Scientist, Antibody Discovery and Optimization
Cambridge, MA Discovery
Job Type
Full-time
Description

Job Summary

Marengo is seeking an exceptional Scientist to join our team. Reporting to the Head of Antibody Discovery within Antibody Discovery and Protein Sciences (ADPS), they will contribute significantly to a small, rapidly expanding company offering opportunities to advance while improving the lives of patients.

We are seeking an experienced, versatile and self-driven individual to join our growing team of energetic scientists. This is a unique opportunity to collaborate with colleagues in Discovery and Early Development teams to directly contribute to discovering novel IO therapeutics. This individual will play a key role in the design and optimization of our next-generation biologic therapeutics, with a focus on fusion proteins and antibodies. The candidate will be responsible for advanced lab activities and is expected to impact at the organizational level in a matrixed team environment.


Responsibilities and Duties

  • Carry out hands-on lab work to apply molecular biology, yeast/phage display, protein biochemistry and rational protein engineering techniques to generate novel protein therapeutics
  • Lead execution of protein engineering and antibody discovery/optimization efforts such as humanization, affinity maturation, specificity modulation, and platform improvements
  • Act as a Subject Matter Expert in Antibody discovery and engineering and provide guidance to the research project teams.
  • Analyze and present data, both in written reports and oral presentations.
  • Effectively manage projects and resources to maximize progress.
  • Manage collaborations with external CROs.
  • Exhibit versatility to take on new responsibilities within ADPS group.
  • Maintain detailed lab notebooks.
Requirements

Qualifications and Skills

  • PhD in Biochemistry, Molecular Biology or a closely related field and extensive experience in Antibody optimization is required.
  • Prior experience in Pharma or Biotech is highly preferred.
  • Hands-on experience using phage/yeast display and other experimental approaches to optimize properties of antibodies.
  • Knowledge in NGS, bioinformatics and structural modeling would be an advantage.
  • Experience working in a matrixed environment
  • Attention to detail and a creative approach mentality to problem-solving
  • Highly analytical mind, attention to detail and organizational skills are critical
  • Self-motivated with a strong sense of responsibility, integrity, and a collaborative spirit
  • Ability to work independently to design and troubleshoot experiments
  • Versatile and a quick learner to take on new responsibilities and implement new technologies