Computational chemistry engineer

Job Description

Utilizing the experience of computational chemistry and simulation at the Materials Informatics Promotion Office or Physical Properties Analysis Office of Yokkaichi Research Center, it will be deployed and applied to the company’s material development. 

[Main products and services] 

We provide various high-performance materials. 

・ General-purpose synthetic rubber, special synthetic rubber 

・ Thermoplastic elastomer (TPE) (having the characteristics of synthetic rubber and synthetic resin) 

・ Emulsion (synthetic rubber and synthetic resin dispersed in liquid) 

・ ABS / AES resin (mechanical properties) ) And functional chemicals (high-performance dispersants, high-performance sol-gels, industrial particles, battery materials) , thermal management materials (contributing to energy savings) 

[Specific operations] 

Big Data analysis Machine learning and molecular search / design using neural networks and neural networks .

[Company appeal] 

Work style innovation is promoted and it is easy to work. 

 

Awarded “Health Management Superior Corporation-White 500-” for the second consecutive year in 2017 and 2018. Our efforts to promote health maintenance / promotion measures and review work styles are highly evaluated. 

 

・ “Nadeshiko Brand” awarded for the second consecutive year in FY2016 and FY2017 

・Improvement of the ratio of female employees  certified by the next generation certification mark (Kurumin) 

and the ratio of managers, childcare and nursing care Efforts for the work-life balance support system are highly valued. 

In addition to women, we are engaged in a wide range of activities to promote diversity, such as promoting the success of foreign employees and promoting the “inclusion culture” to accept diverse human resources.

Hiring requirements

[Required requirements] 

Those who meet all of the following requirements: 

・ Graduated from a science and technology university (Chemistry major or informatics selection) 

・ Those who have the knowledge to select an appropriate method according to the problem and below.

(1) Those who have more than 3 years of experience in any of the following and are familiar with the theory of each methodologies / polymer simulation (coarse-grained MD, DFTB-MD, Atomistic MD, SCFT, FEM, multi-scale simulation, etc.) 

・ Materials and reaction analysis by quantum chemistry calculation 

・ Information development using materials (materials informatics, chemo informatics, bioinformatics) 

(2) Multivariable problems by machine learning and big data analysis analysis of the experience there is more than three years, who was familiar with the theory of various statistical methods. 

[plus] 

(1) If there is an organic synthesis of experience. 

(2) in collaboration with the experimental team If you are experienced with the fee development. 

(3) Python and the direction which has an R of programming experience. 

(4) If there is a Web application development experience. 

(5) If there is a SQL such as construction experience of large-scale database. 

(6) Computational Chemistry People who are bright and positive about the latest technology trends related to ICT. 

(7) Those who are bright about the latest research trends in the academic field.

Treatment conditions and salary bonus

Salary (* Preferential treatment according to regulations according to experience and ability), Monthly salary: 270,000 yen ~, salary increase (once a year, April), bonus (twice a year, June, December), trial period 3 Monthly, full commuting expenses

Welfare

Full social insurance (Employees ‘pension insurance, employment insurance, workers’ compensation insurance, health insurance), retirement allowance system, corporate pension system, employee shareholding system, property savings system, property housing loan system, mutual aid association, dormitory (single under 35) ), Company housing (up to 45 years old / transferred for company convenience / single employee), work / childcare coexistence support system (short-time work system / home work system / childcare leave return support benefit / babysitter benefit), family allowance (From 27,000 yen per month / for non-managerial employees, paid according to the number of adopted children under the age of 18), housing allowance (13,000 yen per month / in the case of the main livelihood owner and the principal), meal subsidy (month ¥ 50,000 / worker at the head office), overtime allowance, late night allowance, holiday attendance allowance, training system (training by job type and rank), MBA / MOT education, overseas study abroad system, trainee system, training facility, various sports facilities, etc. , Benefit Station 

Selection process

▼ First interview (department manager, HR manager) 

▼ Aptitude test (SPI, aptitude test, English proficiency test) 

▼ Final interview (two officers, HR manager, HR manager) 

* The number of selections and content will change in some cases.

Holiday

[Annual holidays: 123 days (FY2018)] 

Complete weekly holiday (Saturday, Sunday), Holidays, Mayday, Foundation anniversary (Friday the previous day of December 2nd), New Year holidays (12/30/31) , 1 / 2.3), annual paid leave (from the first year 11 days to a maximum of 21 days * digestion rate of 80% or more), Keigo leave, maternity leave, maternity leave, childcare leave system (meeting system for childcare leave) , Nursing leave, nursing leave, volunteer leave, working leave (10 years or more / 50 years old and 15 years or more, 5 days each)

・ The working conditions, etc. specified in this job offer may differ from the working conditions at the time of conclusion of the labor contract. 

・ This job offer includes information that has not been disclosed to the public, so it is prohibited to provide or forward it to third parties.