Full-Time

Associate Counsel

Legal

Updated on 9/4/2026

Schrödinger

Schrödinger

1,001-5,000 employees

Computational platform for drug discovery

No salary listed

Hyderabad, Telangana, India

In Person

Bachelor's, Master's

Category
Legal (1)
Required Skills
Machine Learning
Cybersecurity
Risk Management

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Requirements
  • A bachelor's degree in law.
  • At least 8-10 years of relevant generalist legal experience, with substantial experience drafting, reviewing, and negotiating commercial and technology transactions, including SaaS, software licensing, vendor, partner, and confidentiality agreements.
  • Working knowledge of laws, regulations, and best practices related to data privacy, cybersecurity, intellectual property, and open source licensing issues relevant to technology and software transactions.
  • Excellent written and verbal communication skills.
  • Strong critical thinking and analytical ability, sound judgment, and strategic orientation.
  • The ability to work collaboratively across various functions and with colleagues at all levels across time zones.
  • A strong desire to grow professionally, upskill, learn about new products, technologies, and processes, and remain agile and adaptable.
  • Ownership of projects and the ability to build relationships cross-functionally.
Responsibilities
  • Serve as a trusted legal advisor to internal partners by providing clear and actionable guidance on legal and commercial risks across technology and commercial transactions, employment, data privacy, real estate, and intellectual property.
  • Draft, review, and negotiate legal documents including vendor and service agreements, master services agreements, nondisclosure agreements, memoranda of understanding, consulting agreements, licensing agreements, technology collaboration agreements, contract research organization transactional documents, and related business documents.
  • Build, refine, and scale legal templates, playbooks, policies, and contracting workflows to improve speed and consistency.
  • Establish working relationships and collaborate with global partners such as Sales, Finance, Information Technology, and Compliance to support business objectives and mitigate risks.
  • Collaborate with the global legal team on critical initiatives, legal processes, administrative activities, repository management, and the agreement execution lifecycle.
  • Work cross-functionally with appropriate teams.
  • Monitor legal, regulatory, and industry developments relevant to SaaS, artificial intelligence and machine learning, software licensing, and data privacy, and communicate practical implications to stakeholders.
  • Develop and deliver training programs for cross-functional teams on legal topics, risk management, and contract best practices.
Desired Qualifications
  • A master's degree in law.
  • In-house experience in technology or SaaS environments.
  • Experience drafting and negotiating complex enterprise SaaS or software licensing agreements using standard templates and bespoke contractual frameworks.
  • Experience with intellectual property and commercial licensing issues related to artificial intelligence technologies, including machine learning, data usage, information security, data privacy, and responsible artificial intelligence commitments.
  • Experience building or improving contracting processes at scale, including contract intake workflows, approval matrices, template libraries, fallback positions, negotiation playbooks, and sales enablement training.

Schrödinger provides a computational platform for drug discovery used by biopharmaceutical companies, academic institutions, and government laboratories around the world. The core offering is an integrated software suite for molecular modeling, simulations, and analytics, which clients access through software licensing or collaborative research agreements, and may also participate in wholly-owned or collaborative drug-discovery programs. The company differentiates itself with a long history since 1990 and a global footprint, combining a full end-to-end platform with direct drug-discovery partnerships and extensive services. Its goal is to advance science and talent by strengthening its platform and helping partners discover and develop new medicines using computational methods and collaborative programs.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

New York City, New York

Founded

1990

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Simplify Jobs

Simplify's Take

What believers are saying

  • BMS deployed Bunsen on August 5, 2026, validating enterprise demand for Schrödinger’s platform.
  • Q2 2026 ACV reached $29.6 million, and trailing-four-quarter ACV hit $208 million.
  • Simcere signed a July 10, 2026 collaboration, adding milestones and royalties to 2026 revenue.

What critics are saying

  • Q1 2026 software revenue fell 21%; hosted licensing transition compressed software gross margin to 75%.
  • May 2025 layoffs cut 60 jobs, showing management still shrinks headcount to protect cash.
  • Drug discovery revenue depends on lumpy milestones; a bad 2027 pipeline readout hurts growth.

What makes Schrödinger unique

  • Schrödinger’s physics-based platform stays differentiated; BMS deployed Bunsen on August 5, 2026.
  • Bunsen automates complex workflows, and Google Cloud plus NVIDIA co-engineer early access infrastructure.
  • Schrödinger combines software licensing with drug discovery milestones, unlike pure-play AI discovery vendors.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

401(k) Retirement Plan

Flexible Work Hours

Remote Work Options

Paid Vacation

Parental Leave

Growth & Insights and Company News

Headcount

6 month growth

7%

1 year growth

7%

2 year growth

7%
Gardner Business Media Inc.
Aug 19th, 2026
Schrödinger 2026-3 release advances composite matrix design tools.

