Scientist, Applications Sample Preparation

Glyphic BiotechnologiesBerkeley, CA
Onsite

About The Position

Glyphic Biotechnologies is developing a single-molecule protein sequencing platform (ProSE) to revolutionize life science discovery. They are seeking a Scientist to apply and optimize sample preparation workflows for their ProSE platform, as well as for DNA sequencing, RNA sequencing, and mass spectrometry-based proteomics. The role involves executing and refining protocols for various biological inputs, generating high-quality data for performance benchmarking, and supporting a multi-omic strategy. The ideal candidate is adept at executing and troubleshooting complex protocols, adapting methods to new sample types, and communicating effectively within multidisciplinary teams. Experience with high-throughput sample preparation for proteomics and NGS platforms is crucial.

Requirements

  • Degree in biochemistry, chemical biology, molecular biology, or an equivalent field.
  • PhD / MS / BS with 0+ / 2+ / 4+ years of relevant experience.
  • Hands-on experience executing sample preparation protocols across proteomic and nucleic acid-based platforms.
  • Experience generating quantitative readouts across diverse analytical platforms (e.g., LC-MS for proteomics; Illumina, ONT, PacBio, or similar for NGS).
  • Demonstrated skill preparing and processing diverse biological sample types (cell lines, tissue, blood, or other research/clinical matrices) for downstream proteomic and/or genomic analysis.
  • Proficiency with NGS library preparation methods (DNA-seq, RNA-seq, and/or ribosome profiling), including nucleic acid extraction, quantification, amplification, and QC.
  • A track record of applying sample preparation or enrichment methods suited for low-abundance targets or limited input material, including cfDNA and other biofluid-derived analytes.
  • Working knowledge of germline versus somatic sequence variation and its relevance to sample prep and analysis decisions.
  • Understanding of peptide chemistry and strategies to prevent degradation of post-translational modifications (PTMs), such as methylation and phosphorylation.
  • Strong problem-solving skills and close attention to detail.
  • Clear written and verbal communication skills, with the ability to collaborate effectively across diverse scientific and technical backgrounds.
  • Ability to thrive in a fast-paced environment with evolving priorities.

Nice To Haves

  • Experience with chemical labeling or modification chemistries (e.g., side-chain labeling, ABPP, or similar chemoproteomic approaches) as applied within established sample preparation workflows.
  • Deep familiarity with highly multiplexed, high-sensitivity protein quantification platforms (e.g., nELISA, NuLISA, immunoassays, PLA, or PEA).
  • Experience with nanopore platforms for sequencing or label-free detection.
  • Experience with single-cell or spatial proteomics and transcriptomics.
  • Familiarity with neoantigen discovery workflows that integrate genomic, transcriptomic, and proteomic evidence.
  • Comfort working in R or Python to input experimental results into and navigate established data analysis workflows.

Responsibilities

  • Evaluate and process incoming biological sample inputs, including cultured cells, fixed cells, tissue sections, blood, and Key Opinion Leader (KOL) samples, assessing sample-specific constraints and analytical requirements.
  • Extract and quantify nucleic acids and proteins from diverse sample matrices using established methods.
  • Apply and adapt enrichment, depletion, and dynamic-range management protocols to improve input quality for low-abundance targets and optimize ProSE and NGS sequencing yield.
  • Perform core molecular biology reactions such as buffer preparation, reagent formulation, enzymatic reactions, gel electrophoresis, PCR/qPCR, hybridization-based assays, and amplification workflows.
  • Generate sequencing- and analysis-ready outputs, including NGS libraries for DNA-seq, RNA-seq, and ribosome profiling, and processed samples for ProSE and mass spectrometry-based proteomic readouts.
  • Support the generation and sourcing of standard reference materials using cell culture techniques.
  • Test protocol variables (reagent concentrations, incubation times, temperature conditions, wash conditions, sample preparation steps, and workflow timing) to optimize assay performance.
  • Generate and analyze high-quality experimental data, evaluating assay performance using metrics such as signal intensity, background, reproducibility, specificity, sensitivity, sample quality, and workflow robustness.
  • Analyze and interpret large-scale proteomic and genomic datasets using quantitative and statistical approaches.
  • Propose and apply in-process controls and analytical tools to understand factors driving sequencing efficiency.
  • Collaborate with proteomics, assay development, chemistry, and data science teams to design experiments, interpret results, and guide project strategy.

Benefits

  • Employee Stock Option Plan
  • 100% Health Plan Coverage for Employees & Dependents (Medical, Dental, & Vision)
  • Employer Retirement Contributions to 401(k)
  • Generous Paid Time Off
  • Paid Maternity and Paternity Leave
  • Health & Wellbeing Program
  • Office Snacks and Beverages
  • Regular Team Bonding Activities
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