Detailed information

Ended
Date of update : 2023/12/20 End date of accepting applications : 2024/02/20
Ended
Date of update : 2023/12/20
End date of accepting applications : 2024/02/20

Work location : Kanto district - Kanagawa

Date of publication : 2023/12/21

Seeking a Unit Leader (R-CCS-PI2307)(Medicinal Chemistry Applied AI Unit)

D123121792

National research institute / Independent administrative institute

Research field : Life Science - Medical biochemistry | Life Science - Pharmaceutical chemistry and drug development sciences | Informatics - Life, health and medical informatics | Informatics - Statistical science | Informatics - Computational science

Professor level : Contract employee - Nontenured - Non-tenure track - Probationary period present

Job description

  • Background of the recruitment and description of the project

    [Research Field]
    RIKEN Center for Computational Science (R-CCS), led by Center Director Satoshi Matsuoka, is an international hub for computational science that promotes "science of computing, by computing, and for computing." R-CSS positions the technology in which RIKEN has strengths (R-CCS technology) and the software developed by RIKEN that contributes to science, technology, industry, and society (R-CCS software) as its "core competence in computational science driving science as a whole." R-CCS aims to develop these technologies, disseminate them domestically and internationally, and produce results. In addition, R-CCS utilizes its expertise to operate the supercomputer Fugaku, developed as Japan's national project, in accordance with relevant ordinances.

    HPC- and AI-driven Drug Development Platform Division aims to develop new methodologies that integrate AI, molecular simulations, and experiments to create an integrated HPC- and AI-driven life science platform that will lead to new frontiers in life science, drug discovery, and medicine. Medicinal Chemistry Applied AI Unit aims to improve the time required and cost of the hit-to-lead and lead optimization process (so-called medicinal chemistry process) by AI. The cause of the increased time and cost of the medicinal chemistry process is the difficulty in multi-objective optimization of potency and ADMET (pharmacokinetics and toxicity) at the same time. In collaboration with Kyoto University and LINC, we are building AI models for new structure generation, synthetic pathway prediction, and potency / ADMET prediction in order to speed up the medicinal chemistry process. The Unit also maintains databases for AI construction and develops design methods for new drug modalities such as mid-molecules.

  • Work content and job description

    Expected research themes
    The applicant will preside over the Medicinal Chemistry Applied AI Unit.
    The area of responsibility will be to improve the efficiency of the medicinal chemistry process using AI models. In particular, the applicant will be responsible for developing and operating a drug discovery AI platform combining activity prediction, ADMET (pharmacokinetics and toxicity) prediction, molecular structure generation, and synthetic accessibility prediction. The applicant will also contribute to maintain databases for AI model building and develop design methods for new modalities such as mid-molecules.

  • Assigned department

    Existing departments

    Medicinal Chemistry Applied AI Unit HPC- and AI-driven Drug Development Platform Division RIKEN Center for Computational Science

Job type

  • Professor level

Research field

  • Life Science - Medical biochemistry
  • Life Science - Pharmaceutical chemistry and drug development sciences
  • Informatics - Life, health and medical informatics
  • Informatics - Statistical science
  • Informatics - Computational science

Wages

  • Annual Salary : 7 million yen ~

    Salary will be an annual salary based on experience, ability, and performance, and will consist of a base salary and a variable salary. The variable salary will be determined each fiscal year based on experience, ability, and performance. The monthly base salary is 601,500 JPY for a Unit Leader as of April 1, 2024. The monthly base salary and variable salary are subject to change due to amendments to RIKEN regulations.
    Commuting and housing allowances will be provided. Social insurance will be applied.

    The approximate amount of annual salary at the time of employment:
    The monthly salary at the time of employment will start from 601,500 JPY for Unit Leader, with additions based on performance and experience. The monthly annual salary (base salary plus variable salary) at the time of employment for a person with about 20 years of experience, ability, and achievement after completion of the doctoral program will be about 810,000 JPY.

Working hours

  • Working hours :09:00-17:20

    Break time :12:00-12:50

    Holidays : Days off include public holidays, New Year's holidays (Dec. 29 - Jan 3), and RIKEN Foundation Day.
    Paid leave includes annual paid leave (up to 20 days per year depending on the month of employment), special paid leave (childcare, family nursing care, etc.), and work-life balance holidays (up to 7 days per year depending on the month of employment).

    Overtime and other explanations : Work hours: 9:00 to 17:20 (lunch break 12:00 to 12:50). However, the employee may change starting and finishing times at their own discretion if it does not interfere with work performance.

