About the Role As an AI Scientist Intern on our Computational Protein Design team, you will work ... Develop and apply deep learning methods for protein/antibody structure, sequence, or property ...
About the Role As an AI Scientist Intern on our Computational Protein Design team, you will work ... Develop and apply deep learning methods for protein/antibody structure, sequence, or property ...
Computational Protein Research Associate (Contract)
Tustin, CA · On-site
$75K - $85K/yr
Key responsibilities will include developing scalable protein sequence-structure-function analysis ... predict molecular properties, and annotate protein functions. * Use structural modeling and ...
Computational Protein Research Associate (Contract)
Tustin, CA · On-site
$75K - $85K/yr
Key responsibilities will include developing scalable protein sequence-structure-function analysis ... predict molecular properties, and annotate protein functions. * Use structural modeling and ...
You will join a computational team working closely with experimental scientists on discovery and ... models for protein representation, structure prediction, or generation (e.g., transformer or ...
You will join a computational team working closely with experimental scientists on discovery and ... models for protein representation, structure prediction, or generation (e.g., transformer or ...
Senior Scientist, Computational Biotherapeutics Engineering
Cambridge, MA · On-site
$93K - $156K/yr
You will join a computational team working closely with experimental scientists on discovery and ... models for protein representation, structure prediction, or generation (e.g., transformer or ...
Senior Scientist, Computational Biotherapeutics Engineering
Cambridge, MA · On-site
$93K - $156K/yr
You will join a computational team working closely with experimental scientists on discovery and ... models for protein representation, structure prediction, or generation (e.g., transformer or ...
Postdoctoral AI Researcher in AI/ML for Cellular and Protein Computational Biology
Cambridge, MA · On-site
... protein structure prediction, protein-protein and small-molecule-protein docking, cell state ... PhD in computer science, statistics, electrical engineering, applied mathematics, computational ...
Postdoctoral AI Researcher in AI/ML for Cellular and Protein Computational Biology
Cambridge, MA · On-site
... protein structure prediction, protein-protein and small-molecule-protein docking, cell state ... PhD in computer science, statistics, electrical engineering, applied mathematics, computational ...
Deep knowledge of GPCR biology and membrane protein structure-function relationships. * Proven ... Background in computational protein design tools (e.g., Rosetta, AI/ML-driven prediction)
Deep knowledge of GPCR biology and membrane protein structure-function relationships. * Proven ... Background in computational protein design tools (e.g., Rosetta, AI/ML-driven prediction)
AI Scientist Intern, Computational Protein Design
California, MO · On-site
$10K - $15K/mo
About the Role As an AI Scientist Intern on our Computational Protein Design team, you will work ... Develop and apply deep learning methods for protein/antibody structure, sequence, or property ...
AI Scientist Intern, Computational Protein Design
California, MO · On-site
$10K - $15K/mo
About the Role As an AI Scientist Intern on our Computational Protein Design team, you will work ... Develop and apply deep learning methods for protein/antibody structure, sequence, or property ...
Research Associate, Computational Protein Engineering (Contract)
Tustin, CA · On-site
$75K - $85K/yr
Key responsibilities will include developing scalable protein sequence-structure-function analysis ... predict molecular properties, and annotate protein functions. * Use structural modeling and ...
Research Associate, Computational Protein Engineering (Contract)
Tustin, CA · On-site
$75K - $85K/yr
Key responsibilities will include developing scalable protein sequence-structure-function analysis ... predict molecular properties, and annotate protein functions. * Use structural modeling and ...
Research Associate, Computational Protein Engineering (Contract)
Tustin, CA · On-site
$75K - $85K/yr
Key responsibilities will include developing scalable protein sequence-structure-function analysis ... predict molecular properties, and annotate protein functions. * Use structural modeling and ...
Research Associate, Computational Protein Engineering (Contract)
Tustin, CA · On-site
$75K - $85K/yr
Key responsibilities will include developing scalable protein sequence-structure-function analysis ... predict molecular properties, and annotate protein functions. * Use structural modeling and ...
