---
title: 'Applications Scientist, Materials Science, Japan at Schrödinger'
canonical: 'https://feeny.ai/job/applications-scientist-materials-science-japan-schrodinger-tokyo-dmm4dreqmhc9'
type: 'job'
last_seen: '2026-09-09'
---

# Applications Scientist, Materials Science, Japan at Schrödinger

- **Company:** Schrödinger
- **Location:** Tokyo, Japan
- **Posted:** 2025-06-25
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/schrdinger/jobs/6619838003

## Job description

マテリアルサイエンス　アプリケーション・サイエンティスト　（日本）

[Schrödinger](https://www.schrodinger.com/)は、原子・分子レベルのシミュレーションソフトウェアのグローバルリーダーとして、製薬・バイオテクノロジーから先端材料科学まで、科学研究の最前線を支えています。米国シュレディンガー社の日本法人であるシュレディンガー株式会社では、マテリアルサイエンスチームのアプリケーションサイエンティストを募集しております。

アプリケーションサイエンティストの一員として、最先端の計算科学プラットフォームを活用しながら、日本を代表する研究機関や企業と深く関わることができます。研究者としてのバックグラウンドを活かしつつ、ビジネスの最前線で社会的インパクトのある仕事に挑戦したい方に最適なポジションです。

こんな方にぴったりの仕事です：

- 分子動力学（MD）、量子化学（QM）、または機械学習（ML）を用いた材料・高分子研究の経験をお持ちの方
- Python プログラミングに精通している方
- 顧客や研究者に対して、複雑な科学的概念をわかりやすく伝えるコミュニケーション力のある方
- 研究職にとどまらず、計算科学の社会実装や産業応用に関心をお持ちの方
- 自律的に業務を進め、チームワークも大切にできる方
- 日本全国のお客様先への出張を楽しめる、フットワークの軽い方

具体的なお仕事内容：

- 既存・新規のお客様への科学技術サポート（ソフトウェアスイートの最適な使用方法のデモンストレーション、お客様と製品開発チーム間の連携促進、総合的な科学技術指導）
- お客様の科学ワークフロー、管理、モデリング環境の適応に関するトラブルシューティング
- 顧客の課題に対する科学的アドバイスおよびモデリングワークフローの支援
- 製品開発チームと顧客の橋渡し役として、フィードバックの収集・共有
- アカウントマネージャーやマーケティングチームと連携した営業戦略の実行支援
- 学術論文の執筆・発表、学会・会議・展示会でのプレゼンテーション
- 受託分析・研究サービスの実施またはサポート

必要なスキル・経験：

- 材料科学・計算化学・物理化学またはその関連分野における博士号
- MD、QM、MLのいずれかの分野における研究経験（専門性の深さよりも、学習意欲と応用力を重視します）
- Pythonプログラミング経験
- お客様・社員とのメール・電話・対面コミュニケーション、資料・スライド作成、レポート作成、学会発表を日本語ネイティブレベルで行える方
- 業務上のメール・レポート・ウェブ会議に対応できる英語力
- 出張対応が可能な方

給与・福利厚生：

シュレディンガーは、優秀な人材こそが会社を作ると考えています。そのため、競争力のある給与、賞与制度、福利厚生をご用意しています。これには退職金制度、3週間以上の有給休暇、フレックスタイム制度、豊富な会社休日、育児・介護休業制度、継続的な学習・研究支援、トレーニングプログラムが含まれています。

Applications Scientist, Materials Science - Schrödinger K.K.

[Schrödinger](https://www.schrodinger.com/) is a global leader in atomic and molecular-level simulation software, supporting the forefront of scientific research across pharmaceutical, biotechnology, and advanced materials science. Schrödinger K.K., the Japanese subsidiary of Schrödinger, Inc., is seeking an Applications Scientist to join our Materials Science team.

As an Applications Scientist at Schrödinger K.K., you will work at the intersection of cutting-edge computational science and real-world industrial application. This role offers a unique opportunity to leverage your research background while engaging directly with Japan's leading research institutions and corporations — creating meaningful scientific and commercial impact.

This is an ideal position for someone who is ready to move beyond the bench and apply their expertise where science meets business.

Who will love this job:

- Experienced in materials or polymer research using molecular dynamics (MD), quantum mechanics (QM), or machine learning (ML)
- Proficient in Python programming
- An effective communicator who can convey complex scientific concepts clearly to customers and researchers
- Passionate about the real-world application and industrial implementation of computational science, beyond traditional research roles
- A self-motivated team player who works well independently and collaboratively
- Comfortable and enthusiastic about traveling to customer sites across Japan

What you’ll do:

- Provide scientific and technical support to existing and prospective customers, including software demonstrations, facilitation of interactions between customers and product development teams, and general scientific guidance
- Troubleshoot scientific workflows, administration, and adaptation of customer modeling environments
- Advise customers on best practices for computational modeling and materials design
- Act as a bridge between customers and product development teams, gathering and sharing feedback
- Collaborate cross-functionally with Account Managers and Marketing teams to support business strategies
- Publish scientific papers and present at academic meetings, conferences, and exhibitions
- Execute or support contract analysis and research services

What you’ll need:

- PhD in materials science, polymer science, computational chemistry, physical chemistry, or a related field
- Research experience in MD, QM, or ML — we value learning agility and practical application over depth of specialization alone
- Python programming experience
- Native-level Japanese proficiency for customer and internal communications, document and slide preparation, reporting, and academic presentations
- Working English proficiency for emails, reports, and web conferences
- Willingness and ability to travel as required

Pay and Perks:

Schrödinger understands that it’s people that make a company great. Because of this, we’re prepared to offer a competitive salary, bonus plan, and benefits, which includes mutual-aid retirement plans, over three weeks of paid vacation time, numerous company holidays, a parental and caregiver leave program, and healthcare through our partnership with the Japanese Health Insurance Association, and professional development opportunities including trainings and continuous education support.

## 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

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- [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
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