---
title: 'Member of Technical Staff - Software Engineering at Inductive Bio'
canonical: 'https://feeny.ai/job/member-of-technical-staff-software-engineering-inductive-bio-new-york-vz2hezrh1v7f'
type: 'job'
last_seen: '2026-09-16'
---

# Member of Technical Staff - Software Engineering at Inductive Bio

- **Company:** Inductive Bio
- **Location:** New York, NY / San Francisco, CA / Boston, MA
- **Compensation:** $180k–$240k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-03-24
- **Last confirmed live:** 2026-09-16
- **Apply:** https://jobs.ashbyhq.com/inductive-bio/02725e91-1a91-4da7-a4bb-b8e1867c9996

## Job description

The most important way that AI can benefit humanity is to accelerate scientific discovery. At Inductive, we are doing just that. Our models have won the leading AI for drug discovery chemistry benchmark [three times in a row](https://www.inductive.bio/news/inductive-bio-wins-3rd-consecutive-ai-drug-discovery-benchmark). Our in-house agentic AI platform is already deployed across dozens of drug programs and removing years from drug discovery timelines. We are seeking curious and ambitious software engineers to join our interdisciplinary team of engineers, scientists, designers, and product specialists. What you’ll do:

- Build high-quality software that empowers scientists to use our AI agent and award-winning models to design better molecules.
- Design and improve infrastructure for model management and low-latency inference, including security features, performance optimization, and system orchestration.
- Build tools for AI-assisted chemical synthesis and automated wet-lab operations.
- Own the full scope of large projects, working across design, infrastructure, backend, and frontend.
- Contribute to internal platforms for improving agentic coding across the company.
- Interact directly with internal and external scientists to design improvements to the platform.
- Contribute to business and product decisions that will shape the future of the company.

Who you are:

- 4+ years of industry experience solving difficult software engineering problems
- Strong fundamentals in API design, data modeling, and application security, with experience operating, monitoring and deploying production services in the cloud
- Outstanding written and oral communication skills
- Product-oriented mindset and comfort with ambiguity
- Interest in diving deep into the science of drug discovery and the business of a growing startup

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.

## About Inductive Bio

## Company Overview
- **One-liner**: Inductive Bio provides an AI-powered virtual lab platform that enables chemists to run millions of in silico experiments to accelerate small molecule drug discovery.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2022
- **Founders**: Josh Haimson (CEO) and Ben Birnbaum, Ph.D. (President and CTO)

## Core Business
- **Primary industry/industries**: Biotechnology Research, AI-driven Drug Discovery, Small Molecule Therapeutics
- **Target customers**: B2B, Enterprise biopharma companies, CROs (Contract Research Organizations)
- **Mission or purpose statement**: To accelerate small molecule drug discovery by pairing scientists with a virtual lab that can run millions of in silico experiments, surfacing the strongest hypotheses to test in the wet lab.

## Products & Services
- **[Indy, AI Chemistry Assistant]**: An AI tool that automates time-consuming chemistry operations and helps design and interpret experiments, acting like an entire chemistry team.
- **[Beacon-1, ADMET Models]**: A class of AI models trained on a pre-competitive data consortium for predicting Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) of molecules. It is fine-tuned to a client's chemical space and is benchmarked as state-of-the-art, winning 1st place in multiple blind competitions (e.g., OpenADMET 2025, 2026).
- **[Compass, Virtual Lab Software]**: A platform that gives direct access to run virtual experiments, review predictions, and decide which compounds to synthesize in real time.
- **[Partnered Services]**: Inductive can operate its virtual lab alongside a partner's team, delivering curated compound ideas. They also partner with select CROs to synthesize and test top compounds, creating an end-to-end, AI-informed feedback loop.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total Funding of $29.3M.
- **Notable Investors/Partners**: a16z Bio Health, Lux Capital, Obvious Ventures (Lead in Series A), Character Capital, Malay. Partners include Amgen (on a $21M ARPA-H initiative). The company also participates in a pre-competitive ADMET data consortium.
- **Growth Signals**: The company has 31 employees with a 120% yearly growth rate. They have delivered multiple development candidates (DCs) and have "dozens of partners." They are leading a $21M ARPA-H initiative with Amgen to develop AI drug toxicity models. Their Beacon-1 models have consecutively won 1st place in major blind ADMET competitions (Polaris, OpenADMET 2025, OpenADMET 2026), demonstrating superior technology. The company is SOC 2 compliant.

