Dalton Bioanalytics is a UCLA spin-off startup digitizing the biochemical composition of blood. Using Mass Spectrometry, Dalton analyzes protein, lipids, electrolytes, nutrients, environmental chemicals, drugs and other small molecules with just one assay, for the first time in history. We are developing a platform using this technology to empower researchers and scientists to understand and discover new biochemical compositions for bioprocessing, biomarker discovery, pharmaceutical, foods, and diagnostics industry.

Job Summary

We are seeking for an individual to aid in the analysis of mass spectrometry-based multi-omics datasets and to help develop appropriate experimental designs for future experiments. Applicants must be comfortable working with very large datasets that encompass projects from diverse areas of research. Applicants must be self-motivated to research new analysis techniques to aid in laboratory efforts and be able to effectively communicate both results and methodologies to the Director and its collaborators.

Job Duties

– Develops theoretical and numerical models, algorithms, and graphical interfaces for data analysis.

– Uses and implements principal component, hierarchical clustering, linear and multi-linear regression, and Volcano plot analysis for complex data systems.

– Coordinates the development of user interfaces and data access services to archive large datasets and enable researchers to access and explore complex data in a centralized database.

– Oversees and coordinates formal quality review and analysis of scientific data and identifies appropriate corrective actions.

– Develops and/or works with high performing parallel computers and visualization systems to enhance computation and analysis or modeling.

– With senior researchers, monitors data collection integrity, manipulates and/or eliminates data produced, and identifies appropriate corrective action.

– Authors and/or co-authors results and presents findings at high-level meetings, scientific organizations, or conferences with Principal Investigator; may be responsible for originating, initiating, and/or writing research grants with Principal Investigator.

– Reviews and critiques reports and analysis of other research staff; conducts ongoing periodic and final analysis of data using specialized techniques or computing applications programs.

Basic Qualifications

– MS or PhD in Computer Science, Bioinformatics, or Biostatistics.

– Firsthand experience in algorithm development.

– Experience with Python or R.

– Strong communication skills.

– Previous experience with processing and integrating omics databases.

– Previous experience with data mining and machine learning.

– Rigorous scientific standards.

– Creative (outside-of-the-box) problem solving skills.

Preferred Qualifications

– Ph.D. in Computer Science, Bioinformatics, or Biostatistics with experience in proteomics and/or metabolomics.

– LC-MS, Proteomics and/or metabolomics experience

– Previous experience with proteomics softwares, such as MaxQuant, Proteome Discoverer, or Skyline.

– Previous experience with metabolomics software such as Compound Discoverer.

– Knowledge of Molecular Biology or Biochemistry.

– Professional software development experience.

Required Documents

– Resume

To apply, Email: Seungjun Yeo seungjun.yeo@daltonbioanalytics.com

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