Inductive Bio jobs

Upcoming Roles at Inductive Bio New York City, San Francisco, or Boston, United States At Inductive Bio we're tackling the challenge of making drug discovery more efficient. Scientists spend countless hours combining data, expertise, and intuition to create new molecules that are effective, safe, and work well in the human body. It's a slow, complex process, and the patients are the ones left waiting. At Inductive Bio, we're building an intuitive, collaborative platform, powered by state-of-the-art AI to help accelerate this process. Our platform is already being used on dozens of active drug discovery programs, and adoption is rapidly growing. We are backed by leading investors at the intersection of technology and biotechnology, and our team includes world-class technology and drug discovery experts At Inductive Bio we're tackling the challenge of making drug discovery more efficient. Scientists spend countless hours combining data, expertise, and intuition to create new molecules that are effective, safe, and work well in the human body. It's a slow, complex process, and the patients are the ones left waiting. At Inductive Bio, we're building an intuitive, collaborative platform, powered by state-of-the-art AI to help accelerate this process. Our platform is already being used on dozens of active drug discovery programs, and adoption is rapidly growing. We are backed by leading investors at the intersection of technology and biotechnology, and our team includes world-class technology and drug discovery experts Don't see a role that's quite the right fit, but excited about what we're building? We'd still love

Product Scientist New York City, San Francisco, or Boston, United States Inductive Bio is an AI medicinal chemistry partner. We build virtual labs that help drug discovery teams make better decisions, faster, across the full DMTA cycle. Our platform includes Beacon-1 ADMET prediction models, human dose projection tools, and Indy, an AI medicinal chemistry assistant. Through a partnership with Enamine, we also offer library synthesis and direct-to-dose testing, closing the loop from computational design to experimental validation. Together, these power dozens of small molecule and beyond-rule-of-five programs for biotech and pharma partners. Beacon-1 placed 1st in both the 2025 Polaris and 2026 OpenADMET-ExpansionRx blind competitions, ahead of Merck & Co + NVIDIA and EMD Serono. We've raised $30M from Obvious Ventures, a16z Bio + Health, and Lux Capital, and were selected for a $21M ARPA-H CATALYST award to develop next-generation toxicity models. This is a remote-friendly role, but we give bonus points to candidates located in Boston, New York, or San Francisco where we have physical offices. While we are flexible on time zone for primary working hours, this role requires availability for external meetings that frequently occur during Eastern Time business hours. The Role We're seeking a seasoned computational or medicinal chemist to join the Product Science team as a Product Scientist . You'll be the primary Inductive scientific lead on partner programs, applying your med chem, comp chem, and DMPK expertise to real molecular optimization problems with a focus on dose-centric optimization. You'll work across a wide range

Toxicologist (Consultant) New York City, San Francisco, or Boston, United States Inductive Bio is an AI drug discovery partner. We build virtual labs that help drug discovery teams make better decisions, faster, across the full DMTA cycle. Our platform includes Beacon-1 ADMET prediction models, human dose projection tools, and Indy, an AI medicinal chemistry assistant. Through partnerships with CROs, we also offer innovative synthesis approaches, direct-to-dose testing, and cost-effective tier 1 ADME panels that enable initial human PK projection, closing the loop from computational design to experimental validation. Together, these power dozens of small molecule and beyond-rule-of-five programs for biotech and pharma partners. Beacon-1 placed 1st in both the 2025 Polaris and 2026 OpenADMET-ExpansionRx blind competitions, ahead of Merck & Co + NVIDIA and EMD Serono. We've raised $30M from Obvious Ventures, a16z Bio + Health, and Lux Capital, and were selected for a $21M ARPA-H CATALYST award to develop next-generation toxicity models. We are seeking a senior Toxicologist with 10-15+ years of industry experience to join our cross functional team and help launch and scale our toxicology product offerings. This is a consulting position with a minimum of 5-10 hours/week initially with the potential to scale up. You'll work directly with partner teams to guide safety strategy for drug programs, shape the design and scientific underpinnings of our AI-powered ADME-Tox software to help you do toxicology work more efficiently, and ultimately help accelerate drug discovery across numerous drug development programs. What you'll do: - Launch and run our AI-enabled

