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

5 Jan 2024
Job Information

Organisation/Company

RIKEN

Department

Administrative Support Office

Research Field

Anthropology
Chemistry
Pharmacological sciences
Medical sciences
Neurosciences
Technology
Ethics in health sciences
Agricultural sciences
Environmental science
Biological sciences
Engineering
Computer science
Information science

Researcher Profile

Leading Researcher (R4)

Country

Japan

Application Deadline

20 Feb 2024 - 23:59 (UTC)

Type of Contract

Permanent

Job Status

Not Applicable

Hours Per Week

See description

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

[Background of the recruitment and description of the project]
* 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.

* details of the business
RIKEN is Japan's largest and most comprehensive research organization for basic and applied science.

[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

[Work location]
* Address
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.

[Number of hired]
Number of hired:1 person(s)
Number of hired 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)

Requirements
Additional Information
Benefits

[Compensation]
Annual salary:7 million yen
Wages description: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: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.
Employment type:Contract employee
Employment type description:Unit Leader
Contract period:Nontenured
Contract period description: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:Probationary period present
Probationary period description:In principle, the first two months of employment is considered a trial period.

[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).

Additional comments

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.

Work Location(s)

Number of offers available

1

Company/Institute

RIKEN

Country

Japan

City

Kanagawa

Geofield

Where to apply

Website

https://jrecin.jst.go.jp/seek/SeekJorDetail?fn=0&ln=1&id=D123121792&ln_jor=1

Contact

City

Saitama

STATUS: EXPIRED