Schrödinger 2026-3 release advances composite matrix design tools. The update adds coarse-grained backmapping for resin structure modeling and an agentic AI co-scientist, Bunsen, now in beta. Senior Managing Editor, CompositesWorld and Products Finishing Source | Schrödinger Schrödinger (New York, N.Y., U.S.) has released the 2026-3 version of its Materials Science Suite, adding capabilities the company says advance the digital design of composite matrix formulations alongside a new agentic AI tool, machine learning model refinements and expanded structure prediction tools. The release is available for download to Schrödinger users. A central addition is coarse-grained backmapping, which maps coarse-grained structures to all-atom molecular models. According to Schrödinger, this enables development of structural models for complex resin mixtures, supporting property assessment across length scales relevant to composite matrix formulation. Learn to cut the cost and time of tooling. CW's editors are tracking the latest trends and developments in tooling, from the basics to new developments. This collection, presented by Composites One, features recent CW stories that detail a range of tooling technologies, processes and materials. Download Collection The release also updates MS Reactivity workflows, aimed at exploring degradation behavior in polymer systems. The Nanoreactor tool within that workflow now includes a simplified interface with dedicated tabs for workflow and sampling settings, along with a scaled setup for biasing potential, changes that provide more robust tools for assessing thermal and other degradation risks. Along with the release, Schrödinger also officially introduced Bunsen, a chemistry-native agentic co-scientist now available to early access customers. The tool is designed to execute complex workflows, submit and monitor jobs, and self-correct in real time. Additional enhancements in the release include a custom extension of Schrödinger's foundational machine learning force field, which allows users to refine MPNICE force field parameters using custom structure-energy data for specific chemical spaces, and enhanced featurization for solid-state machine learning, which builds machine learning models based on MPNICE embeddings. The release additionally includes extended crystal structure prediction capability, capable of predicting crystal structures for salts, hydrates, solvates and cocrystals. * Testing to support composite bolted joint analysis An overview of ASTM Standard Guide D8509, and its coupon-level mechanical testing of design properties for analyzing composite bolted joints. * Cutting 100 pounds, certification time for the X-59 nose cone Swift Engineering used HyperX software to remove 100 pounds from 38-foot graphite/epoxy cored nose cone for X-59 supersonic aircraft. * Troubleshooting thermoplastic composite stamp forming Understand the basic science of TPC stamp forming, a manufacturing process steadily gaining momentum in aerospace and mobility applications thanks to its rapid forming, short cycle times and automated methods.

Yahoo Finance
Aug 5th, 2026
Bristol Myers Squibb deploys Schrödinger's AI co-scientist Bunsen for drug discovery

Schrödinger has announced a strategic collaboration with Bristol Myers Squibb to deploy Bunsen, its agentic AI co-scientist, within BMS's research organisation. The agreement expands upon their existing partnership, enabling BMS scientists to explore more scientific possibilities and accelerate discovery decisions. Under the collaboration, Schrödinger will work with BMS scientists to develop novel functionality within Bunsen alongside its computational technologies and RetroSynth AI-driven synthesis planning platform. Unlike general-purpose agents, Bunsen is optimised to execute Schrödinger's physics-based computational platform by planning and running complex molecular discovery workflows. The deployment allows BMS to scale its predict-first computational approach across a broader group of scientists, helping them navigate molecular design space more efficiently in discovering innovative medicines.

Informa TechTarget
Aug 5th, 2026
Schrödinger announces strategic collaboration and software agreement with Bristol Myers Squibb to deploy AI co-scientist Bunsen.

