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Hexagon Bio

Genomics-driven discovery of small-molecule inhibitors

Clinical Scientist

Clinical Research OperationsConfirmed live in the last 24 hours
Full-timeMenlo Park, CA, USA$250k - $325kIn-person

About the Job

Requirements

  • A PhD, PharmD, or equivalent advanced degree in a relevant scientific field is desirable, with Biology, Pharmacology, Immunology, or a related discipline given as examples.
  • At least 7 years of industry experience in clinical development overseeing clinical study execution, focused on oncology.
  • Ability to analyze and interpret complex clinical data to drive scientific insights.
  • Understanding of clinical trial design, GCP/ICH guidelines, and regulatory documentation requirements.
  • Experience in fast-paced, high-growth biotechnology environments.

Responsibilities

  • Contribute to the development of clinical study protocols, investigator brochures, informed consents, and other key study documents.
  • Perform clinical data review and analysis to support study-level decision-making and safety monitoring.
  • Support the preparation of clinical sections for regulatory submissions, including INDs and clinical study reports.
  • Collaborate with Translational Research, Clinical Operations, and Biometrics to ensure scientific alignment across programs.
  • Assist in the medical monitoring process and clinical trial execution in accordance with GCP/ICH guidelines.

Desired Qualifications

  • A PhD, PharmD, or equivalent advanced degree in a relevant scientific field is desirable, with Biology, Pharmacology, Immunology, or a related discipline given as examples.

About the Company

Hexagon Bio

Genomics-driven discovery of small-molecule inhibitors

Hexagon Bio uses synthetic biology and data science to discover and develop new medicines by analyzing genomic data from thousands of species to find small molecules that block disease-driving proteins, such as those involved in cancer. Its platform turns these identified molecules into lead compounds that can enter clinical development, speeding up the early stages of drug discovery. The company blends computational biology, chemistry, and synthetic biology to go from genome data to drug candidates, and it licenses these candidates to larger pharma firms for further development. Its goal is to build a steady pipeline of drug candidates for complex diseases and partner with big pharma to advance them through clinical trials and commercialization.

Company size
51-200
Company stage
Series C
Total funding
$255.6M
Headquarters
Menlo Park, CA
Founded
2016

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