Description
BigHat Biosciences is seeking a hands-on, bench-driven scientist to perform IND-enabling developability assessments on late-stage drug candidates from its Milliner Platform for AI-designed therapeutics.
This is a lab-based 12-month contract role, with the possibility but no guarantee of conversion to a full-time position. You will spend most of your time at the bench executing complex stability studies.
Key Responsibilities
- Design, lead, and execute in-use dose solution studies to assess drug compatibility with administration materials.
- Develop highly sensitive protein characterization methods, such as qSEC, RP-HPLC, CEX, and particle counting, to evaluate drug quality and recovery.
- Support late-stage characterization, including formulation screening, stress testing, and peptide mapping, to rank and advance lead candidates.
- Drive developability assessments, focusing on purity, stability, tolerability, and biophysical properties across programs, with careful attention to data interpretation and organisation.
- Manage and communicate with external CROs for testing and analytics.
- Interpret and communicate scientific findings, propose next steps, and effectively broadcast results across the organisation.
- Proactively identify and explore state-of-the-art analytical tools and developability technologies.
Skills, Knowledge & Expertise
- PhD in Biochemistry or a relevant discipline with 5+ years of industry experience; exceptional non-PhD candidates with extensive bench experience will be considered.
- Experience in developing and optimising sensitive analytical chromatography-based methods is essential.
- Strong background in biophysical and analytical characterisation of antibodies and antibody fragments, including SEC, HIC, CE-SDS, DLS, DSF, ELISA, and LC-MS.
- Proven track record of translating complex data into clear results and actionable recommendations.
- Keenness to learn and onboard new technologies to enhance capabilities, improve work quality, timelines, throughput, or cost.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://bighatbiosciences.pinpointhq.com/en/postings/a785ab55-3527-4a69-a39c-1c4e7db4b8d9