Application requirements

Qualifications

  • Education and Degree Requirements

    Ph.D. / Doctor

    The applicant must have a PhD degree or equivalent with proficiency in both AI and simulation for candidate drug molecules and be able to demonstrate sufficient abilities in leading the Medicinal Chemistry Applied AI Unit in a research management role. Applicant is expected to facilitate synergy between computer science and computational science, and to have a long-term vision to explore research and development of common infrastructure supporting the wide-ranging fields of computer science. In particular, applicants should have the ability to drive the research fields related to the above job duties on an international level. Applicants of all nationalities are welcome. Furthermore, applicants must be able to balance cooperation with independent research and have the management and communication skills necessary to carry out the work.

Employment Type

  • Contract employee

    Unit Leader

Contract period

  • Nontenured - Non-tenure track

    1.Fixed-term employment/one-year basis contract for a full-time management position. Renewable based on evaluation, up to seven years from the initial date of hire.
    2.RIKEN may adjust the above maximum period of renewability based on a) the employee's abilities, workload at the time of contract completion, performance and work attitude and b) the continuation of the employee's center, laboratory or project and RIKEN's management situation and budget at the time. In principle, employment contracts will not be renewed for individuals older than 65 years.
    RIKEN has indefinite-term positions, which are subject to the mandatory retirement age of 60. There is a subsequent re-employment program allowing hiring until age of 65. Any scientists, including fixed-term Unit Leaders of RIKEN who have been hired through this open call, are eligible to apply to open calls for indefinite-term positions.

    Probationary period present

    In principle, the first two months of employment is considered a trial period.

Work location

  • 230-0045 Kanagawa 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama-shi, RIKEN Center for Computational Science (Yokohama Campus)

    RIKEN has implemented a work-from-home system. Employees can work from home in accordance with the prescribed procedures.

Compensation

  • Various systems

    Pay increase system : Salary will be an annual salary based on experience, ability, and performance, and will consist of a base salary and a variable salary. The variable salary will be determined each fiscal year based on experience, ability, and performance.

    Transportation expenses : available

    Others : Mandatory membership in the RIKEN Mutual Benefit Society (RIKEN Kyosaikai).
    There are also additional leave systems such as maternity leave, childcare leave, and family nursing care leave.

  • Insurance

    Employees' Health Insurance : available

    Employees' Pension Insurance : available

    Worker's accident insurance : available

    Employment insurance : available

    Others : available

  • Measures for preventing passive smoking at the workplace

    No smoking on site.

  • Supplementary explanation of compensation

    The Yokohama Campus has an on-site daycare, RIKEN Kids Yokohama. For details, please send an email to the HR at kids-yk-hr [at] ml.riken.jp.

    RIKEN is actively undertaking initiatives to promote gender gender equality and diversity, and moving forward with the establishment of a diverse and vibrant research environment. If multiple candidates are found to have the same aptitude following a fair assessment, active efforts will be made to recruit female candidates.

    Also, eligible for an exemption from repayment for category 1 scholarship loans provided by the Japan Student Services Organization before fiscal year 2003, and eligible to apply for the MEXT Grants-in-Aid for Scientific Research (Kakenhi).

Application Considerations

Number of hired

    1 person(s)

  • Description

    Job title and number for calling
    Unit Leader/ 1 person (full-time/fixed-term)

  • Job content supplemental explanation

    Start of Employment
    June 1, 2024 or later (negotiable)

Application period

  • 2023/12/21~2024/02/20 Deadline for receipt

    Deadline
    Tuesday, February 20, 2024, 5:00 pm (Japan time)
    All documents, including recommendation letters, must be received by 5:00 pm on this date.

Application method

  • Attached documents

    Application Form : Online Submission
    Please refer to "job Posting URL"
    Achievements and Activities : Online Submission
    Please refer to "job Posting URL"

    Other online application forms
    Please refer to "job Posting URL"

  • Return of application documents

    Others

    Application documents will not be returned.
    Submitted documents including personal information will be used only for the purpose of applicant screening.

  • * Out of application period.

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Recruiting Institution's Web application system
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URL of this job posting

Selection / Notification of result

  • Selection

    We will conduct the screening procedures upon receipt of the applications. We will notify all applicants regardless of acceptance or rejection, but only selected candidates will move on to the interview process. Please understand that we cannot respond to inquiries about the selection results.

  • Notification of result

    The results will be notified individually by e-mail,etc.

Contact details

RIKEN

HPC- and AI-driven Drug, Development Platform Division, R-CCS

Division Manager Okuno

yasushi.okuno-ABC-@riken.jp

Please delete "-ABC-" in the above email address.
For inquiries on this open position, please contact the person named above by email:

Notes

Handling Personal Data
Submitted documents are strictly protected under the RIKEN Privacy Policy and will be used only for the purpose of applicant screening. Personal information will not be disclosed, transferred or loaned to a third party under any circumstances without authorization by the applicant.

Notes
Our laboratory actively utilizes a telecommuting system. The post currently being offered may be carried out through telecommuting provided that the required procedures are completed and approval is obtained from the supervisor. Please contact r-ccs-kikaku [at] ml.riken.jp for more information. In principle, submitted application documents will not be returned.

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