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 to hear from you! As we continue to grow, we're anticipating a number of upcoming roles and want to start building relationships with talented people who could be a strong match when those roles open up. If your background aligns with one of the areas below, please apply here and we'll reach out as soon as a relevant role becomes active.

And if you don't see your exact background reflected below but are excited about Inductive and want to be on our radar for whatever comes next, please apply anyway. We'd love to get to know you.

Upcoming roles:

• Toxicologist: Help us expand the predictive scope of our platform into safety and tox endpoints, working closely with our ML and chemistry teams to translate toxicological expertise into better models and better outcomes for our customers' programs.

• Machine Learning Scientist: Partner with us to build novel ML methods for predicting molecular properties, develop novel ML methods for predicting molecular properties, generating new molecular ideas, and building agents that synthesize information across drug programs, working closely with chemists and drug discovery scientists to translate cutting-edge research into better models and better outcomes for our customers' programs new molecular ideas, and building agents that synthesize information across drug programs.

• Product Management (Services Delivery): Join us as a product leader to own services delivery for our drug discovery customers, running the day-to-day execution of customer engagements while feeding what they learn back into the product roadmap.

Who you are:

• You're excited about the mission of accelerating drug discovery and bringing better medicines to patients faster

• You thrive in fast-paced, ambiguous environments and are a hands-on executor

• You have exceptional written and oral communication skills and enjoy collaborating across scientific, technical, and commercial functions

• You're kind, curious, and energized by working alongside a passionate team

Working at Inductive

At Inductive Bio, we know that the people on the team are what make us great. We offer competitive salary and equity-based compensation; comprehensive healthcare benefits (including dental and vision); and the opportunity to grow along with a rapidly scaling company. We are a passionate, kind, and mature team. Working at a fast growing startup is not always a 9-5 job, but we believe that our employees should have full lives beyond their career.

Inductive Bio is an AI drug discovery partner. We help small molecule teams make better decisions, faster, across the full DMTA cycle. Our platform includes best-in-class ADMET models, human dose projection tools, an agentic AI drug discovery assistant, and high-throughput synthesis and testing services. Together, these power dozens of small molecule and beyond-rule-of-five programs for biotech and pharma partners.

Inductive’s Beacon-1 placed 1st in the three most recent consecutive OpenADMET blind challenges. We've raised $30M from top VCs, and were selected for a $21M ARPA-H CATALYST contract in collaboration with Amgen.

The Role:

We're looking for a seasoned computational chemist to join our team as a Member of Technical Staff, Computational Chemistry.

Each partner program is led by an Inductive pair: a computational chemist and a medicinal chemist. You'll own the modeling and co-own scientific delivery and impact, applying your expertise to real molecular optimization problems with a human dose-centric framework. You'll work across a wide range of small molecule modalities, therapeutic areas, and modeling challenges.

You'll also shape the development of Inductive's platform, from our predictive models and dose projection tools to Indy, informed by your own experience and what you see working (and not working) on real partner programs. We need someone whose instincts about what matters in small molecule optimization come from years of doing it, and who wants to put those instincts into the products we build.

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 the time zone for primary working hours, this role requires availability for external meetings that frequently occur during Eastern Time business hours.

What You'll Do:

Your time divides between partner-facing science and methods/product development. The split is flexible based on your interests and company needs; partner-facing science could be anywhere from 30% to 90% of your time.

• Co-own, together with an Inductive medicinal chemist, the scientific relationship with partner project teams. Our programs span reversible and covalent small molecules, macrocycles, molecular glues, and heterobifunctionals; you'll go deep where you have experience and stretch into the rest.

• Drive modeling strategy: which assays are most critical to model, how to model them, and how to use these predictions to make decisions that move the program forward.

• Bring order to messy program data. Rationalize SAR, identify what the data is and isn't telling you, and flag inconsistencies before they become bad decisions.

• Guide med chem strategy: what to make, what to test, how to triage compounds for advancement, and where to focus synthetic resources. Identify liabilities early and help partners build de-risking plans.

