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Strand Therapeutics

Develops programmable, long-acting mRNA therapeutics

Senior Scientist - Protein Sciences

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

About the Job

Requirements

  • A PhD with 2–5 years of experience, or a B.S./M.S. with 7–10 years of experience, in Biochemical Engineering, Biotechnology, Biochemistry, Molecular Biology, or a related scientific discipline.
  • Demonstrated expertise in nanobody or antibody discovery and engineering, including library design, screening and production, humanization, affinity maturation, and experimental validation.
  • Demonstrated expertise in high-throughput recombinant protein expression, purification, and characterization from mammalian, yeast, and bacterial systems, including cell culture, chromatography-based separations, and affinity/developability assays.
  • A proven track record of developing biologics as therapeutics and delivering projects to enable programs to progress toward IND submissions.
  • Experience with advanced protein characterization methods such as LC-MS, SEC-MALS, and SPR/BLI.
  • A strong understanding of machine-learning- and AI-enabled protein design methodologies and experimental validation of resulting designs.
  • A strong understanding of protein structure-function and sequence-function relationships, and principles governing properties related to successful drug development, including protein stability, activity, specificity, immunogenicity, and developability.
  • Experience integrating yeast or phage display, high-throughput screening, and computational library design.
  • Experience analyzing complex experimental datasets and using quantitative approaches to guide subsequent protein engineering cycles.
  • Ability to work effectively in an interdisciplinary environment and collaborate with scientists across RNA biology, LNP formulation, cell biology, computational biology, and analytical sciences.
  • A strong track record of scientific communication, including presenting complex data and conclusions to multidisciplinary teams.
  • A track record of scientific contributions through peer-reviewed publications, patents, or other evidence of technical innovation.

Responsibilities

  • Establish and lead the Protein Sciences function by defining scientific priorities, managing external vendors, selecting technology and instrumentation, and building workflows for binder discovery, protein engineering, production, and characterization.
  • Build antibody, nanobody, or other binder modalities and discovery capabilities that integrate computational modeling, library design and construction, display-based high-throughput screening, and downstream validation to discover and optimize single-domain and other antibody-derived binders.
  • Partner with Computational Biology to develop an AI-enabled protein design platform by defining experimentally relevant design criteria, generating high-quality training and validation datasets, and testing model-generated candidates.
  • Lead binder discovery projects against therapeutically relevant targets by leveraging external partners and internal platform capabilities.
  • Develop fit-for-purpose recombinant protein expression and purification workflows in mammalian, yeast, and bacterial systems to support rapid design-build-test-learn cycles.
  • Establish biochemical, biophysical, and cell-based assays to evaluate binding kinetics, specificity, purity, stability, aggregation, activity, and developability.
  • Partner with RNA biology and delivery teams to optimize RNA-encoded proteins for translation efficiency, folding, intracellular trafficking or secretion, functional activity, duration of expression, and compatibility with the intended delivery modality.
  • Design orthogonal assays that distinguish RNA-, delivery-, and protein-level drivers of performance and use the resulting data to guide construct and formulation optimization.
  • Communicate data, risks, and recommendations clearly to multidisciplinary project teams and contribute to portfolio and platform strategy.

Desired Qualifications

  • Strong understanding of machine-learning- and AI-enabled protein design methodologies, with direct hands-on experience deploying methods preferred.
  • Experience with protein conjugation and downstream purification and characterization is a plus but not required.
  • Experience building laboratory capabilities, managing external partners, or translating research workflows into development is preferred but not required.
  • Experience with RNA biology, RNA delivery, lipid nanoparticles, or related delivery technologies is a strong plus, but is not required for candidates with exceptional protein engineering expertise.
  • Experience mentoring junior scientists and contributing to experimental strategy and technical direction.

About the Company

Strand Therapeutics

Develops programmable, long-acting mRNA therapeutics

Strand Therapeutics develops programmable, long-acting mRNA therapeutics that aim to treat cancer and other life-threatening diseases. The product works by delivering mRNA engineered with logic-based circuits that sense disease-specific cell signals and activate only in diseased cells, increasing the therapeutic window and reducing harm to healthy cells. This enables multi-functional treatments with targeted action rather than non-specific delivery. The company differentiates itself by its programmable mRNA platform that combines gene-encoded logic with disease targeting to achieve cell-type–restricted activity, potentially allowing for safer and more precise therapies compared with conventional mRNA approaches. Strand Therapeutics pursues collaboration and partnerships to expand its programs and generate revenue through development and commercialization of its proprietary mRNA therapeutics with healthcare providers and institutions.

Company size
51-200
Company stage
Series B
Total funding
$256M
Headquarters
Boston, MA
Founded
2017

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