Contract, Research Scientist, AI /ML Biologics
OVERVIEW
We are currently searching for a skilled professional to join a well-known client’s team as a remote Contract, Research Scientist, AI /ML Biologics local to Boston, MA.
The client is expanding its capabilities in antisense oligonucleotide (ASO) therapeutics while advancing antibody and biologics discovery across multiple targets. To support this effort, we are integrating advanced machine learning (ML), artificial intelligence (AI), and data driven modeling to accelerate discovery and optimization across modalities.
The Research
Scientist, AI / ML Biologics will help build reproducible computational frameworks that strengthen AI/ML assisted design pipelines for ASOs and emerging biologic program.
RESPONSIBILITIES
• Design and implement advanced AI/ML approaches for de novo antibody discovery, including finetuning protein language models and developing generative protein design workflows.
• Develop, deploy, and scale machine learning methods to support multi objective optimization of antibodies, antigens, ADCs, and other biologic modalities.
• Develop and extend sequence aware machine learning models to prioritize ASO designs by predicted exon skipping response across multiple targets and modalities, including PMOgapmers, siRNA-PMO hybrids, and conjugate designs.
• Build a reproducible computational framework including data ingestion, feature engineering, model training, validation, and deployment for biologics.
• Curate and harmonize internal and external literature curated datasets and define robust sequence and structure features such as thermodynamics, accessibility, sequence motifs, secondary structure, and additional context that drive model performance.
• Establish benchmarks and prospective tests to assess accuracy, robustness, and scalability, and partner with experimental teams to validate predictions.
• Evaluate and adopt proprietary and open source tools to enhance modeling workflows and accelerate decision support.
• Maintain a clean and well documented codebase, and user guidance for cross functional teams.
• Perform additional related tasks as assigned
EXPERIENCE
• Minimum of three years of directly relevant industry experience.
• A strong background in oligonucleotide chemistry, antibody design and characterization.
• Proven experience in computational modeling of antibody-antigen sequence, structure, and binding interactions.
• Strong expertise in developing and/or adopting probabilistic learning or deep learning models, including Recurrent Neural Networks (RNNs), Graph Neural Networks (GNNs), Transformers, Natural Language Processing models, and Generative AI.
• Expert in programming and scripting languages such as Python, R, and SQL, with hands-on experience using modern deep learning frameworks such as PyTorch, Tensorflow, skikit-learn or JAX.
• Experience in developing machine learning models for DNA, RNA, and proteins, including language models, structure prediction, and design.
• Familiar working with large-scale computing and cloud infrastructures, database systems, and development tools in a production environment.
• Familiar with data development, tools, and infrastructure: AWS, database technologies, GitHub, GitLab, and Docker containers
• Ability to effectively communicate and collaborate with a multidisciplinary team, including chemists, biologists, and data scientists to successfully complete scientific projects.
• Strong team player with a commitment to continuous learning.
EDUCATION
PhD in Computational Chemistry/Biology, Machine Learning, Biomedical/Chemical Engineering field
Full-time employees are also eligible for benefits options such as health coverage, life insurance, disability insurance, and 401k benefits.
At Advanced Group, our commitment to diversity and inclusion in every part of our organization is crucial to fulfilling our mission and demonstrating our REAL values.
Advanced
Group is committed to providing employment opportunities without regard to sex, race, color, age, national origin, religion, gender identity or expression, sexual orientation or sexual preference, pregnancy or maternity, genetic information, marital status, disability, veteran status, or any other basis protected by applicable federal, state or local law.
Advanced Group complies with federal and state disability laws and makes reasonable accommodations for applicants and candidates with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please contact [email protected].
#MSPTalent
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We are currently searching for a skilled professional to join a well-known client’s team as a remote Contract, Research Scientist, AI /ML Biologics local to Boston, MA.
The client is expanding its capabilities in antisense oligonucleotide (ASO) therapeutics while advancing antibody and biologics discovery across multiple targets. To support this effort, we are integrating advanced machine learning (ML), artificial intelligence (AI), and data driven modeling to accelerate discovery and optimization across modalities.
The Research
Scientist, AI / ML Biologics will help build reproducible computational frameworks that strengthen AI/ML assisted design pipelines for ASOs and emerging biologic program.
RESPONSIBILITIES
• Design and implement advanced AI/ML approaches for de novo antibody discovery, including finetuning protein language models and developing generative protein design workflows.
• Develop, deploy, and scale machine learning methods to support multi objective optimization of antibodies, antigens, ADCs, and other biologic modalities.
• Develop and extend sequence aware machine learning models to prioritize ASO designs by predicted exon skipping response across multiple targets and modalities, including PMOgapmers, siRNA-PMO hybrids, and conjugate designs.
• Build a reproducible computational framework including data ingestion, feature engineering, model training, validation, and deployment for biologics.
• Curate and harmonize internal and external literature curated datasets and define robust sequence and structure features such as thermodynamics, accessibility, sequence motifs, secondary structure, and additional context that drive model performance.
• Establish benchmarks and prospective tests to assess accuracy, robustness, and scalability, and partner with experimental teams to validate predictions.
• Evaluate and adopt proprietary and open source tools to enhance modeling workflows and accelerate decision support.
• Maintain a clean and well documented codebase, and user guidance for cross functional teams.
• Perform additional related tasks as assigned
EXPERIENCE
• Minimum of three years of directly relevant industry experience.
• A strong background in oligonucleotide chemistry, antibody design and characterization.
• Proven experience in computational modeling of antibody-antigen sequence, structure, and binding interactions.
• Strong expertise in developing and/or adopting probabilistic learning or deep learning models, including Recurrent Neural Networks (RNNs), Graph Neural Networks (GNNs), Transformers, Natural Language Processing models, and Generative AI.
• Expert in programming and scripting languages such as Python, R, and SQL, with hands-on experience using modern deep learning frameworks such as PyTorch, Tensorflow, skikit-learn or JAX.
• Experience in developing machine learning models for DNA, RNA, and proteins, including language models, structure prediction, and design.
• Familiar working with large-scale computing and cloud infrastructures, database systems, and development tools in a production environment.
• Familiar with data development, tools, and infrastructure: AWS, database technologies, GitHub, GitLab, and Docker containers
• Ability to effectively communicate and collaborate with a multidisciplinary team, including chemists, biologists, and data scientists to successfully complete scientific projects.
• Strong team player with a commitment to continuous learning.
EDUCATION
PhD in Computational Chemistry/Biology, Machine Learning, Biomedical/Chemical Engineering field
Full-time employees are also eligible for benefits options such as health coverage, life insurance, disability insurance, and 401k benefits.
At Advanced Group, our commitment to diversity and inclusion in every part of our organization is crucial to fulfilling our mission and demonstrating our REAL values.
Advanced
Group is committed to providing employment opportunities without regard to sex, race, color, age, national origin, religion, gender identity or expression, sexual orientation or sexual preference, pregnancy or maternity, genetic information, marital status, disability, veteran status, or any other basis protected by applicable federal, state or local law.
Advanced Group complies with federal and state disability laws and makes reasonable accommodations for applicants and candidates with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please contact [email protected].
#MSPTalent
Apply tot his job
Apply To this Job