Insilico Search Partners
Associate Director, Antibody Engineering
Insilico Search Partners, New York, New York, us, 10261
Associate Director, Computational Scientist – Antibody & Biologics AI Design
Location: New York, NY
Overview We are seeking an innovative
Computational Scientist
with deep expertise in
antibody and biologics modeling
to help transform therapeutic discovery. This role offers the opportunity to apply cutting‑edge
AI/ML and generative design approaches
to enable de novo antibody design, optimization, and developability assessments across multiple biologic modalities.
Key Responsibilities
Antibody & Biologics Modeling:
Build and deploy next-generation modeling workflows for antibodies and complex biologics, including structure prediction, humanization, developability, and bispecific/T-cell engager design.
Apply advanced AI/ML and generative modeling methods to design novel antibody sequences, enhance affinity and specificity, and accelerate optimization cycles.
Cross‑Functional Collaboration:
Work closely with discovery teams, structural biologists, and experimental scientists to integrate computational insights with lab validation.
Evaluate and implement emerging computational platforms and AI frameworks that improve antibody design, manufacturability, and scalability.
Scientific Communication:
Present findings to multidisciplinary teams, contribute to publications and patents, and help shape the biologics discovery strategy.
Qualifications
Ph.D. in
Computational Biology, Biophysics, Bioinformatics , or related field, with
5+ years of post‑PhD industry experience
in antibody/biologics drug discovery.
Demonstrated expertise in
antibody modeling ,
bispecifics ,
TCEs , or
protein engineering .
Experience applying
AI/ML or generative modeling
methods to protein or antibody design.
Proficiency with platforms such as
Schrödinger, MOE, Rosetta, or AlphaFold , and coding skills in
Python or R .
Proven ability to communicate across scientific disciplines and deliver impactful results.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Research
#J-18808-Ljbffr
Overview We are seeking an innovative
Computational Scientist
with deep expertise in
antibody and biologics modeling
to help transform therapeutic discovery. This role offers the opportunity to apply cutting‑edge
AI/ML and generative design approaches
to enable de novo antibody design, optimization, and developability assessments across multiple biologic modalities.
Key Responsibilities
Antibody & Biologics Modeling:
Build and deploy next-generation modeling workflows for antibodies and complex biologics, including structure prediction, humanization, developability, and bispecific/T-cell engager design.
Apply advanced AI/ML and generative modeling methods to design novel antibody sequences, enhance affinity and specificity, and accelerate optimization cycles.
Cross‑Functional Collaboration:
Work closely with discovery teams, structural biologists, and experimental scientists to integrate computational insights with lab validation.
Evaluate and implement emerging computational platforms and AI frameworks that improve antibody design, manufacturability, and scalability.
Scientific Communication:
Present findings to multidisciplinary teams, contribute to publications and patents, and help shape the biologics discovery strategy.
Qualifications
Ph.D. in
Computational Biology, Biophysics, Bioinformatics , or related field, with
5+ years of post‑PhD industry experience
in antibody/biologics drug discovery.
Demonstrated expertise in
antibody modeling ,
bispecifics ,
TCEs , or
protein engineering .
Experience applying
AI/ML or generative modeling
methods to protein or antibody design.
Proficiency with platforms such as
Schrödinger, MOE, Rosetta, or AlphaFold , and coding skills in
Python or R .
Proven ability to communicate across scientific disciplines and deliver impactful results.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Research
#J-18808-Ljbffr