/company/boltz](https://www.cbinsights.com/company/boltz) ## Other roles at Boltz - [Head of Partnerships & Developer Relations](https://feeny.ai/job/head-of-partnerships-developer-relations-boltz-london-081mbxkz1s8j) — London, United Kingdom - [Head of Community & Growth Marketing](https://feeny.ai/job/head-of-community-growth-marketing-boltz-london-qg7fj0at6fck) — London, United Kingdom - [Head of Commercial](https://feeny.ai/job/head-of-commercial-boltz-london-ve3f87293d6n) — London, United Kingdom - [Community Lead](https://feeny.ai/job/community-lead-boltz-london-jgcrvj9gp234) — London, United Kingdom - [Chief of Staff](https://feeny.ai/job/chief-of-staff-boltz-london-6c3rp0gwc86d) — London, United Kingdom - [Computational Biologist](https://feeny.ai/job/computational-biologist-boltz-london-ywq0h6gna1qr) — London, United Kingdom - [Small Molecule Computational Scientist](https://feeny.ai/job/small-molecule-computational-scientist-boltz-london-j7jz1gjm25xq) — London, United Kingdom - [Applied ML Engineer/Scientist](https://feeny.ai/job/applied-ml-engineer-scientist-boltz-london-44f5ptd2dtpd) — London, United Kingdom - [Product Designer](https://feeny.ai/job/product-designer-boltz-london-c47gnt2jtexf) — London, United Kingdom - [Software Engineer, Product](https://feeny.ai/job/software-engineer-product-boltz-london-ahzffabh70an) — London, United Kingdom