ケミカル医薬品プロセス開発研究におけるデータ化学研究者 / Process Research and Development for Chemical Pharmaceuticals (Data Chemistry Expert)

TOP I 2030」の実現に向けたケミカル医薬品原薬プロセス機能の強化

TOP I 2030と言う2030年に向けた成長戦略を掲げ、世界のトップイノベーターとなる事を目指しており、中分子を含めた分子の複雑化、更なる研究生産性の向上、次世代の技術開発のため、ケミカル医薬品プロセス開発におけるデータ化学を強化しています。データ化学を活用して、ケミカルプロセスの各単位操作の理解を深めるとともに、化学反応や化合物の物性に対する予測力を強化してプロセス開発の一層の高速化を目指していきます。

AIや機械学習を用いた実験計画やデータ解析

Background to recruitment :

Strengthening research capability on process research and development for chemical pharmaceuticals to realize new growth strategy "TOP I 2030".

We have a growth strategy towards 2030 called TOP I 2030, aiming to become a world-leading innovator. To address the increasing complexity of molecules including medium-sized molecules, further improve research productivity, and develop next-generation technologies, we are strengthening data chemistry in chemical pharmaceutical process development.

By utilizing data chemistry, we aim to deepen our understanding of each unit operation in chemical processes and enhance our predictive capabilities of chemical reaction and physical properties to further accelerate process development.

We are seeking data chemistry researchers to work with us on innovating chemical process development through the recent utilization of intermolecular interaction energy calculations, conformational analysis, quantum chemical calculations, statistical methods, and other approaches.

Job duties :

• While collaborating with process chemists and researchers from other fields, the following data chemistry tasks are engaged ;
• Analysis and prediction of reaction process, molecular crystallization and liquid-liquid separation, etc., utilizing intermolecular interaction calculations, conformational analysis, machine learning, and other computational methods
• Process understanding and prediction using data chemistry
• Prediction of molecular behavior using conformational analysis through molecular dynamics simulations
• Reaction prediction using statistical methods and quantum chemical calculations
• Experimental design and data analysis using AI and machine learning 応募資格／Qualifications 求める経験：

3年以上

Pythonを用いたスクリプト作成技術

Rocheグループの一員、グローバルトップイノベーターの一員として、国内外のステークホルダーとのコラボレーションなど、世界に向けた活躍の機会があります。

CMC開発全体のプロジェクト推進業務やサプライチェーンマネジメント業務、生産技術研究業務など、当社グループ内の多様なキャリアの機会があり、実際に多くのメンバーが幅広く活躍しています。

Desired experience :

At least 3 years of practical experience in data analysis using quantum chemical calculations, molecular dynamics simulations, intermolecular interaction calculations and statistical methods at a university or company

Data analysis using multivariate analysis

Process chemistry-related research based on experiments (organic reaction and crystallization, liquid-liquid separation, etc.)

Desired skills / knowledge / abilities :

Master's degree in medicine, pharmacy, science, engineering or agriculture (Ph.D. is preferred).

Knowledge and experience of computational chemistry such as quantum chemistry and conformational analysis etc.

Knowledge and experience of statistics and its computational software.

Business communication skills in English.

Even better if you have the following experience :

Scripting skills with Python or other relevant languages

Desired competencies :

Position features :

In this role :

To be decided in accordance with our criteria.

The notification of working conditions will be made in an electronic file.

If you apply, please understand this point.