PKPD and QSP modeler, Neuroscience – Principal Scientist Associate Scientist, DMPK & Modeling

Takeda

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profile Job Location:

Fujisawa - Japan

profile Monthly Salary: Not Disclosed
Posted on: 15 hours ago
Vacancies: 1 Vacancy

Job Summary

By clicking the Apply button I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takedas Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

タケダの紹介 (Introduction of Takeda)

タケダでは常に患者さんを中心に考え世界中の人々により健やかで輝かしい未来をお届けすることを目指していますまたタケダは業界を牽引するグローバルリーダーであり従業員は四つの優先順位患者さん中心社会との信頼関係構築レピュテーションの向上事業の発展とタケダイズム誠実公正正直不屈のもと一致団結していますタケダイズムは私たちの信念であり正しい方向へ導く羅針盤です私たちは日々の業務においてタケダイズムを体現しています

私たちと一緒に世界中の人々のいのちに貢献しさらなる成長と活躍を目指しませんかそのようなあなたを湘南研究所神奈川のPK/PDおよびQSPモデラーニューロサイエンス領域 プリンシパルサイエンティストまたはアソシエイトサイエンティストとしてお迎えします

Takeda is unwavering in our commitment to patients. With the patient at the center of everything we do we continue to innovate and drive changes that will better their lives. Takeda is a global industry leader we are united by our four priorities (Patients Trust Reputation and Business) and our shared values of Takeda-ism: Integrity Fairness Honesty and Perseverance. Takeda-ism is more than just a word. Its a belief and a mindset which guides our decisions behaviors and interactions. Its how we strive to work and live every day.

Are you looking for a patient-focused innovation-driven company that will inspire you and empower you to shine Join us as a PK/PD and QSP modeler Neuroscience Principal Scientist / Associate Scientist in our Shonan Kanagawa location.

目的ミッション (Objective / Purpose)

PK/PDおよびQSPモデラーニューロサイエンス領域 プリンシパルサイエンティストまたはアソシエイトサイエンティストとしてDMPK & Modeling 部門の一員となり生物学薬理化学バイオロジクス前臨床安全性評価薬物代謝トランスレーショナルメディシン臨床薬理および臨床開発の各チームの橋渡し役を担っていただき定量的数理モデルの解析を通じて創薬の研究開発における意思決定に影響を与えることが期待されています

As a PK/PD and QSP modeler Neuroscience Principal Scientist / Associate Scientist in DMPK & Modeling you will be empowered to interface between biology/pharmacology chemistry/biologics nonclinical safety assessment drug metabolism translational medicine clinical pharmacology and clinical research to influence drug discovery and development.

職務内容 (Accountabilities)

  • 神経変性疾患および神経筋疾患を含むさまざまな神経疾患を対象とした新規治療薬について定量的数理モデルを構築し創薬の研究開発における意思決定を推進します
  • 前臨床生物学薬理ケミストリーバイオロジクス前臨床安全性評価トランスレーショナルメディシン臨床薬理および臨床開発などのクロスファンクショナルチームと協働し標的とする生物学的経路と新規治療薬の相互作用およびそれらが病態進行に与える影響について数理モデルに基づいて理解を深めることに貢献します
  • チームを巻き込んだ最適なモデリングシミュレーション戦略を立案し実行します創薬候補物質の選択試験デザインの最適化バイオマーカー選択に関する意思決定を支援加速するためトランスレーショナルなPK/PD/efficacy model mechanistic modelあるいはsystems modelを設計構築します
  • 臨床試験に向けてヒトでの薬理活性有効用量投与スケジュール安全域を予測しますそのために臨床段階の比較薬から得られるベンチマーキング情報やそれらのリバーストランスレーションから得られる知見を有効に活用します