Schrödinger announces strategic collaboration and software agreement with Bristol Myers Squibb to deploy AI co-scientist Bunsen. Aug. 5, 2026 Press Contacts Jaren Madden Matthew Luchini Theresa Masnik NEW YORK - Schrödinger, Inc. (Nasdaq: SDGR) today announced a strategic agreement with Bristol Myers Squibb (BMS) to deploy Bunsen, Schrödinger's agentic AI co-scientist, within its research organization. Building on a long-standing partnership with BMS where they routinely utilize Schrödinger's industry-leading computational platform, the new agreement significantly expands the application of Schrödinger's platform, empowering BMS scientists to explore more scientific possibilities, prioritize molecules with greater confidence, and accelerate discovery decisions. Under the agreement, Schrödinger will collaborate with BMS scientists on developing novel functionality within Bunsen in conjunction with its computational technologies designed to enable large-scale chemical exploration as well as with RetroSynth, its AI-driven synthesis planning platform. Unlike general-purpose agents, Bunsen is optimized to execute Schrödinger's validated, physics-based computational platform by planning and running complex molecular discovery workflows and interpreting the results. "BMS is a long-standing customer and collaborator, and they have been an industry leader in integrating computation into drug discovery. We are thrilled they are deploying Bunsen at a large scale," said Robert Abel, Chief Scientific Officer, Platform, of Schrödinger. "Adopting Bunsen and our computational platform at scale will empower a broader group of scientists to embrace a predict-first computational approach." "Over the past several years, AI has become a key enabler for our scientists, allowing them to scale their creativity and scientific expertise across our research organization," said Stephen Johnson, Vice President, Computational Sciences, Bristol Myers Squibb. "Bunsen is another capability we are adding to that toolkit, one that allows our scientists to think differently about how physics-based tools can be used to navigate molecular design space and accelerate the discovery of innovative medicines for patients." About Bunsen Bunsen is Schrödinger's agentic AI co-scientist, built specifically for molecular discovery. Optimized to execute Schrödinger's validated computational methods, Bunsen helps researchers understand scientific objectives, plan computational strategies, execute sophisticated discovery workflows, and interpret results. By combining AI with physics-based simulation, Bunsen makes advanced computational methods more accessible and enables research teams to evaluate more hypotheses, systematically explore broader chemical space, and make higher-confidence decisions prior to experimental testing. To learn more about Bunsen and sign up for priority access, visit the company's Bunsen webpage. About Retrosynth RetroSynth is Schrödinger's AI-driven synthesis planning platform designed to rapidly evaluate synthetic feasibility and optimize route selection. RetroSynth integrates real-time intelligence across billions of building blocks to predict plausible, bench-ready synthetic pathways. By coupling automated retrosynthetic analysis with molecular design, RetroSynth enables high-throughput evaluation of large chemical spaces, helping ensure computationally prioritized molecules can be efficiently synthesized in the laboratory. Cautionary Note Regarding Forward-Looking Statements This press release contains forward-looking statements within the meaning of The Private Securities Litigation Reform Act of 1995 including, but not limited to those statements regarding the potential advantages of Schrödinger's computational platform, including the capabilities and potential advantages of Bunsen, its AI co-scientist, expectations relating to the use of Bunsen by BMS at scale, the potential development of novel functionality within Bunsen, and the successful deployment of Bunsen within BMS's research organization. Statements including words such as "aim," "anticipate," "believe," "contemplate," "continue," "could," "estimate," "expect," "goal," "intend," "may," "might," "plan," "potential," "predict," "project," "should," "target," "will," "would" and statements in the future tense are forward-looking statements. These forward-looking statements reflect Schrödinger's current views about its plans, intentions, expectations, strategies and prospects, which are based on the information currently available to the company and on assumptions the company has made. Actual results may differ materially from those described in these forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and important factors that are beyond Schrödinger's control, including its ability to further develop its computational platform, its reliance on third-party providers of cloud-based infrastructures to host its software solutions, and the ability to retain and hire key personnel on its business and other risks detailed under the caption "Risk Factors" and elsewhere in the company's Securities and Exchange Commission filings and reports, including its Quarterly Report on Form 10-Q for the quarter ended March 31, 2026, filed with the Securities and Exchange Commission on May 5, 2026, as well as future filings and reports by the company. Any forward-looking statements contained in this press release speak only as of the date hereof. Except as required by law, Schrödinger undertakes no duty or obligation to update any forward-looking statements contained in this press release as a result of new information, future events, changes in expectations or otherwise. Schrödinger is transforming molecular discovery with its computational platform, which enables the discovery of novel, highly optimized molecules for drug development and materials design. Schrödinger's software platform is built on more than 30 years of R&D investment and is licensed by biotechnology, pharmaceutical and industrial companies, and academic institutions around the world. Schrödinger also leverages the platform to advance a portfolio of collaborative and proprietary programs. To learn more, visit www.schrodinger.com, follow BioPharma Dive on LinkedIn, or visit its blog, Extrapolations.com. Media gallery

Associated Press
Jul 27th, 2026
Schrödinger launches Bunsen, an AI co-scientist for molecular discovery

Schrödinger has launched Bunsen, an agentic AI co-scientist designed to accelerate molecular discovery. Unlike general-purpose AI systems, Bunsen executes Schrödinger's validated computational methods and leverages the company's physics-based molecular discovery expertise. The platform helps researchers understand scientific objectives, develop computational strategies, execute molecular discovery workflows and interpret results. This enables computational chemists to run concurrent research sessions whilst making advanced methods accessible to drug hunters without computational chemistry backgrounds. Schrödinger is collaborating with NVIDIA and Google Cloud to provide a co-engineered AI platform for early Bunsen customers. The integration includes Google Cloud's elastic computing infrastructure and NVIDIA BioNeMo Agent Toolkit with RTX PRO 6000 Blackwell Server Edition GPUs. The early access version is now available to select customers, with full commercial release expected by the end of 2026.

Endpoints News
Jul 27th, 2026
Exclusive: Schrödinger CEO 'couldn't be more pleased to be wrong' in launch of AI agent Bunsen.

Exclusive: Schrödinger CEO 'couldn't be more pleased to be wrong' in launch of AI agent Bunsen. Senior biopharma correspondent. Three years ago, Schrödinger CEO Ramy Farid ruffled some feathers by pushing back on the AI fever of the moment. He said... Get free access to a limited number of articles, plus choose newsletters to get straight to your inbox.