Research Engineer / Scientist, Alignment Science
AnthropicSalary not specified
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Materials ScienceIndustries
Requirements
- PhD in molecular simulation of materials science, or a related field
- Willingness to commute to Tokyo office when necessary
- Python programming experience
- Native Japanese language skills for emails/phone/face-to-face communication with customers/staff, making documents/slides, preparation of reports, and conferences
- Working English skills for emails, preparation of reports, web conferences, and teleconferences
- Enthusiasm for travel
- MD simulation expert who’s worked with polymer materials
- Proficient Python programmer
- Excellent communicator and presenter with superb organizational skills
- Dedicated scientist who is willing to learn
- Self-motivated team player who takes ownership of projects and manages their own time well
Responsibilities
- Provide scientific support to current and prospective customers, including demonstration of optimal use of software suites, facilitation of interactions between customers and product development teams, and general scientific guidance
- Troubleshoot scientific workflows, administration, and adaptation of their modeling environment
- Engage in cutting-edge scientific research and advise on best practices for computational modeling
- Work cross-functionally with Account Managers, Product Managers, and the Marketing team to implement business strategies
- Publish scientific papers and present at academic meetings, conferences, and exhibitions
- Execute or support contract analysis and research service
Skills
Python
Molecular Dynamics
MD Simulation
Polymer Materials
Molecular Modeling
Computational Materials Science
Scientific Computing
Schrödinger
Computational platform for biopharmaceutical research
About Schrödinger
Schrödinger provides a computational platform that aids in the research efforts of biopharmaceutical companies, academic institutions, and government laboratories around the world. Their platform offers advanced computational tools that help in drug discovery and development across various therapeutic areas. Schrödinger's products work by using sophisticated algorithms and simulations to predict how different compounds will interact, which can significantly speed up the research process. Unlike many competitors, Schrödinger not only licenses its software but also engages in collaborative research and drug discovery programs, allowing for a more integrated approach to scientific research. The company's goal is to enhance scientific research and development through its platform, ultimately leading to the discovery of new drugs and therapies.
New York City, New YorkHeadquarters
1990Year Founded
$362.7MTotal Funding
IPOCompany Stage
Government & Public Sector, Enterprise Software, BiotechnologyIndustries
501-1,000Employees
Benefits
Health Insurance
Dental Insurance
Vision Insurance
401(k) Company Match
401(k) Retirement Plan
Flexible Work Hours
Remote Work Options
Paid Vacation
Parental Leave
Risks
Recursion and Exscientia merger creates strong AI-driven drug discovery competitor.
Avicenna's independent expansion could lead to competitive tensions with Schrödinger.
High R&D costs may strain resources despite Gates Foundation's $10M grant.
Differentiation
Schrödinger's platform supports diverse clients, including biopharma, academia, and government labs.
The company excels in rapid drug discovery, exemplified by SGR-1505's swift development.
Schrödinger's collaboration with Avicenna enhances medicinal chemistry through machine learning.
Upsides
$19.5M Gates Foundation grant boosts platform for neglected diseases, expanding market reach.
Predictive toxicology tools initiative could lead to safer, efficient drug development.
SGR-1505 discovery showcases ability to reduce drug discovery timelines significantly.
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