--- title: 'Machine Learning Force Field Scientist at Schrödinger' canonical: 'https://feeny.ai/job/machine-learning-force-field-scientist-schrodinger-new-york-nmme3858kmmg' type: 'job' last_seen: '2026-09-09' --- # Machine Learning Force Field Scientist at Schrödinger - **Company:** Schrödinger - **Location:** New York, NY - **Posted:** 2026-06-17 - **Last confirmed live:** 2026-09-09 - **Apply:** https://job-boards.greenhouse.io/schrdinger/jobs/7776872003 ## Job description We’re seeking a Machine Learning (ML) Scientist to join us in our mission to transform the discovery of therapeutics and materials. Schrödinger has pioneered a physics-based software platform that enables discovery of high-quality, novel molecules for drug development and materials applications more rapidly and at lower cost compared to traditional methods. The software platform is used by biopharmaceutical and industrial companies, academic institutions, and government laboratories around the world. Our multidisciplinary drug discovery team also leverages the software platform to advance collaborative programs and its own pipeline of novel therapeutics to address unmet medical needs. As a member of our Machine Learning team, you’ll develop state-of-the-art ML force fields targeting impactful applications in Life and Materials sciences. Who will love this job: - An ML force fields expert who has developed, validated, and applied ML force fields to simulate complex condensed-phase systems, such as solid-liquid interfaces, reactive events in the condensed phase, or solvated biomolecules - An innovator who’s driven to leverage technical knowledge to make a tangible impact - A scientist with deep knowledge of both finite system and periodic DFT, as well as other electronic structure methods, and who understands the limitations and appropriate applications of these methods - A proficient Python programmer with prior knowledge of ML toolkits such as PyTorch, Scikit-Learn, NumPy, SciPy, and Pandas - An independent researcher who enjoys collaborating with an interdisciplinary team in a fast-paced environment What you’ll do: - Build and manage large data sets generated using quantum chemical methods at scale to develop predictive ML force fields - Develop software that trains and applies ML force fields to challenging problems in life and materials sciences - Extend the accuracy, capability and generalization of current ML force fields - Communicate results and present ideas to the team What you should have: - A PhD (or extensive experience) in Chemistry, Materials Science, Engineering, Computer Science, or Physics - A proven track record of scientific contribution and independent research - Prior experience with development of ML force fields and/or electronic structure methods Pay and perks: Schrödinger understands it’s people that make a company great. Because of this, we’re prepared to offer a competitive salary, equity-based compensation, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have a company culture that is relaxed but engaged, and over a month of paid vacation time. Our Office Management team also plans a myriad of fun company-wide events. New York is home to our largest office, but we have teams all over the world. Schrödinger is honored to have been included in Crain's New York Best Places to Work, BuiltIn's NYC Best Place to Work, and Newsweek's list of America's 100 Most Loved Workplaces. Estimated base salary range: $120,000 - $175,000. Actual compensation package is dependent on a number of factors, including, for example, experience, education, degrees held, market data, and business needs. If you have any questions regarding the compensation for this role, do not hesitate to reach out to a member of our Strategic Growth team. Sound exciting? Apply today and join us! As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, sexual orientation, or any other protected characteristic. To us, "diversity" isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability. ## About Schrödinger ## Company Overview - **One-liner**: Schrödinger provides a physics-based computational platform for molecular discovery and design, transforming how therapeutics and materials are discovered. - **Entity Type**: Public (Nasdaq: SDGR) - **Headquarters**: New York, New York, USA - **Founded**: 1990 - **Founders**: Dr. Richard A. Friesner (co-founder) and Dr. William A. Goddard III (co-founder) ## Core Business - **Primary industry/industries**: Biotechnology, Drug Discovery, Materials Science, Computational Chemistry, Software - **Target customers**: B2B — pharmaceutical companies, biotech firms, and materials science organizations (R&D, discovery teams); also serves academic institutions. - **Mission or purpose statement**: “Our mission is to improve human health and quality of life by transforming the way therapeutics and materials are discovered.” [schrodinger.com](https://www.schrodinger.com/company/about/) ## Products & Services - **FEP+ (Free Energy Perturbation+)**: A physics-based computational tool for accurately predicting binding affinities and optimizing drug candidates (SaaS). - **LiveDesign**: An enterprise platform for collaborative molecular design, enabling teams to track, analyze, and share data in real time (SaaS). - **Schrödinger Platform (Core)**: A comprehensive suite of physics-based modeling and simulation tools for small molecule discovery, materials design, and predictive modeling (SaaS). - **Materials Science Platform**: Specialized tools for designing polymers, formulations, and advanced materials (SaaS). - **Drug Discovery Pipeline**: Internal and collaborative drug discovery programs targeting high-value therapeutic areas, leveraging their own platform. - **Education & Certification**: Online courses and certification programs for computational chemistry and molecular design. ## Market Standing - **Valuation/Market Cap**: As of early 2025, market cap is approximately $2.5–3.0 billion (fluctuates with market). - **Key Metric**: Annual Revenue (public) — FY2024 revenue was approximately $180–200 million (SaaS + drug discovery collaborations). - **Notable Investors/Partners**: Key partners include major pharmaceutical companies (e.g., Novartis, Takeda, Bayer) and materials science firms. Public shareholders include institutional investors like Vanguard and BlackRock. - **Growth Signals**: Consistently growing software revenue; expanding drug discovery pipeline; recognized as a leader in computational chemistry; listed on the 2022 *Fortune* 100 Fastest-Growing Companies; named #1 in Pharmaceuticals and Biotech on *Newsweek*’s America’s 100 Most Loved Workplaces 2022. [schrodinger.com](https://www.schrodinger.com/company/about/) ## Competitive Advantages - **Physics-based platform**: Proprietary, physics-first approach (not purely AI/ML) that provides high accuracy and predictive power, differentiating from competitors. - **Deep R&D investment**: Over 30 years of continuous investment in computational methods and force fields. - **Integrated platform + pipeline**: The company uses its own platform internally to advance a pipeline of drug discovery programs, creating a virtuous feedback loop for platform improvement. - **Strong IP moat**: Extensive patent portfolio covering both the platform and drug discovery methods. - **Established partnerships**: Long-term collaborations with top pharma and materials companies, providing recurring revenue and validation. ## Strategic Focus - **Platform expansion**: Continuing to enhance the physics-based platform with machine learning and AI capabilities (e.g., ML-driven force fields, retrosynthesis). - **Therapeutics pipeline**: Advancing proprietary and collaborative drug programs into the clinic, focusing on high-value targets with human genetics validation. - **Materials science growth**: Expanding the materials platform into new industries (e.g., electronics, consumer goods). - **Global reach**: Growing operations in key markets including Japan, India, and Europe. ## Why Work Here - **Culture & values**: Emphasizes collaboration, compassion, diversity, and ethical conduct. Recognized as a top workplace (No. 1 in Pharmaceuticals and Biotech on *Newsweek*’s 100 Most Loved Workplaces 2022). [schrodinger.com](https://www.schrodinger.com/company/about/) - **Work environment**: Flexible work environment with hybrid options. New York office features snack options, gym access, and modern collaborative spaces. [schrodinger.com](https://www.schrodinger.com/company/careers/) - **Benefits**: Competitive salary and annual bonuses; equity compensation; 401k with employer match; over a month of paid vacation; two annual company shut-down weeks; paid parental leave; subsidized backup care (child/elder/pet); medical, dental, vision; mental health benefits; flexible spending accounts; tuition reimbursement; access to Schrödinger’s online courses and mentor program. [schrodinger.com](https://www.schrodinger.com/company/careers/) - **Engineering & science culture**: A multidisciplinary team of over 800 employees (scientists, software engineers, ML engineers) working at the intersection of physics, chemistry, and computer science. Strong focus on professional development and learning. - **Global presence**: 12 offices worldwide (New York, Cambridge, San Diego, Portland, Hyderabad, Tokyo, Munich, Mannheim, London, and more), offering a diverse, global team. ## Sources 1. [Schrödinger About Page](https://www.schrodinger.com/company/about/) 2. [Schrödinger Careers Page](https://www.schrodinger.com/company/careers/) 3. [Schrödinger Homepage](https://www.schrodinger.com/) 4. [Schrödinger Team Page](https://www.schrodinger.com/company/team/) 5. [Schrödinger Jobs on Greenhouse](http://job-boards.greenhouse.io/schrdinger) ## Other roles at Schrödinger - [Director/Senior Director, In Vitro Biology & Molecular Pharmacology](https://feeny.ai/job/director-senior-director-in-vitro-biology-molecular-pharmacology-schrodinger-s5cyb910awa0) — Framingham, MA / New York, NY - [Associate Counsel, Legal (Hyderabad)](https://feeny.ai/job/associate-counsel-legal-hyderabad-schrodinger-hyderabad-3ht5n1myez1n) — Hyderabad, India - [Cloud Engineer](https://feeny.ai/job/cloud-engineer-schrodinger-new-york-qydndykmhe6b) — New York, NY / Portland, OR - [Senior / Principal Scientist, Structural Biology — Target Druggability & Structure-Based Drug Design](https://feeny.ai/job/senior-principal-scientist-structural-biology-target-druggability-structure-cz67v3dyzgrg) — Framingham, MA / New York, NY - [Software Developer - Python, Hyderabad](https://feeny.ai/job/software-developer-python-hyderabad-schrodinger-hyderabad-ee83rxy4fgbd) — Hyderabad, India - [Ventures Associate Director – Therapeutics](https://feeny.ai/job/ventures-associate-director-therapeutics-schrodinger-new-york-hxks35mnfwqn) — New York, NY - [Director, Business Development](https://feeny.ai/job/director-business-development-schrodinger-cambridge-26j7efm0r9fr) — Cambridge, MA / New York, NY - [Senior Account Manager](https://feeny.ai/job/senior-account-manager-schrodinger-cambridge-h3ev5ng7jrxe) — Cambridge, MA - [Manager of Global Tax](https://feeny.ai/job/manager-of-global-tax-schrodinger-new-york-nk2r9skhgxmy) — New York, NY - [Force Field Scientist](https://feeny.ai/job/force-field-scientist-schrodinger-new-york-277r036cax7v) — New York, NY