• Model in vivo outcomes end to end, from PK/PD/efficacy relationships to projected human dose, helping teams evaluate compounds through a dose-centric lens and reason about property tradeoffs in the context of therapeutic window.

• Represent Inductive's scientific capabilities in partner meetings and publications.

• Prototype scientific analyses and modeling experiments in code. We use coding agents heavily within the Computational Chemistry team, so you can move from hypothesis to result quickly.

• Build reusable analyses, tools, and workflows for internal use, for partner delivery, and for Indy. If you find yourself doing something twice, automate it.

• Evaluate new computational methods on benchmark datasets and make pragmatic calls about what's worth adopting.

• Dig into model performance issues. When predictions miss, understand why and work with the ML team to turn those findings into model improvements.

• Stay current with the scientific literature and look for emerging techniques worth testing on real data.

• Set scientific direction for the platform. You won't just provide feedback on what others build; you'll define what needs to exist and why, grounded in your past experience and what you see on partner programs.

• Sit in product design meetings and own the user perspective. You use our tools every day; that makes you the most credible voice in the room for what's working and what isn't.

• Write feature requirements, prioritize the roadmap alongside product and engineering, and hold the bar on whether what ships actually solves the problem.

• Help grow the Computational Chemistry team as Inductive scales.

Who You Are:

• A pragmatic drug discovery scientist with 5+ years on project teams across multiple stages of discovery, from hit identification through lead optimization. You've developed strong opinions about what works and what doesn't, and partners trust your judgment at the technical, scientific, and strategic level.

• Broad technical range across cheminformatics, structure/physics-based modeling (docking/QM/FEP), ML, and DMPK. Deep scientific training in a relevant field is expected; the specific degree matters less than what you've done with it.

• Comfortable writing Python and picking up new tools. We use coding agents daily and prototype fast; strong coders with experience with AI coding agents will thrive here.

• Clear communicator who can lead cross-functional discussions and turn complex analyses into visuals that land with both technical and non-technical audiences.

• Bonus points if you've seen a program through to DC nomination or IND-enabling studies, or bring hands-on medicinal chemistry experience.

Working at Inductive:

We offer competitive salary and equity-based compensation; comprehensive healthcare benefits (including dental and vision); and the opportunity to grow along with a rapidly scaling company. Working at a fast-growing startup is not always a 9–5 job, but we believe that our employees should have full lives beyond their career.

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 trust of scientific buyers and decision makers (spanning C-suite to medicinal and computational chemists) by engaging as a credible peer

• Collaborate with internal subject matter experts to craft tailored solutions that meet customer needs and reinforce our scientific and technical credibility externally

• Effectively manage and grow key accounts, driving renewals and expansion opportunities

• Contribute to building and evolving the sales playbook, tools, and collateral - continually iterating to improve customer experience and business outcomes

• Represent Inductive externally at key conferences, events, and customer meetings

Who you are:

• 5+ years of life sciences B2B sales experience, with demonstrated success selling into scientific and technical buyer personas

• Deep understanding of the drug discovery processes - you can appreciate and speak to the challenges associated with small molecule discovery programs

• PhD or MS in chemistry, or a related field, with industry experience working with medicinal or computational chemist

• Exceptional communication and presentation skills, able to convey complex scientific and technical concepts to a range of stakeholders

• Self-motivated, organized, and adaptable - ability to thrive in a start-up environment with a track record of navigating ambiguity

• High critical thinking bar: you ask hard questions, distinguish signal from noise, and push back constructively when you disagree

• Skilled in deal execution, including negotiation, objection handling, and closing

• Customer-first, high-integrity operator with a strong sense of ownership

Working at Inductive

At Inductive Bio, we know that the people on the team are what make us great. We offer competitive salary and equity-based compensation; comprehensive healthcare benefits (including dental and vision); and the opportunity to grow along with a rapidly scaling company. We are a passionate, kind, and mature team. Working at a fast growing startup is not always a 9-5 job, but we believe that our employees should have full lives beyond their career.