Title
–
Computational Chemist (DFT)
Budget -
€65,000 basic, 10% annual bonus, participation in Company ESOP, Healthcare and company pension scheme
Location
– South Dublin, Onsite 4 days per week.
Ingenio
is delighted to be working with a company that is working with a number of leading global pharma companies, solution providers, and research institutes on implementing its technology for
Crystal Structure Prediction (CSP)
to drive major value
enhancements in the drug research & development process
. This client is backed by a combination of national and European funding & investment, and has received numerous awards for its innovative technology.
Responsibilities:
* Collaborate closely with a highly skilled team and the CTO to
design, develop, and implement computational modules and algorithms
that drive our innovative solutions,
* Be a
leader in the field of crystal-structure prediction
for pharmaceutical drug development,
* Assist in defining research objectives
and carrying out original research, which supports the company's R&D and product and services programmes,
* Document the progress and outcomes of both R&D and product and services tasks internally, and assist in delivering technical white papers,
* Provide technical support for the company's engagements with customers and partners
.
Qualifications:
* Applicants must have a Ph.D. (or in the process of finalising) or equivalent experience (min. 2+ years beyond undergraduate degree) in chemistry, physics, or material science.
Mandatory Requirements:
* You must know DFT in organic modules.
* Running atomic scale material modelling of gas phase and periodic systems,
especially proficiency in running Density Functional theory-based electronic structure modelling software such as VASP, Quantum Espresso, Orca, Turbomole, Gaussian, Psi4, etc. and interpretation of their outputs.
* Crystal structure prediction experience
* In-depth knowledge of solid-state crystallisation of molecular crystals, co-crystals, salts, hydrates/solvates, and amorphous.
* Proficiency in scientific and parallel programming
, preferably in Python, and experience with version control using git.
If this sounds like you, click apply now