Preclinical Pharmacology Lead - Biomolecular Condensates in Cancer
Preclinical Pharmacology Lead - Biomolecular Condensates in Cancer
Job Description

You will need to design and conduct preclinical pharmacology studies to develop biomolecular condensates oncology therapies. Incorporate appropriate PK/PD and biomarker assessments as needed at appropriate stages of the program to inform clinical development.

Experience
  • Ph.D. or M.D. in cancer biology or related scientific field.
  • Minimum of 5 years of biotechnology/pharmaceutical industry experience supporting discovery/development phase projects in oncology or related scientific fields.
Key Skills
  • Lead cross-functional teams to support pipeline.
  • Involvement in preclinical development phase projects and ability to approach and design projects from a preclinical translational perspective.
  • Effective communication skills.
  • Demonstrated ability to proactively build relationships with internal and external collaborators.
  • Keen eye for novel biotechnologies.
  • Strong professional competencies.
  • Ability to collaborate in a multidisciplinary manner.
Role and Responsibilities
  • Be part of the project team to design and conduct preclinical pharmacology studies.
  • Serve as project leader for cross-functional project teams.
  • Design and oversee the conduct of in vivo pharmacology studies as needed.
  • Collaborate with leaders to generate human translational evidence to support clinical programs.
  • Develops/provides input into biomarker strategies.
  • Development of small molecule therapeutics and oncology disease studies.
Perks and Benefits
  • Training and learning.
  • Paid vacation.
  • Salary option plan, specific salary and rank adjusted according to individual's education, ability and work experience.
Job Application

Job Summary :

Office Location

New York, USA

Job Type

Full Time

Experience

Experience : 3+ years

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CD BioSciences is a company conducting biomolecular condensates targeted innovative drugs. We integrate the latest advances in physics, chemistry, biology, and machine learning to address some of the most fundamental challenges in health and disease today.

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