Medicinal Chemist, AI-Driven Drug Discovery

Medicinal Chemist, AI-Driven Drug DiscoveryAbout Ten63 Therapeutics

Ten63 Therapeutics is focused on improving human health by developing better, more durable therapeutics against cancer and some of the world's most lethal diseases. We are leveraging our proprietary in silico platform BEYOND to generate novel therapeutics to hit previously undruggable targets. We're pioneering an engineered approach to drug discovery by scaling quantum simulations and fusing them with generative chemistry to tackle previously undruggable, high-impact targets. Our team of pioneering scientists, engineers, drug hunters, and quantum chemists values passion, teamwork, out-of-the-box thinking and determination to solve even what seems impossible. We embrace diversity and are committed towards inclusion.

The role

We are hiring a medicinal chemist who wants to apply their expertise within an AI-driven discovery engine. The successful candidate will impact programs using structure-based drug design and AI-tools including our proprietary BEYOND platform. You will be a part of dynamic, cross-functional teams that successfully delivers drug discovery pipeline goals. The responsibilities will include, but not be limited to, those listed below

You will lead or co-lead internal pipeline programs and partnered programs, working closely with computational chemists, quantum chemists, ML scientists, software engineers, and biologists.

- Location: US-based. Remote, hybrid, or on-site in Durham, NC

- Reports to: Head and Vice President of Chemistry

- Level: Principal Scientist to Director, depending on experience

- Travel: For remote employees, ~4 weeks on-site per year during company-wide on sites

Responsibilities

• As a project leader, you will help push internal pipeline programs as well as programs in collaboration with external partnerships
• Provide impute for the design and development of new AI tools
• Apply these tools to the discovery of new chemical entities to drug traditionally undruggable targets

Requirements

• Ph.D. in synthetic organic chemistry or medicinal chemistry, with 5–10 years of pharmaceutical or biotech industry medicinal chemistry experience. M.S. with 10-15 years, or B.S. with 15-25 years of experience.

• Deep working knowledge of structure-based design

• Strong command of SAR-driven design, multi-parameter optimization, physicochemical properties, ADME and pharmacology

• Track record of identifying critical liabilities in a lead series and directing design efforts to correct these liabilities

• Experience managing external CROs: writing requests, reviewing synthetic reports and QC data, and attending weekly teleconferences

• Comfort working directly with computational output — 3D poses, descriptors, large data sets

• Clear oral and written communication – effective communication explaining chemistry concepts to non-chemists and external partners.

Additional Preferred Skills

• Covalent inhibitor design experience: warhead selection, reversibility, intrinsic reactivity, kinact/Ki, selectivity against the off-target cysteine proteome.

• CNS design experience

• Experienced in pushing a program from hit to lead or candidate/DC selection, contributed to a filed IND

• Ability to work with our IP attorneys to file patent applications

What we offer

• Opportunity to work on previously undruggable targets and fundamentally change the paradigm of drug discovery
• Collaborative environment with world-class scientists, engineers, drug hunters, and quantum chemists
• Competitive compensation package including equity and an annual bonus
• Comprehensive health, life, short- and long-term disability insurance policies
• 401K matching
• Access to cutting-edge computational resources and our proprietary BEYOND platform

Ten63 Therapeutics is an equal opportunity employer. We embrace diversity and are committed towards inclusion. We encourage applications from all qualified candidates regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.