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Basecamp Research

AI-driven protein design platform

Scientist – Peptide Discovery

Translational Research & Bench BiologyConfirmed live in the last 24 hours
Full-timeBoston, MA, USAIn-person

About the Job

Requirements

  • A PhD in molecular biology, biochemistry, microbiology, genetics, bioengineering, or a life-sciences-related field, or an MSc with equivalent hands-on laboratory experience is required.
  • Strong demonstrated hands-on experience with mammalian cell culture, including aseptic technique, cell-line maintenance, and viability or cytotoxicity assays.
  • Expertise in flow cytometry using both antibody panels and fluorescent reporters.
  • Experience with cell-based functional or signaling assays, such as cAMP, GPCR activation assays, or reporter gene assays; GLP-1R experience is a strong plus but is not always required if the candidate has transferable GPCR assay experience.
  • Basic familiarity with microbial or fungal handling, or willingness to be trained; this is not expected to be a core strength.
  • Ability to work independently on multi-step, multi-day assay timelines.
  • Experience with hemolysis assays or other peptide membrane-toxicity screens.
  • Knowledge of how to set up assays tracking peptide half-life in human serum, plasma, or simulated physiological fluids.
  • Experience with permeability or barrier models or membrane-permeabilization assays.
  • Experience with immunogenicity risk-assessment tools, including in-silico epitope-prediction software and PBMC-based assays.

Responsibilities

  • Perform routine mammalian cell culture, such as HepG2, HEK293, CHO, or receptor-expressing stable cell lines.
  • Design and execute cell-based cytotoxicity and viability assays, such as CellTiter Blue or equivalent, in 96-well format.
  • Run hemolysis assays using red blood cells to assess membrane-disruptive toxicity of peptide candidates.
  • Run cell-permeability assays to evaluate peptide membrane interaction and barrier penetration.
  • Support immunogenicity risk assessment of peptide candidates, which may include in-silico T-cell epitope prediction and PBMC-based cytokine-release or proliferation assays.
  • Run cell-based receptor-activation assays for GLP-1 and related incretin peptide candidates, including cAMP-accumulation assays in GLP-1R-expressing stable cell lines.
  • Support or help establish stable reporter or receptor cell lines for new peptide target classes, including transfection, antibiotic selection, and flow-cytometry-based confirmation of receptor expression.
  • Generate and fit dose-response curves for potency (EC50) and safety (LC50, hemolytic, or cytotoxic thresholds) endpoints.
  • Prepare peptide stock and working solutions from synthesized peptides, including crude and high-purity formulations, for cell-based testing.
  • Support MIC-style fungal-susceptibility assays against organisms such as Saccharomyces cerevisiae, Candida albicans, Candida auris, and Fusarium graminearum, following established protocols.
  • Maintain detailed, accurate lab notebooks and contribute to data summaries, figures, and reports.
  • Collaborate with computational and AI team members to relay experimental results that inform iterative peptide down-selection across therapeutic programs.
  • Independently design cell-based assay strategies, including new assay development for emerging peptide targets or developability endpoints, and propose follow-on testing based on prior results.

Desired Qualifications

  • Direct experience with GLP-1R or other incretin-receptor cell-based assays, such as cAMP/HTRF or luciferase reporter assays, or experience generating and working with stable receptor-expressing cell lines.
  • Experience running Biacore (SPR) testing to measure peptide binding kinetics.
  • Experience with peptide handling or reconstitution, or synthetic peptide chemistry basics.
  • Exposure to high-throughput or medium-throughput screening formats.
  • Prior exposure to antimicrobial or antifungal susceptibility testing (MIC/MBC) against fungal pathogens such as Candida albicans, Candida auris, Saccharomyces cerevisiae, or Fusarium graminearum.
  • Understanding the mechanisms of action of antimicrobial or antifungal candidates, including cell-wall disruption, membrane depolarization, or intracellular targeting, to guide selection of secondary assays.
  • Mechanistic understanding of gene-editing tools, including nucleases, base editors, transposons, retrotransposons, and recombinases.
  • Familiarity with modern software and AI tools, with an AI-first approach to applying tools to work.
  • Ability to communicate with technical and non-technical stakeholders, including software engineers, data scientists, biologists, product managers, and external partners, and translate needs to keep collaborators aligned.
  • Proactive, resourceful, and independent approach to identifying problems or inefficiencies and acting on them.
  • Comfort with ambiguity and rapid change, with flexibility to adjust plans in a dynamic environment.
  • High ownership of work and reliable follow-through to deliver quality outcomes.

About the Company

Basecamp Research

AI-driven protein design platform

Basecamp Research builds AI tools for biology by training foundational biological AI models on proprietary genomic data from partnerships in 30+ countries, supported by a knowledge graph and a protein corpus. Its Eden model family designs proteins and DNA sequences, with BaseFold for protein structure prediction and aiPGI for programmable gene insertion. The company differentiates itself through its own rich proprietary data, dedicated knowledge graph, and focus on in vivo cell therapy, collaborating with pharma and research partners and pursuing significant funding to move models toward the clinic. Its goal is to train next-generation biological AI models and advance AI-designed therapeutics into clinical use, particularly in therapies that reprogram patient cells inside the body.

Company size
51-200
Company stage
Series C
Total funding
$220M
Headquarters
London, United Kingdom
Founded
2019

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