Senior/Staff Scientist, Data Science
3 weeks ago
About Glyphic Glyphic Biotechnologies is pursuing the protein revolution. We are developing a massively parallel, single-molecule proteome sequencing platform to transform life science discovery. We have raised $50M from venture partners and non-dilutive grant funding to achieve our vision of next-generation proteome sequencing.
What we are looking for in you Glyphic is seeking a highly motivated and experienced Senior/Staff Data Scientist to advance our cutting-edge single-molecule proteome sequencing platform.
We\'re looking for a Senior Data Scientist who\'s excited about solving complex, real-world problems with cutting-edge technology. This is a CA-based hybrid role and you\'ll spend ~20% of your time on-site with the team in Berkeley, CA (on average), with flexibility for additional collaboration as projects require.
What you’ll do Data Analysis and Insight Generation:
Design and implement novel algorithms to analyze proteomics data that no one has ever seen before.
Develop and optimize algorithms for analyzing high-dimensional chemistry and NGS data, including single cell, spatial data, and LCMS data outputs
Build models that reveal how parameters and molecular interfaces drive outcomes, including surface interactions and molecule-target binding.
Design and execute biostatistical analyses using Python and/or R to uncover significant trends, model experimental outcomes, and inform data-driven decision-making.
Help define metrics and visualizations that clarify high-dimensional relationships for scientists and stakeholders.
Partner with wet lab, hardware, and software teams to translate experimental goals into computational strategies.
Pipelines and Automation:
Create ETL pipelines that clean, normalize, and integrate diverse datasets (sequencing reads, LCMS spectra, metadata) into analysis-ready formats.
Combine off-the-shelf pipelines (basecalling, variant calling, deconvolution) with custom scripts to deliver end-to-end solutions.
Continuously improve throughput and data quality by automating QC steps and integrating feedback from experiments.
Establish best practices for code quality, testing, and deployment that will scale with our growing team.
PhD in Computer Science, Bioinformatics, Computational Biology, Biostatistics or related field with 4+ (Senior) or 6+ (Staff) years of hands-on experience.
Competency in chemistry data science (e.g., interpreting LCMS data, utilizing deconvolution tools, understanding surface chemistry and molecule-target interactions).
Expertise in Python and/or R for biostatistical analysis, including data wrangling, statistical modeling, and visualization of high-dimensional experimental results.
Experience designing ML models for experimental data and deploying pipelines (Snakemake, Nextflow).
Familiarity with ML frameworks (PyTorch, TensorFlow) and data science libraries (pandas, numpy, scipy).
Experience building automated data pipelines and infrastructure for scalable analysis (cloud, Docker/Kubernetes).
Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
Proficiency with data visualization tools (matplotlib, seaborn, plotly) and Jupyter notebooks.
Familiarity with version control (git) and pipeline workflow systems (Snakemake, Nextflow, etc.)
Ability to work in performant languages (C++, Rust, Julia, or CUDA).
Ability to develop solutions that optimize the utilization of large-scale data storage, cloud processing infrastructure, and distributed computing.
Direct proteomics experience (mass spectrometry, multiplex assays, etc.).
Deep learning experience with time-series data, signal processing, or sequence modeling.
Ability to build and deploy scalable ML pipelines using PyTorch/TensorFlow for real-time protein sequence analysis.
Experience with MLOps tools and practices for model deployment and monitoring.
Experience building commercially successful life science tools that other scientists actually use and love.
Excellent interpersonal skills – capable of building strong relationships and communicating effectively with stakeholders at all levels.
High emotional and analytical intelligence – able to navigate complex team dynamics, partnerships, and challenges with creativity and logic.
Resourceful adaptability – operates with urgency, remains flexible in evolving environments, and thrives in ambiguity.
Flexible hybrid schedule with quarterly team gatherings
Bridge the gap between cutting-edge research and practical applications
Employee Stock Option Plan
~100% Health Plan Coverage for Employees & Dependents (Medical, Dental, & Vision)
~ Employer Retirement Contributions to 401(k)
~ Office Snacks and Beverages
~ 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.
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Senior/Staff Scientist, Data Science
3 weeks ago
Berkeley, CA, United States MedTech Innovator Full timeAbout Glyphic Glyphic Biotechnologies is pursuing the protein revolution. We are developing a massively parallel, single-molecule proteome sequencing platform to transform life science discovery. We have raised >$50M from venture partners and non-dilutive grant funding to achieve our vision of next-generation proteome sequencing. All the relevant skills,...
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Senior/Staff Scientist, Data Science
3 weeks ago
Berkeley, CA, United States MedTech Innovator Full timeAbout Glyphic Glyphic Biotechnologies is pursuing the protein revolution. We are developing a massively parallel, single-molecule proteome sequencing platform to transform life science discovery. We have raised >$50M from venture partners and non-dilutive grant funding to achieve our vision of next-generation proteome sequencing. What we are looking for in...
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Berkeley, CA, United States Glyphic Full timeAt Glyphic Biotechnologies, we plan create the protein revolution for which scientists and researchers have been waiting. We are developing a massively parallel, single-molecule proteome sequencing platform that will transform life science discovery and usher in a new era of insights into human biology and disease. To date, we have raised >$50M from venture...
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