Strategic Deployment Manager, Life Science at Schrödinger

New York, New York, United States

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$100,000 – $160,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Life Science, Pharmaceuticals, Biotechnology, Chemicals, Enterprise SoftwareIndustries

Skills

Key technologies and capabilities for this role

Pharmaceutical enterprise softwareChemical enterprise softwareProject managementCustomer successProduct roadmapDeploymentTrainingCommunicationOrganization

Questions & Answers

Common questions about this position

What is the salary range for the Strategic Deployment Manager position?

The estimated base salary range is $100,000 - $160,000.

What benefits does Schrödinger offer?

Benefits include healthcare (with dental and vision), 401k, pre-tax commuter benefits, flexible work schedule, parental leave program, catered meals in the office, relaxed but engaged company culture, and over a month of paid vacation time. They also offer equity-based compensation.

Is this role remote or does it require office work?

This information is not specified in the job description.

What qualifications and skills are required for this role?

Candidates need a B.Sc. in a life science (M.Sc. or Ph.D. preferred), at least three years of experience in a life sciences field related to drug discovery, and experience with computational chemistry or cheminformatics in a research setting. Additional strengths include project management in corporate research, knowledge of pharmaceutical or chemical enterprise software, and excellent communication and organizational skills.

What is the company culture like at Schrödinger?

Schrödinger has a relaxed but engaged company culture, with perks like catered meals in the office, flexible work schedule, and over a month of paid vacation time. The company has been recognized as a Best Place to Work by Crain’s New York, BuiltIn's NYC, and Newsweek’s America’s 100 Most Loved Workplaces.

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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