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לפני 12 שעות
Location: Holon
Job Type: Full Time
The Senior Scientist, Antibody Engineering & Discovery, will report to the Head of Antibody Drug Discovery within the Research group. The candidate will participate in antibody discovery, characterization, design, and engineering activities through extensive hands-on laboratory work. The successful candidate will contribute to the generation, engineering, production, and characterization of therapeutic antibodies, including bispecific and multispecific molecules. The role requires strong laboratory skills, scientific rigor, and the ability to independently execute experiments while effectively collaborating with team members.

Responsibilities

Design and generate antibody expression constructs, including antibody engineering activities.
Participate in the production and characterization of recombinant antibodies and proteins.
Perform laboratory-based antibody development activities, including study design, data analysis, and documentation.
Support antibody screening, lead selection, and optimization in therapeutic antibody discovery campaigns.
Collaborate with scientists from multiple disciplines across teams to support project progression.
Present scientific results at team, project, and external scientific meetings, including conferences.
Contribute to the implementation of new technologies and workflows.
Requirements:
PhD in Life Sciences with +4 years of biotechnology industry experience, or MSc with +6 years of relevant industry experience.
Industry experience in antibody engineering and bispecific/multispecific antibody development.
Protein engineering experience.
Experience with biochemical methods, including Western blot and ELISA.
Experience with cell-based assays using mammalian cell culture and expression systems.
Experience in flow cytometry, including staining and data analysis.
Experience with recombinant protein and antibody expression systems.
Familiarity with antibody characterization methodologies such as BLI, Octet, SPR, and HPLC.
Professional Attributes

Strong analytical and troubleshooting skills.
Ability to work independently while contributing effectively in a collaborative team environment.
Excellent communication, organizational, problem-solving skills and critical thinking.
Ability to work effectively in a dynamic, cross-functional research environment.
Excellent written and verbal communication skills in English.
Advantages
Experience in bispecific and multispecific antibody design.
Experience with yeast and phage display libraries.
Experience in affinity maturation, antibody humanization, immunogenicity assessment, and developability assessment, including PTM liabilities, aggregation, and stability evaluation.
Experience with AI-based applications for antibody optimization and engineering.
This position is open to all candidates.
 
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8861209
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17/09/2026
חברה חסויה
Location: Holon
Job Type: Full Time and Hybrid work
We are looking for a Computational Biologist to focus on Computational antibody design, playing a central role in the design and optimization of our therapeutics antibodies, while also conducting multi-omics analysis tasks within the group.

Responsibilities :

You will: Work closely with our computational biologists multidisciplinary team and with the Antibody discovery functional unit
Drive computational antibody design, applying state-of-the-art computational and AI models to design and optimize multispecific therapeutics antibodies
Translate engineering concepts into experimentally validated candidates
Act as a scientific liaison with external CROs on antibody design and optimization projects as needed
Explore new methods that expand our computational antibody design capabilities, including making effective use of AI/ML-based tools
Conduct end-to-end broader computational analyses including multi-omics datasets for target analysis, as needed
Communicate scientific results and design rationale clearly to internal and external audiences
Requirements:
M.Sc. or Ph.D. in Bioinformatics/Computational Biology/Structural Biology/Protein Engineering, or a closely related field
3-5 years of relevant experience in the biotech or pharmaceutical industry
Hands-on experience in computational methods for Ab developability and optimization: humanization, sequence liabilities, immunogenicity, structural and epitope predictions
Proficiency in protein model tools (e.g., PyMOL)
Familiarity with current, state-of-the-art AI based models for antibody design and sequence optimization
Proficiency in a scripting/programming language for data analysis (e.g., Python), and experience working with foundational models and LLM-based coding agents
Familiar with multi-omics datasets and analysis
Professional Attributes

Strong communication and collaboration skills, and a positive, can-do attitude
Strong analytical and troubleshooting skills
Ability to work independently while contributing effectively in a collaborative team environment
Ability to work effectively in a dynamic, cross-functional research environment
Excellent written and verbal communication skills in English
Advantages
Experience in bispecific and multispecific antibody design
Experience with yeast and phage display libraries
Experience in affinity maturation, antibody humanization, immunogenicity assessment, and developability assessment, including PTM liabilities, aggregation, and stability evaluation
Experience with AI-based applications for antibody optimization and engineering
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8825600
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