Research Associate, Computational Protein Engineering (Contract)
Tustin, CA · On-site
$75K - $85K/yr
Key responsibilities will include developing scalable protein sequence-structure-function analysis ... predict molecular properties, and annotate protein functions. * Use structural modeling and ...
Research Associate, Computational Protein Engineering (Contract)
Tustin, CA · On-site
$75K - $85K/yr
Key responsibilities will include developing scalable protein sequence-structure-function analysis ... predict molecular properties, and annotate protein functions. * Use structural modeling and ...
Research Associate, Computational Protein Engineering (Contract)
Tustin, CA · On-site
$75K - $85K/yr
Key responsibilities will include developing scalable protein sequence-structure-function analysis ... predict molecular properties, and annotate protein functions. * Use structural modeling and ...
Research Associate, Computational Protein Engineering (Contract)
Tustin, CA · On-site
$75K - $85K/yr
Key responsibilities will include developing scalable protein sequence-structure-function analysis ... predict molecular properties, and annotate protein functions. * Use structural modeling and ...
Postdoctoral Position in Jeffrey J. Gray's Computational Protein Structure and Design Lab
Baltimore, MD · On-site
$80K/yr
New approaches in deep neural networks are revolutionizing the study of protein structure, but so ... prediction and design. * Experience in solving complex scientific or engineering problems
Postdoctoral Position in Jeffrey J. Gray's Computational Protein Structure and Design Lab
Baltimore, MD · On-site
$80K/yr
New approaches in deep neural networks are revolutionizing the study of protein structure, but so ... prediction and design. * Experience in solving complex scientific or engineering problems
Senior AI Protein Engineer
Los Angeles, CA · On-site
$112K - $154K/yr
D. in Computational Protein Design, Structural Biology, Bioinformatics, or a related field. - 5+ years of hands-on experience in macromolecular modeling and sequence/structure prediction. -Technical ...
Senior AI Protein Engineer
Los Angeles, CA · On-site
$112K - $154K/yr
D. in Computational Protein Design, Structural Biology, Bioinformatics, or a related field. - 5+ years of hands-on experience in macromolecular modeling and sequence/structure prediction. -Technical ...
As a Computational Biologist you work at the front of that: the models, the sequences, and the ... De novo protein design, structure prediction, molecular dynamics, machine learning on biological ...
New
As a Computational Biologist you work at the front of that: the models, the sequences, and the ... De novo protein design, structure prediction, molecular dynamics, machine learning on biological ...
New
Computational Biologist
Los Angeles, CA · On-site
As a Computational Biologist you work at the front of that: the models, the sequences, and the ... De novo protein design, structure prediction, molecular dynamics, machine learning on biological ...
New
Computational Biologist
Los Angeles, CA · On-site
As a Computational Biologist you work at the front of that: the models, the sequences, and the ... De novo protein design, structure prediction, molecular dynamics, machine learning on biological ...
New
$120K - $140K/yr
Computational Protein Design * Apply structure prediction and modeling to engineer therapeutic and tool proteins (e.g. editors, nucleases, capsids, regulatory elements). * Optimize variants for ...
$120K - $140K/yr
Computational Protein Design * Apply structure prediction and modeling to engineer therapeutic and tool proteins (e.g. editors, nucleases, capsids, regulatory elements). * Optimize variants for ...
Deep knowledge of GPCR biology and membrane protein structure-function relationships. * Proven ... Background in computational protein design tools (e.g., Rosetta, AI/ML-driven prediction). Benefits:
Deep knowledge of GPCR biology and membrane protein structure-function relationships. * Proven ... Background in computational protein design tools (e.g., Rosetta, AI/ML-driven prediction). Benefits:
... computational-experimental loop, and represent Lila's work to the broader scientific community. What You'll Be Building * Drive research on structure prediction and co-folding models for protein ...
... computational-experimental loop, and represent Lila's work to the broader scientific community. What You'll Be Building * Drive research on structure prediction and co-folding models for protein ...
