Applications Scientist at Schrödinger

New York, New York, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Pharmaceuticals, Drug DiscoveryIndustries

Requirements

PhD in computational chemistry, bioinformatics, structural biology, biophysics or a related field
Deep knowledge of at least two biologics modalities, such as antibodies, peptides, enzymes, and oligonucleotides
Demonstrable Python programming experience with bioinformatics and biologics data structures, databases, and administration of software or applications
Excellent English language skills (both verbal and written)
Willingness to travel

Responsibilities

Provide scientific support to current and prospective customers, which includes demonstration of optimal use of our life science software suites, facilitation of interactions between customers and product development teams, and general scientific guidance
Work with biologics customers to translate their scientific vision into robust modelling and data analysis workflows
Troubleshoot customers’ scientific workflows, administration, and adaptation of their modelling environment
Engage in cutting-edge methodological scientific research and advise our customers on best practices for computational modelling
Publish scientific papers and present at conferences

Skills

Python

Bioinformatics

Computational Chemistry

Structural Biology

Biophysics

Antibodies

Peptides

Enzymes

Oligonucleotides

Molecular Modelling

Databases

Software Administration

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.

Land your dream remote job 3x faster with AI

Try Jobo Free