Medicinal Chemist New York City, San Francisco, or Boston, United States Inductive Bio is an AI medicinal chemistry partner . We build virtual labs that help drug discovery teams make better decisions, faster, across the full DMTA cycle. Our platform includes Beacon-1 ADMET prediction models, human dose projection tools, and Indy, an AI medicinal chemistry assistant. Through partnerships with CROs, we also offer innovative synthesis approaches, direct-to-dose testing, and cost-effective tier 1 ADME panels that enable initial human PK projection, closing the loop from computational design to experimental validation. Together, these power dozens of small molecule and beyond-rule-of-five programs for biotech and pharma partners. Beacon-1 placed 1st in both the 2025 Polaris and 2026 OpenADMET-ExpansionRx blind competitions, ahead of Merck & Co + NVIDIA and EMD Serono. We've raised $30M from Obvious Ventures, a16z Bio + Health, and Lux Capital, and were selected for a $21M ARPA-H CATALYST award to develop next-generation toxicity models. We are seeking an accomplished Medicinal Chemist to play a key role in building an AI-forward drug discovery platform that impacts all stages of the Design-Make-Test-Analyze cycle, and deploy that platform to dozens of programs across the industry! This role will report directly to our Head of Medicinal Chemistry. What you'll do: - Be an embedded expert, supporting a variety of partner drug discovery programs from lead generation through development candidate nomination across diverse small molecule modalities. - Alongside outstanding compchem, DMPK, and machine learning colleagues, bring Inductive's tools and your medchem knowledge to our work

Growth Marketer New York City, San Francisco, or Boston, United States At Inductive Bio we're tackling the challenge of making drug discovery more efficient. Chemists spend countless hours combining data, expertise, and intuition to create new molecules that are effective, safe, and work well in the human body. It's a slow, complex process, and the patients are the ones left waiting. At Inductive Bio, we're building an intuitive, collaborative platform, powered by state-of-the-art AI to help accelerate this process. Our platform is already being used on dozens of active drug discovery programs, and adoption is rapidly growing. We are backed by leading investors at the intersection of technology and biotechnology, and our team includes world-class technology and drug discovery experts. After achieving quick adoption via word-of-mouth, we are now seeking to expand our visibility while clearly communicating the value our solution delivers and reinforcing our role as a trusted partner to the biopharma industry. We are seeking a Growth Marketer to generate qualified sales opportunities and amplify the Inductive Bio brand. This is a high-impact, cross-functional role ideal for someone who thrives in a fast-paced environment, building from the ground up, and iterating quickly based on data and feedback. This role will report directly to the Vice President of Partnerships. What you'll do: - Identify, curate, and prioritize companies that align with Inductive Bio's ideal customer profile to ensure consistent generation of qualified sales opportunities - Collaborate with Sales and the cofounders to maximize the impact of Inductive Bio's expert

Partnerships Lead New York City, San Francisco, or Boston, United States At Inductive Bio, we're helping drug hunters find better medicines, faster, through our virtual lab and AI-enabled synthesis and testing approach. Chemists have historically relied on slow, resource-intensive design-make-test-analyze (DMTA) cycles to find molecules that are effective, safe, and viable in the human body. We're changing that with our state-of-the-art AI platform that makes every DMTA cycle as efficient and impactful as possible. Our ADMET/PK models have placed first in the world's largest AI drug discovery competition for ADMET benchmarks two years running. Most recently, outperforming 370+ submissions, including Merck + NVIDIA, and EMD Serono. We are backed by leading investors at the intersection of technology and biotechnology, and our team includes world-class technology and drug discovery experts. We've partnered with dozens of biopharma companies to expedite their highest priority drug programs. To meet the rapidly growing demand, we need to expand our go-to-market team with high performing individuals. We are seeking a Partnerships Lead to drive adoption of our platform, shape tailored solutions for our customers, and own the full sales cycle. You'll play a key role in expanding our commercial footprint while helping refine our go-to-market strategy. What you'll do: - Own the full-cycle sales for Inductive's virtual lab software and AI-enabled discovery services offerings, delivering revenue and a consultative buyer experience from outreach to close - Build and manage a pipeline through networking, targeted outbound efforts, and participation in industry events and conferences - Earn the

Partner Success New York City, San Francisco, or Boston, United States At Inductive Bio, we're helping drug hunters find better medicines, faster, through our virtual lab and AI-enabled synthesis and testing approach. Chemists have historically relied on slow, resource-intensive design-make-test-analyze (DMTA) cycles to find molecules that are effective, safe, and viable in the human body. We're changing that with our state-of-the-art AI platform that makes every DMTA cycle as efficient and impactful as possible. Our ADMET/PK models have placed first in the world's largest AI drug discovery competition for ADMET benchmarks two years running. Most recently, outperforming 370+ submissions, including Merck + NVIDIA, and EMD Serono. We are backed by leading investors at the intersection of technology and biotechnology, and our team includes world-class technology and drug discovery experts. We've partnered with dozens of biopharma companies to expedite their highest priority drug programs. To meet the rapidly growing demand, we need to expand our go-to-market with high performing individuals. At Inductive Bio we're tackling the challenge of making drug discovery more efficient. Chemists spend countless hours combining data, expertise, and intuition to create new molecules that are effective, safe, and work well in the human body. It's a slow, complex process, and the patients are the ones left waiting. At Inductive Bio, we're building an intuitive, collaborative platform, powered by state-of-the-art AI to help accelerate this process. Our platform is already being used on dozens of active drug discovery programs, and adoption is rapidly growing. After achieving quick adoption via

Full Stack Software Engineer New York City, San Francisco, or Boston, United States Drug discovery is a design problem. Chemists spend hours each week combining experimental data with their own intuition to design molecules that they believe will be potent against a biological target, absorb well into the body, and be non-toxic. This effort takes years to succeed and costs millions of dollars - all while patients' needs for new therapeutics go unmet. At Inductive Bio, our goal is to build software that can dramatically improve how molecules are designed. To do so, we are building a Figma-like platform, backed by scalable infrastructure and state-of-the-art AI, that allows the best drug discovery teams in the world to collaborate effectively on this challenging design problem. Our platform is already being used on more than 30 active drug discovery programs, and adoption is rapidly growing. We are backed by leading investors at the intersection of technology and biotechnology, and we are advised by world-class drug discovery experts. We are seeking a full-stack software engineer to join our talented, ambitious, and kind team. You'll have the opportunity to contribute across our stack, from scaling our backend serving and MLOps infrastructure to deploying new features directly into our molecule design UI. You'll wear many hats and have the opportunity to work directly with chemists, ML Engineers, and our users. As an early engineer at a rapidly-growing startup, you'll have the opportunity for high impact while learning and growing with the company. What you'll do:

Foundation and generative models for biomolecules Berlin, Germany or Palo Alto, CA or Zurich, Switzerland At Inceptive, you will drive forward development that could help billions of people. To accomplish this, you will be part of a collaborative, antedisciplinary team building our biological software. The design space of biomolecules is unimaginably vast - far beyond what can be explored experimentally. Yet within this space lie molecules with properties essential for new medicines. Our machine learning models learn to design therapeutic biomolecules with specific, desirable functions. We advance the state of the art in molecular design by training large-scale foundation models and developing cutting edge generative approaches. The models learn from diverse heterogeneous datasets and are refined through focused fine-tuning and feedback from experiments. Key to progress is a team that combines exceptional machine learning expertise with thorough domain understanding. You will collaborate closely with other machine learning researchers and engineers, as well as computational and experimental biologists, to advance these models and translate their capabilities into real therapeutic designs. Your Mission, should you choose to accept it - Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise - Develop, implement, train, and iteratively improve state-of-the-art models for biomolecule design - Analyze, visualize, and communicate results to support team efforts in improving models and data - Create, deploy, and refine tools for efficient, reliable machine learning experimentation and production - Work with biologists to collect data for the training and evaluation

Ejecutivo de Ventas - Concepcion Concepcion-Bio-Bio-Chile posted: Posted 16 Days Ago

Member of the Technical Staff, Molecular Generation New York HQ 🗽 Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. You will lead the design and development of Output's generative models, working across molecular modalities to build systems that produce novel, biologically grounded molecules. This role spans the full arc from research to trained model: you design architectures, develop training approaches, run experiments on distributed GPU clusters, and evaluate results. - You will design and build generative architectures for molecular data spanning multiple modalities, including small molecules, peptides, mini proteins and more - You will develop training approaches that learn from diverse biological signal, ensuring the model composes genuinely novel structures - You will build methods for controllable, targeted generation, enabling the model to produce molecules with specified biological properties while satisfying real-world chemical constraints - You will integrate biological reasoning from our foundation model into the generative pipeline, using learned biological representations to guide and condition generation - You will own training end-to-end:

Consultant, Arc Bio Communications New York, NY, United States of America posted: Posted 30+ Days Ago

