Computational Materials Scientist, Atomic Layer Processing and Chemical Reactivity

Schrödinger seeks a

Computational Materials Scientist in Atomic Layer Processing and Chemical Reactivity to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods.

As a member of our Materials Science Modeling Services team, you’ll work closely with colleagues to help customers benefit from our computational tools in solving problems in industrial research and development.

Who will love this job

A computational chemistry expert who has had hands-on experience with studying real-world materials science problems at the atomic level, especially with periodic density functional theory (DFT)

A scientist who has engaged with research questions in surface chemistry and molecular reactivity

An excellent communicator and team player who can translate complex scientific concepts for both technical and non-technical stakeholders

A detail-oriented scientist eager to work on diverse projects with industrial partners

An innovative and creative thinker who experiments with new tools and techniques

What you’ll do:

Perform simulations-focused research projects using Schrödinger tools

Execute and quickly analyze thousands of simulations

Collaborate with cross-functional teams to identify and implement atomic simulation solutions for semiconductor and other industries

Efficiently run multiple projects, meet deadlines and manage stakeholders

Present technical results in internal and external meetings

Contribute to scientific publications and research projects

What you should have

PhD in computational materials science, or in related fields of chemistry, physics or engineering

Evidence of deep level of expertise running periodic DFT code

At least three years of experience modeling surface reactivity, such as gas-surface interactions or the mechanism of thin-film deposition and etch (ALD/CVD)

Hands-on experience with advanced techniques for computing chemical kinetics, reaction networks, and complex mechanisms

Familiarity with semi-empirical methods or Machine Learning Interatomic Potentials, along with their use for molecular dynamics (MD)

Proven expertise in launching and analyzing large scale simulation projects

Use of high-performance computing (HPC) environments and Linux operating systems

Proven research track record of publications in the computational modeling field

Pay and perks

Our benefits include local transport reimbursement, a BahnCard 50, our Employee Equity Plan, the EGYM Wellpass (corporate fitness program), bike leasing, an employee volunteer program, our donation match program, access to the corporate benefits platform, a dedicated counseling service, and our travel insurance. When you’re in the office you can profit from our central location, the charging of personal devices with green energy, stocked kitchens with coffee/tea, fruit, snacks, and beverages, and the organization of team-building and social events.

Estimated base salary range: €70k to €150k. Actual compensation package is dependent on a number of factors, including, for example, experience, education, degrees held, market data, and business needs. If you have any questions regarding the compensation for this role, do not hesitate to reach out to a member of our Strategic Growth team.

As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission.

We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, or sexual orientation.

To us, "diversity" isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability.