Amber Bio
Molecular Biology Research Scientist
Amber Bio - Sunnyvale
Work at Amber Bio
Overview
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Overview
Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA writing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. As an early team member, you will have the opportunity to contribute to strategic planning and future hiring. If you are interested in building a new frontier in genetic medicine, please apply through or directly on our website ().
If you are a skilled Computational Biologist or ML Scientist with a passion for applying machine learning approaches to (one of: model/design/engineer) biological sequences, we encourage you to apply and join our innovative team.
Computational Biologist / ML Scientist
Analyze and preprocess experimental data, including DNA, RNA, and protein sequences, high throughput screening data and structural data for model training and validation.
Plan and execute machine learning experiments, and set milestones and timelines to achieve research objectives.
Collaborate with wet lab scientists to align ML experiments and integrate model insights into the design process
Fine-tune models using custom datasets and external resources to achieve high predictive performance.
Collaborate with gene editing and molecular biology experts to integrate model insights into the design process.
Stay updated with the latest advancements in machine learning techniques, RNA/protein structure prediction, and gene editing technologies.
Design, build, and maintain computational pipelines to process, analyze, and interpret next-generation sequencing (NGS) data, including variant calling and differential expression analysis.
D. in Computer Science, Bioinformatics, Computational Biology, Molecular Biology, or related fields. Strong academic background in machine learning and molecular biology is preferred.
Minimum of 2 years of practical experience in developing machine learning models, with a focus on RNA and protein structure prediction, acquired during PhD studies or a post-graduate role.
Proven track record of addressing high impact questions in biology using statistical and machine learning techniques.
Experience with RNA and protein structure prediction tools and databases (e.g., Proficiency in Python and PyTorch / TensorFlow and other bioinformatics tools.
Strong analytical skills with the ability to design creative solutions for complex molecular challenges.
If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team.
Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.
If you are a skilled Computational Biologist or ML Scientist with a passion for applying machine learning approaches to (one of: model/design/engineer) biological sequences, we encourage you to apply and join our innovative team.
Computational Biologist / ML Scientist
Analyze and preprocess experimental data, including DNA, RNA, and protein sequences, high throughput screening data and structural data for model training and validation.
Plan and execute machine learning experiments, and set milestones and timelines to achieve research objectives.
Collaborate with wet lab scientists to align ML experiments and integrate model insights into the design process
Fine-tune models using custom datasets and external resources to achieve high predictive performance.
Collaborate with gene editing and molecular biology experts to integrate model insights into the design process.
Stay updated with the latest advancements in machine learning techniques, RNA/protein structure prediction, and gene editing technologies.
Design, build, and maintain computational pipelines to process, analyze, and interpret next-generation sequencing (NGS) data, including variant calling and differential expression analysis.
D. in Computer Science, Bioinformatics, Computational Biology, Molecular Biology, or related fields. Strong academic background in machine learning and molecular biology is preferred.
Minimum of 2 years of practical experience in developing machine learning models, with a focus on RNA and protein structure prediction, acquired during PhD studies or a post-graduate role.
Proven track record of addressing high impact questions in biology using statistical and machine learning techniques.
Experience with RNA and protein structure prediction tools and databases (e.g., Proficiency in Python and PyTorch / TensorFlow and other bioinformatics tools.
Strong analytical skills with the ability to design creative solutions for complex molecular challenges.
If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team.
Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.