BIOS Engineer – Switch Platform (Wireline) Sanchong posted: Posted 21 Days Ago

Member of the Technical Staff, Interpretability New York HQ 🗽 Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. You will continue developing methods to understand what our foundation model learns about biology, and build the tools that make it a glass box model. We believe that in biology, a model's reasoning must be visible. And the features you find are not just explanations: they expand what the model can do. - You will continue developing our methods for probing and reverse-engineering the model's learned representations, understanding how it encodes biological information across molecular scales - You will design and run experiments to identify and characterize capabilities, mapping what the model has learned about molecular interactions and biological function - You will build methods to extract the model's biological understanding as explicit, usable outputs that downstream systems and researchers can act on - You will create tools that connect model internals to meaningful biological concepts, making the model's reasoning interpretable to scientists and useful

UEFI BIOS Engineer - Data Center HWE Austin, United States of America We are seeking a curious and self-motivated UEFI BIOS Engineer to join our team and contribute to the development of next-generation industry-standard server platforms. Our work focuses on enhancing the reliability, serviceability and security of Apple datacenter systems. You will have the opportunity to make a significant impact and collaborate with highly skilled engineers committed to engineering excellence. We are seeking an UEFI BIOS Engineer to join our team and contribute to the development of the next-generation industry-standard server platforms. You will design the UEFI BIOS firmware architecture, collaborate with ODM to develop BIOS, and ensure its robustness against security threats. This is an excellent opportunity to make a significant impact and collaborate with highly skilled teams dedicated to engineering excellence. Your work will be instrumental in delivering features that uphold strong infrastructure reliability, serviceability, and security. As a UEFI BIOS Engineer on the DCHWE team, you will: Design and implement custom features for the UEFI BIOS. Debug complex firmware issues. Collaborate with cross-functional partners to bring up the system, validate the platform, and triage issues. Minimum Qualifications: BS/MS in EE/CE/CS, or equivalent industry experience. 6+ yrs as a UEFI BIOS or Firmware Engineer with UEFI BIOS experience Strong C/C++ programming skills, including scripting in Bash and Python, are essential. Gain an understanding of the AMI Aptio V and EDK2 development, as well as industry-standard specifications like ACPI, IPMI, PCIe, SMBIOS, and UEFI. Preferred Qualifications: Demonstrated ability to

Associate Director, Business Development, BioInsight – AI, Multiomics & Drug Discovery US - Remote posted: Posted 11 Days Ago

Sr. BIOS Engineer Sanchong posted: Posted 22 Days Ago

Insulator - Austin Industrial Decatur, IL BIO Decatur, IL Austin Industrial, Inc. - is currently seeking experienced Insulators to be based in Decatur, IL. This position is not offering per diem, 5-8's, $21.74-$32.00 per hour BIO

Member of the Technical Staff, Biological Data New York HQ 🗽 | Remote The Role Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. You will own the data that our models learn from. This role requires a deep understanding of molecular biology - what a biological data source contains, what it implies, and what is missing. The quality and coverage of training data determines what our models can learn, and the biological insight behind how that data is constructed is the difference between a model that memorizes and one that reasons. - You will construct training datasets that capture how proteins and molecules interact, drawing from diverse biological data sources and extending them with your understanding of molecular principles - You will develop methods to expand training data beyond what exists in public databases, using biological and chemical reasoning to create new training signal where current data is sparse or absent - You will design benchmarks grounded in real molecular phenomena, measuring whether

BIOS Engineering Manager Sanchong posted: Posted 22 Days Ago

Member of the Technical Staff, Pretraining New York HQ 🗽 Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. You will advance the core architecture and training of Output's foundation model, the system that learns biological reasoning from data. This role spans the full arc from research to trained model: you design architectures, develop training objectives, run pretraining at scale, and evaluate what the model has learned. - You will push forward the architecture and training objectives of our foundation model, designing approaches that are purpose-built for biological reasoning - You will develop methods for the model to learn across multiple biological data modalities simultaneously, building unified representations of molecular biology - You will extend the model's reasoning capabilities across biological phenomena, pushing what it can predict and understand about binding, molecular properties, and biological function - You will own pretraining end-to-end: experiment design, distributed training on multi-GPU clusters, hyperparameter optimization, and iteration - You will design evaluation frameworks that measure whether the model

Bio Manufacturing Operator Elwood, KS posted: Posted 30+ Days Ago

Associate Director, Integrated Insights & Analytics Cambridge, MA posted: Posted 2 Days Ago

Senior BIOS Engineer 2 Locations posted: Posted 30+ Days Ago