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| 部署・役職名 | 神奈川（藤沢市）/Associate Director Principal Scientist, Computational Chemistry, Research |
|---|---|
| 職種 | |
| 業種 | |
| 勤務地 | |
| 仕事内容 |
【OBJECTIVES/PURPOSE】 ・Work as part of a multi－disciplinary team of computational chemists, medicinal chemists, structural biologists, data scientists, pharmacologists and biologists and provide computational expertise to advance drug discovery projects. ・Contribute to drug discovery efforts across various modalities including small molecules, PROTACs, RNA inhibitors, peptides, and more. ・Implement and execute innovative computational methodologies and tools such as AI, free energy, and cheminformatics approaches to support drug discovery efforts. 【ACCOUNTABILITIES】 Principal Scientist ・Independently design and execute computational strategies for drug discovery projects ・Contribute as a key scientific expert within one or more project teams ・Develop and apply innovative computational methodologies to solve project challenges ・Influence project decisions through data－driven insights ・Mentor junior scientists and contribute to scientific excellence Associate Director ・Provide scientific and strategic leadership across multiple drug discovery projects ・Shape computational chemistry strategies and influence portfolio－level decisions ・Drive adoption of emerging technologies （e.g., AI/ML, generative chemistry） across projects ・Act as a thought leader to project teams and senior stakeholders ・Influence cross－functional teams without direct line management authority ・Mentor and elevate scientific capabilities across the organization 【DIMENSIONS AND ASPECTS】 Technical/Functional （Line） Expertise ・Expertise in a variety of computational tools and methodology including generative chemistry, large－scale virtual screening, molecular dynamics, homology modeling, quantum mechanics, pharmacophore elucidation, data mining, machine learning, cheminformatics and more. ・Significant industry experiences contributing as a computational chemist on drug discovery projects against several therapeutic arias and a variety of drug discovery targets （GPCRs, Kinases, Ion channel etc.）. ・Strong impact in progressing discovery projects from hits to clinical leads ・Familiarity with organic and synthetic chemistry concepts. ・Provide project teams with computational strategies to inform, influence, and prioritize designs for potency/selectivity and improve ADME/Tox endpoints. ・Ability to effectively integrate emerging generative chemistry methods and other modern machine learning and artificial intelligence （AI） applications in small molecule drug discovery. ・Proficiency with state－of－the－art Computational Chemistry software. Leadership ・Scientific leadership within project teams ・Mentors junior scientists ・Contributes to method development and innovation ・Influences direction across teams and functions ・Drives innovation and capability building at scale Interaction ・Collaborate with cross－functional global teams ・Present findings to internal stakeholders ・Engage with senior leadership and external partners as needed 【従事すべき業務の変更の範囲】 会社の定める範囲 |
| 労働条件 |
■勤務地 神奈川県藤沢市村岡東 ◎就業場所変更の範囲：会社の定める範囲 ■給与 ◎想定年収1,200万円〜1,500万円程度 ・諸手当：通勤交通費、借家補助費、勤務時間外手当など ・昇給：原則年1回 ・賞与: 原則年2回 ■勤務時間 ◎就業時間9:00〜17:45 フレックスタイム制度あり ■雇用形態 正社員 雇用期間の定め：無 ■休日休暇 ◎年間休日123日程度 ・週休二日制（土日） ・祝日 ・メーデー ・年末年始 ・年次有給休暇 ・特別有給休暇 ・傷病休暇、ファミリーサポート休暇 ・産前産後休暇、育児休暇、子の看護休暇、介護休暇 ・ボランティア休暇 ■待遇・福利厚生 ・社会保険完備 ・独身寮・社宅 ・財産形成：従業員持株会、財形貯蓄、住宅融資、企業年金制度 ・保養所（全国各地） ・人材育成支援制度 ・テレワーク勤務制導入（対象社員） |
| 応募資格 |
【必須（MUST）】 ≪必須≫EDUCATION, BEHAVIORAL COMPETENCIES AND SKILLS ・PhD degree in Chemistry or equivalent ・Ideally 5＋ years of experience in industry （pharma/biotech） drug discovery experience required |
| 受動喫煙対策 | 屋内禁煙 |
| 更新日 | 2026/05/25 |
| 求人番号 | 8443290 |
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