  • Drive decision-making in drug discovery and development by building a quantitative model of novel therapeutic agents to treat various neurological diseases including neurodegeneration and neuromuscular diseases.
  • Work on cross-functional teams with preclinical biology/pharmacology chemistry/biologics nonclinical safety assessment translational medicine clinical pharmacology and clinical research to develop a quantitative model-based understanding of the interactions of target biological pathways and novel therapeutic agents and their impact on disease progression.
  • Formulate and implement team-engaged right modeling & simulation strategy. Design and build translational PK/PD/efficacy and mechanistic and/or systems models to assist and accelerate decisions around drug candidate selection study design optimization as well as biomarker selection.
  • Enable translational predictions of human pharmacologically active/efficacious dose dosing schedule and safety margin for clinical trials. Leverage clinical benchmarking insights from clinical comparators and/or their reverse translation.

学歴能力要件 (Education & Competencies)

  • 化学工学生物医学工学製剤薬学数学物理学分野などのMSPhDPharmDを有すること
  • 数理モデル構築の高い能力MATLABSimBiologyNONMEMMonolixPhoenixPythonRなど一般的に用いられる言語ツールのいずれかの使用経験
  • 生体システムの数理モデルを用いた定量的解析を行った経験特に神経疾患領域にモデリングシミュレーションアプローチを適用した経験もしくはその分野への強い関心があることが望ましい
  • 複雑な情報を解析し重要な科学的問いを特定できる優れた分析能力
  • 複雑な数理モデル解析の結果をクロスファンクショナルなチームメンバーに対して分かりやすく簡潔に伝えるコミュニケーション能力
  • グローバルチームの下で業務を推進していくための読み書き及び会話の両面での良好なビジネス英語力TOEICスコア750点以上など

  • MS/PhD/PharmD in chemical or biomedical engineering pharmaceutical sciences mathematics physics or equivalent area.
  • Strong competency in building mathematical models is required (in commonly used languages such as MATLAB SimBiology NONMEM Monolix Phoenix Python or R)
  • Experience in mathematical modeling of biological systems. Especially an experience and/or interest in applying modeling and simulation approaches to neurological diseases is preferred.
  • Demonstrated strong analytical skills to evaluate complex information and identify key scientific questions.
  • Ability to communicate complex modeling results clearly and concisely to cross-functional audience is critical.
  • Good English communication skill in both written and verbal (TOEIC score 750 etc.) to work under global team setting

Takeda Compensation and Benefits Summary:

  • Allowances: Commutation Housing Overtime Work etc.

  • Salary Increase: Annually Bonus Payment: Twice a year

  • Working Hours: Headquarters (Osaka/ Tokyo) 9:00-17:30 Production Sites (Osaka/ Yamaguchi) 8:00-16:45 (Narita) 8:30-17:15 Research Site (Kanagawa) 9:00-17:45

  • Holidays: Saturdays Sundays National Holidays May Day Year-End Holidays etc. (approx. 123 days in a year)

  • Paid Leaves: Annual Paid Leave Special Paid Leave Sick Leave Family Support Leave Maternity Leave Childcare Leave Family Nursing Leave.

  • Flexible Work Styles: Flextime Telework

  • Benefits: Social Insurance Retirement and Corporate Pension Employee Stock Ownership Program etc.

Important Notice concerning working conditions:

  • It is possible the job scope may change at the companys discretion.

  • It is possible the department and workplace may change at the companys discretion.

Locations

Fujisawa Japan

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

Required Experience:

Staff IC

By clicking the Apply button I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takedas Privacy Notice and Terms of Use. I further attest that all information I submit in my employment appl...
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Key Skills

  • Machine Learning
  • Python
  • Data Science
  • AI
  • R
  • Research Experience
  • Sensors
  • Drug Discovery
  • Research & Development
  • Natural Language Processing
  • Data Analysis Skills
  • Toxicology Experience

About Company

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Takeda is a patient-focused, R&D-driven global biopharmaceutical company committed to bringing Better Health and a Brighter Future.

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