Scientist, Drug Discovery

Gondola Bio is a clinical-stage biopharmaceutical company focused on developing breakthrough therapeutics for genetic diseases. Gondola Bio is an independent sister company to Bridge Bio, originally carved out in 2024 after securing $300M in private financing from external investors. Gondola Bio aims to leverage cutting-edge biological research to discover, create, test, and deliver transformative medicines to treat patients who suffer from genetic diseases.

Located on the Stanford Life Sciences campus, Gondola Bio fosters a unique hybrid environment where top scientists from around the world collaborate with senior leadership and advisors, blending industry expertise with academic innovation.

• A deeply motivated scientist with a strong sense of urgency, dedicated to designing creative, high-impact experiments to solve complex problems in drug discovery.
• Detail-oriented and execution-focused, with a strong foundation in molecular and cellular biology techniques, and a compelling publication record demonstrating scientific rigor and independence.
• Productivity-driven
  : you naturally like multi-tasking and getting more done.
• Comfortable partnering tightly with chemistry/computational biology/structural biology/DMPK/tox to interpret SAR biologically, and drive hit-to-lead decisions.
• A crisp communicator and pragmatic operator who can lead internally and through CROs/academic collaborators with high standards.
• You approach experimental failures with a growth mindset, and embrace changing directions and priorities based on project and company needs.

• Engineering and optimizing transgenic mammalian
  in vitro
  cell models for therapeutic screening and characterization.
• Quantitative assay development using flow cytometry, microscopy, transcriptomics, proteomics and microplate readers. This is a hybrid experimental and computational role
  . You will generate high-throughput data and then set up computational workflows for analyzing these data.
• Stay super-organized with experimental protocols and data;
  ready to deliver presentations to key stakeholders and leadership on short notice.
• Contribute to IP and publications
  , and help shape program direction with leadership.

• Ph.D. in cell biology, genomics, genetics, molecular biology, pharmacology, or a related field is strongly preferred.
• 2+ years of post-doctoral research or industry experience in drug discovery or early development preferred.
• Significant experience in building one or more projects from ground zero, demonstrating the capability to troubleshoot high-throughput biology experiments and computational analyses in a highly independent and driven manner.
• Significant experience in driving or being a key contributor in one or more collaborative projects.
• Strong experience with mammalian cell culture and cell engineering
  . Proficiency with generating stable cell lines using lentiviral transduction is required; experience with pooled lentiviral-based genetic screens is preferred.
• Strong direct hands‑on experimental experience with at least four of the five key readouts:
  flow cytometry, microscopy, transcriptomics, proteomics and microplate readers
  , in addition to standard cell and molecular biology techniques (qPCR, RT-PCR, cell viability assays, cloning, western blotting, co‑IP experiments, etc.). Capability to design custom next‑generation sequencing assays is preferred.
• Deep conceptual understanding and practical know‑how of pharmacological and biochemical experiments relevant to in vitro characterisation and optimisation of a therapeutic (e.g., dose response curves, potency and efficacy measurements).
• Experience with programming in Python and working in AWS for analysis and interpretation of the data you generate. Required to have conceptual understanding of each standard step within routine imaging, genomics and proteomics analysis workflows.
• Familiarity with in vivo experimental design for rodent models is preferred.
• Excellent data analysis, visualization, and scientific communication skills.

• Experience working with polarized epithelial cell models.
• Experience with the biology of proteins that…