Contract Computational Biologist (Hybrid)
San Francisco, CA · On-site
$120K - $140K/yr
Computational Protein Design * Apply structure prediction and modeling to engineer therapeutic and tool proteins (e.g. editors, nucleases, capsids, regulatory elements). * Optimize variants for ...
Contract Computational Biologist (Hybrid)
San Francisco, CA · On-site
$120K - $140K/yr
Computational Protein Design * Apply structure prediction and modeling to engineer therapeutic and tool proteins (e.g. editors, nucleases, capsids, regulatory elements). * Optimize variants for ...
You will work with ML researchers, computational chemists, computational biophysicists, data ... Experience with protein-ligand modeling, cofolding, structure prediction, geometric deep learning ...
You will work with ML researchers, computational chemists, computational biophysicists, data ... Experience with protein-ligand modeling, cofolding, structure prediction, geometric deep learning ...
Computational Protein Structure Prediction information
What is the difference between Computational Protein Structure Prediction vs Molecular Dynamics Simulation?
| Aspect | Computational Protein Structure Prediction | Molecular Dynamics Simulation |
|---|---|---|
| Primary Focus | Predicting 3D protein structures from amino acid sequences | Simulating physical movements of molecules over time |
| Required Skills | Bioinformatics, structural biology, programming | Physics, chemistry, computational modeling |
| Work Environment | Research labs, biotech companies, academia | Research labs, pharmaceutical industry, academia |
| Common Usage | Structure prediction, drug design, functional annotation | Understanding protein dynamics, stability, interactions |
Computational Protein Structure Prediction focuses on determining the 3D structure of proteins based on their amino acid sequences, essential for understanding function and drug design. Molecular Dynamics Simulation, on the other hand, models the physical movements of molecules over time to study stability and interactions. Both roles require strong computational skills and are used extensively in research and industry, but they serve different purposes within structural biology.
What other helpful pages are available for Computational Protein Structure Prediction?
Other pages related to Computational Protein Structure Prediction:
AI Scientist Intern, Computational Protein Design
Seattle, WA
Xaira Therapeutics
$10K - $15K/mo
Internship
Posted 15 days ago
Job description
About the Role
As an AI Scientist Intern on our Computational Protein Design team, you will work alongside talented scientists and engineers developing generative AI models for protein and antibody therapeutic design. During your internship, you will contribute to advancing state-of-the-art machine learning models for biology, with a focus on impacting protein/antibody design and drug discovery. You will also have the opportunity to collaborate with interdisciplinary experts in biology, drug discovery, and clinical research.
Responsibilities
- Develop and apply deep learning methods for protein/antibody structure, sequence, or property modeling, under the guidance and mentorship of experienced scientists and engineers
- Implement and train models on GPUs using PyTorch
- Contribute to ongoing research projects involving protein structure, sequence, or biophysical/affinity datasets
- Participate in discussions to help generate innovative ideas for advancing AI methodologies in computational protein design
- Document findings and communicate progress effectively to peers and mentors
Qualifications
- Currently pursuing a MS or PhD in Computer Science, Machine Learning, or a related technical field, with strong publication record
- Hands-on experience with PyTorch and training/inference of AI models on GPUs
- Strong interest in AI innovation and its applications to interdisciplinary fields such as biology and chemistry
- Extensive hands-on experience with deep learning methods and frameworks
- Ability to work collaboratively in a team environment and learn from experienced mentors
- A scientifically curious mindset with a passion for exploring new challenges
- Experience with large-scale distributed training and inference is a plus
- Exposure to molecular structure or biological sequence data or computational biology/bioinformatics is a plus, but not required
- Prior research experience demonstrated through publications and/or significant open source code authorship
- Interest in contributing to open-source deep learning libraries and frameworks is a plus
Internship Duration
3 months
The expected monthly compensation range is $10,000-$15,000, depending on experience and qualifications. We are open to higher compensation for candidates with exceptional experience or impact. This internship is designed to provide a unique learning experience, offering hands-on exposure to the intersection of AI and computational protein design while allowing you to contribute meaningfully to real-world projects.