Full-time · CA, United States of America
This is a full-time, exempt, hybrid role and applicants should expect to work >50% of their time on-site in either our Berkeley, CA or New York, NY office.
At Glyphic Biotechnologies, we plan to create the protein revolution for which scientists and researchers have been waiting. We are developing a massively parallel, single-molecule protein sequencing platform that will transform proteomics and usher in a new era of insights into human biology and disease. To date, we have raised >$50M from venture partners and non-dilutive grant funding to achieve our vision of next generation protein sequencing.
We are seeking an experienced proteomics bioinformatics scientist with industry experience to support Glyphic Bio’s development of a next-generation protein sequencing platform. This scientist will be responsible for developing algorithms for the reconstruction, identification, and assembly of protein sequences based on Glyphic Bio’s platform technology. This candidate must have demonstrated success in biological science research dealing with protein sequence analysis. The scientist would work cross-functionally with all science teams, report to the Founding Senior Manager, and play an instrumental role in Glyphic’s product and assay development. We value exceptional communication and organization habits, and candidates with a tendency toward systems thinking. Direct experience with proteomics data and protein sequence analysis, bioinformatics method development, statistical analysis, and machine learning strongly preferred. This is a full-time, exempt, hybrid role and applicants should expect to work >50% of their time on-site in either our Berkeley, CA or New York, NY office.
PhD or MS in Bioinformatics, Computational Biology, Statistics, or a related field
Experience with proteomics analysis and working with proteomic databases
Experience with protein sequence alignment, analysis, and scoring methods and algorithms (Eg. BLAST, HMMER, HHBlits, MMSeq2)
Experience with genomic or proteomic sequence assembly methods
Experience applying statistical and machine learning approaches to the analysis of protein sequences
Expertise in programming (e.g., Python, R, Perl, MATLAB, C/C++) in a shared infrastructure setting
Familiarity with Python-based machine learning frameworks and tools (eg. PyTorch, TensorFlow/Keras, Scikit-Learn)
Experience using bioinformatics tools for sequencing data and interpreting associated results
Excellent problem-solving skills and the ability to collaborate effectively in a multidisciplinary environment.
Highly organized with strong communication skills and the ability to translate technical concepts for non-technical stakeholders.
Enthusiasm for science and a strong commitment to advancing scientific research
Ability to work independently with limited oversight.
A commitment to maintaining the highest levels of workplace professionalism.
A willingness to self-start, embrace ambiguity and seek out opportunities for company, team, and individual improvement.
We encourage anyone who thinks they would excel at Glyphic Bio to apply, no matter their background or how they identify.
We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Glyphic Biotechnologies are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.