Role Summary
Senior Scientist II with a background in molecular biology and/or microbiology to join the peptide display hit generation team. Lead technology development projects and therapeutic peptide hit generation efforts, utilizing phage-display and/or mRNA-display technologies, and drive internal hit generation initiatives.
Responsibilities
- Lead the development of in-house peptide display workflows utilizing the proprietary peptide microarray platform to accelerate hit identification, including designing/generating display libraries, screening against targets, performing NGS, and large-scale data analysis.
- Explore and assess advanced technologies for modifying peptide display libraries (e.g., chemical modification, non-canonical amino acids).
- Use proprietary data analysis tools to analyze sequencing data and other datasets from peptide display libraries.
- Resolve key project hurdles using available information and technical expertise.
- Publish research in peer-reviewed journals and present at scientific conferences.
- Pursue project-relevant leads aligned with the group’s strategy.
- Demonstrate proficiency across a wide range of relevant technologies.
- Proactively seek new information from the literature and apply it to projects and the program.
- Primary author of publications, presentations, regulatory documents, and/or primary inventor of patents.
- Understand and adhere to corporate standards regarding code of conduct, safety, and material handling.
- May mentor/supervise a team of one or more and evaluate performance.
Qualifications
- Required: Bachelor’s Degree with typically 12 years of experience, Master’s Degree with typically 10 years of experience, or PhD with typically 4 years of experience in Molecular Biology, Microbiology, Biochemistry, Chemical and Biological Engineering, or related fields.
- Experience with mRNA-display and/or phage-display libraries, including design, generation, screening, and data analysis.
- Proficiency in generating and analyzing next-generation sequencing (NGS) libraries.
- Coding skills relevant to data science (e.g., Python) or willingness to learn.
- Ability to learn and master new experimental techniques, multitask, and meet deadlines.
- Effective written and verbal communication of research.
Skills
- Automation and/or molecular barcoding experience (Preferred).
- Experience managing other researchers/technicians or managing relationships with CROs (Preferred).