Senior Scientist, Protein Sciences

Strand Therapeutics•Boston, MA

7d•Onsite

About The Position

Strand Therapeutics is seeking a highly motivated and innovative Senior Scientist of Protein Sciences to join our Platform Enabling Technologies team. This founding role will establish and lead protein science capabilities that enable the discovery, engineering, and validation of protein payloads, binders, and reagents for Strand’s programmable RNA medicines. Reporting to the Associate Director of Platform Enabling Technologies, the ideal candidate combines deep expertise in nanobody or antibody engineering, computational protein design, high-throughput protein purification and characterization, and enthusiasm for building new scientific functions while remaining active on the bench. This role integrates experimental protein sciences with AI-enabled design to discover and optimize antibodies, nanobodies, and other therapeutic proteins. Working closely with our computational biology, RNA biology, delivery, and translational teams, the scientist will define protein design criteria, lead experimental validation, and connect molecular attributes, including expression, folding, secretion, stability, activity, and developability as recombinant protein and following RNA delivery.

Requirements

PhD with 2-5 years of experience, or 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.
Proven track record of developing biologics as therapeutics and delivering on projects to enable programs to progress toward IND submissions.
Experience with advanced protein characterizations methods such as LC-MS, SEC-MALS, and SPR/BLI.
Strong understanding of ML/AI enabled protein design methodologies and the experimental validation of resulting designs.
Direct, hands-on experience in deploying methods preferred.
Strong understanding of protein structure-function relationships, 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 a highly interdisciplinary environment and collaborate with scientists across RNA biology, LNP formulation, cell biology, computational biology, and analytical sciences.
Strong track record of scientific communication, including presenting complex data and conclusions to multidisciplinary teams.
Experience mentoring junior scientists and contributing to experimental strategy and technical direction.
A track record of scientific contributions through peer-reviewed publications, patents, or other evidence of technical innovation.

Nice To Haves

Experience with protein conjugation and downstream purification and characterization a plus but not required.
Experience with building laboratory capabilities, managing external partners, or translating research workflows into development preferred but not required.
Experience with RNA biology, RNA delivery, lipid nanoparticles, or related delivery technologies is a strong plus, but not required for candidates with exceptional protein engineering expertise.

Responsibilities

Establish and lead the Protein Sciences function by defining the 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 & discovery capabilities that integrate computational modeling, library design/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 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 teams 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.