## Competitive Advantages
- **State-of-the-Art AI Models**: Their AI models are benchmarked as world-leading, having won 1st place in several large, blind ADMET prediction competitions against major pharma and AI drug discovery groups.
- **Human-Guided Virtual Lab**: The platform is designed to amplify, not replace, human chemists, combining the scale of AI with the expertise of veteran scientists.
- **Pre-competitive Data Consortium**: Access to large, diverse, and proprietary datasets from an industry consortium gives their models a training advantage over competitors.
- **End-to-End Acceleration**: Offers a complete loop from in silico design to virtual testing and then to synthesis with a CRO partner, which de-risks and speeds up the drug discovery process.
- **IP and Confidentiality**: Clients retain full IP ownership, and all data is kept completely confidential.

## Strategic Focus
- **Scaling the virtual lab**: Expanding the use of Beacon-1 and Compass across more biopharma partners.
- **Leading in Safety AI**: A key focus is on developing next-generation AI models for predicting drug toxicity in humans, as evidenced by the ARPA-H project.
- **Expanding the Data Moat**: Continuously growing the pre-competitive data consortium to improve model accuracy.
- **Delivering Development Candidates**: Proving the value of the platform by guiding multiple programs to achieve successful development candidates.

## Why Work Here
- **High-Caliber Team**: Work at the intersection of AI and life sciences with a team that includes experts from Google, Flatiron Health, Relay Therapeutics, and MIT. The leadership has deep experience in building innovative AI products and bringing drugs into the clinic.
- **Rapid Growth**: A fast-growing startup (120% YoY headcount growth) backed by top-tier investors (a16z, Lux, Obvious). This signals strong momentum and potential for career growth.
- **Impactful Mission**: Directly involved in accelerating the creation of new medicines, with tangible outputs like "DCs delivered."
- **Culture of Innovation**: The company is building a "virtual lab" that changes how chemistry teams work, using state-of-the-art AI and large datasets.
- **Location**: Based in San Francisco, a major hub for both tech and biotech.
- **Hiring for Growth**: The careers page indicates active hiring across key roles in the rapidly growing startup, suggesting opportunities for new joiners to make a significant impact [inductive.bio](https://www.inductive.bio/careers).

## Sources
1. [inductive.bio](https://www.inductive.bio/)
2. [inductive.bio](https://www.inductive.bio/careers)
3. [inductive.bio](https://www.inductive.bio/about)
4. [linkedin.com](https://www.linkedin.com/company/inductive-bio)
5. [cbinsights.com](https://www.cbinsights.com/company/inductive-bio)

## Other roles at Inductive Bio

- [Member of Technical Staff - Machine Learning](https://feeny.ai/job/member-of-technical-staff-machine-learning-inductive-bio-new-york-bfjt340b1cz9) — New York, NY / San Francisco, CA / Boston, MA
- [Enterprise Lead](https://feeny.ai/job/enterprise-lead-inductive-bio-new-york-nvnp32gk03j4) — New York, NY / San Francisco, CA / Boston, MA
- [Member of Technical Staff - Computational Chemistry](https://feeny.ai/job/member-of-technical-staff-computational-chemistry-inductive-bio-new-york-f0zh727srvv3) — New York, NY / San Francisco, CA / Boston, MA
- [Medicinal Chemist](https://feeny.ai/job/medicinal-chemist-inductive-bio-new-york-gkfdk6we932p) — New York, NY / San Francisco, CA / Boston, MA
- [Partnerships Lead](https://feeny.ai/job/partnerships-lead-inductive-bio-new-york-5pgq7gcvy38t) — New York, NY / San Francisco, CA / Boston, MA
- [Upcoming Roles at Inductive Bio](https://feeny.ai/job/upcoming-roles-at-inductive-bio-inductive-bio-new-york-eharqttkn59s) — New York, NY / San Francisco, CA / Boston, MA
- [Partner Success](https://feeny.ai/job/partner-success-inductive-bio-new-york-e3v5k912zfnv) — New York, NY / San Francisco, CA / Boston, MA