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・高分子・計算化学・物理化学またはその関連分野における修士号あるいは博士号
• 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。

Application Scientist, Materials Science - Schrödinger K.K.

Schrödinger 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 Application Scientist to join our Materials Science team.

As an Application 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:

• Master’s Degree or 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 Appier 

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.

About the role

AI is reshaping how brands connect with consumers — and at Appier, we’re at the forefront. Our Playable Ads team builds AI-powered ad experiences — from interactive playable formats to video ads — that drive dramatically higher engagement and conversion for the world’s leading apps and games. We’re looking for a Senior Machine Learning Scientist to push the boundaries of what’s possible — applying cutting-edge ML, generative AI, and optimization techniques to create smarter, more compelling ad creatives at scale.

If you’re excited about turning the latest advances in AI into products that reach millions of users, and you thrive at the intersection of research and real-world impact, we’d love to talk.

What You’ll Work On

• Apply ML and generative AI techniques to problems such as creative optimization, user behavior prediction, engagement modeling, and dynamic content generation for various creative formats.
• Own the end-to-end ML lifecycle — from problem framing and experimentation through to production deployment and continuous improvement.
• Collaborate closely with product, engineering, and design teams to translate business goals into well-defined ML solutions.
• Conduct offline and online evaluation, A/B testing, and performance monitoring to continuously improve model quality and business impact.
• Stay current with the latest research in areas like LLMs, multimodal models, reinforcement learning, and recommendation systems, and proactively propose innovative applications to the team.
• Mentor fellow scientists and contribute to the team’s technical standards and culture.

What We’re Looking For

[Minimum qualifications]

• Master’s or Ph.D. in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or a related field.
• Solid understanding of modern ML models and algorithms, with hands-on experience in at least one area such as prediction/optimization, generative models, recommendation systems, computer vision, or reinforcement learning.
• Proficient in Python and ML frameworks such as PyTorch or TensorFlow.
• Practical experience taking ML models from prototype to production, including pipeline development and performance monitoring.
• Strong analytical and problem-solving skills with the ability to diagnose model behavior and improve training pipelines.
• Clear communicator who can explain technical ideas to both technical and non-technical stakeholders and enjoys working in a fast-paced, collaborative environment.
• Proficient in using LLM-powered development tools (e.g., GitHub Copilot, Cursor, ChatGPT) to accelerate productivity.
• Ability to balance cutting-edge research with time-to-market constraints, delivering iterative PoCs that validate product hypotheses and translate into production-ready solutions.

[Preferred qualifications]

• Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, KDD, RecSys).
• Experience in the advertising technology or MarTech domain.
• Contributions to open-source projects or active involvement in research communities.

#LI-AK1

Strategic Deployment Manager, Japan

Schrödinger is a leading computational science company headquartered in New York, NY, pioneering the use of physics-based molecular simulation and machine learning to accelerate drug discovery and materials design for the world's top pharmaceutical and biotech organizations.  Schrödinger KK, a Japanese subsidiary of Schrödinger, is looking to hire a Strategic Deployment Manager to join us in our mission to improve health and quality of life through the development, distribution, and application of advanced computational methods!  

As a member of our Enterprise Informatics team, you will play a vital role in all stages of the Schrödinger platform deployment for customers, from initial project scoping through to long term successful adoption.  

Click here for more information about how the Schrödinger Platform is helping shape the future of collaborative therapeutic design. 

Who will love this job:

• A pharmaceutical or chemical enterprise software technology expert who is knowledgeable about industry best practices and enjoys interacting with medicinal chemists, computational chemists, biologists, and project leadership
• A scientist who understands project management in a corporate research setting (direct experience with pharmaceutical drug discovery is a huge plus!)
• An effective communicator with excellent organizational skillsA customer-service oriented deployment manager who is passionate about helping drive user success 

What you’ll do:

Customer Development & Success

• Manage LiveDesign implementation projects end-to-end, from early-stage discovery through deployment, training, and sustained adoption
• Serve as the primary contact for existing accounts, providing responsive support including inquiry resolution, feature utilization guidance, and consultative advice
• Conduct regular usage monitoring, synthesize customer feedback, and share actionable insights internally to inform product improvement and roadmap decisions

Pre-Sales Activities 

• Identify and prioritize target accounts within the pharmaceutical and biotech sectors; design strategic engagement approaches tailored to each
• Plan and execute high-impact value demonstration activities including workshops, seminars, and on-site meetings
• Lead support Proof of Concept (PoC) engagements with prospective customers, ensuring clear value demonstration and successful execution

Cross-Functional Collaboration

• Partner with Account Managers, Application Scientists, Solution Architects, and the Education Team to drive account growth and platform adoption
• Work closely with Product Management and Engineering to represent real-world customer needs and influence the LiveDesign product roadmap 

What you’ll need:

• B.Sc. in a life science (M.Sc. or Ph.D. preferred)
• At least three years of experience in a life science field related to drug discovery
• Hands-on experience with computational chemistry or cheminformatics in a research or corporate setting
• Proven experience deploying complex IT or software solutions in enterprise environments; hands-on experience with SaaS platforms preferred
• Native Japanese language skills for all business communications, content creation, and market research
• Business level English communication skills for collaboration with global teams and stakeholders in the other region
• Direct experience in pharmaceutical drug discovery is a strong advantage 

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.