Senior Medicinal Chemist — AI-Driven Lead Discovery

BioSpace; Monrovia (CA); Presencial; USD 150.000 - 219.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Full medical, dental, vision coverage

Life and disability insurance

Retirement plan with 3% safe harbor

Descripción de la vacante

Terray Therapeutics is seeking a motivated synthetic chemist to join our Preclinical Development team. You will contribute to hit‑to‑lead and lead optimization programs, leveraging large chemical datasets and proprietary platforms for state‑of‑the‑art small molecule design and synthesis.

The role involves collaboration with Preclinical Development and CDS, with opportunities to work across multiple programs and with ML/AI teams to guide compound design and data interpretation.

Formación

• Ph.D. or postdoc in organic or synthetic chemistry plus 2–5 years in biotech or pharma, or
• Bachelor’s or Master’s in organic or synthetic chemistry plus 10–15 years in biotech or pharma.

Responsabilidades

• Design and synthesize bio‑active molecules for hit‑to‑lead or lead optimization.
• Interpret large potency, ADME, and DMPK datasets to map structure‑activity relationships.
• Optimize molecules across series for in‑vivo exposure and efficacy.
• Collaborate with ML/AI teams to integrate predictive modelling with compound design.
• Manage external chemistry efforts (CROs).

Conocimientos

Organic synthesis techniques

Structure‑activity analysis

Cross‑functional collaboration

Scientific initiative

Educación

PhD or postdoc in organic/synthetic chemistry

Bachelor’s or Master’s in organic/synthetic chemistry

Descripción del empleo

Terray Therapeutics is seeking a motivated synthetic chemist to join our Preclinical Development team. You will contribute to hit‑to‑lead and lead optimization programs, leveraging large chemical datasets and proprietary platforms for state‑of‑the‑art small molecule design and synthesis.

The role involves collaboration with Preclinical Development and CDS, with opportunities to work across multiple programs and with ML/AI teams to guide compound design and data interpretation.