StaffSenior Scientist, Proteomics

What we are looking for in you

We are seeking a highly analytical creative and collaborative Staff/Senior Scientist with a passion for advancing proteomics technologies and this pivotal role you will report to the Vice President of Research and Development where your work will help advance Glyphics single-molecule proteome sequencing platform. You will lead the development optimization and execution of advanced sample preparation enrichment and orthogonal mass spectrometry based proteomics workflows across diverse biological matrices. You will work with a multidisciplinary team that include chemists molecular biologists and engineers to drive high-throughput and automated ideal candidate is recognized for their expertise with mass-spectrometry based proteomics technologies and can independently design and troubleshoot complex experiments critically evaluate data and communicate findings clearly to both technical and non-technical audiences. Experience with novel enrichment approaches alternative protein characterization techniques and automated workflows will be a key this role you will have the unique opportunity to directly shape the future of single-molecule protein sequencing enabling transformative discoveries in life science by making robust scalable and real-world-ready sequencing solutions a reality.

This is a full-time exempt in-person position with work conducted at our Berkeley CA location.

What youll do

• Develop and optimize sample preparation workflows for proteomics across diverse biological matrices including cells and tissues
• Design and execute methods to isolate cell surface proteins including chemical labeling and enrichment approaches
• Apply and innovate protein and peptide enrichment strategies (e.g. affinity capture fractionation PTM-specific enrichment)
• Assess new sample types determine appropriate analytical strategies and develop protocols for protein extraction and purification
• Collaborate with chemists and engineers to scale workflows and integrate protocols into high-throughput and automated platforms

• Design and execute mass spectrometrybased proteomics experiments including discovery targeted and quantitative workflows
• Apply peptide chemistry techniques including synthesis modification labeling and derivatization
• Utilize chemical biology tools such as probes crosslinkers and activity-based reagents to interrogate protein function and interactions

• Operate optimize and troubleshoot LCMS/MS systems (e.g. Q-TOF Astral nanoLC)
• Develop acquisition methods tailored to sensitivity coverage and quantitative accuracy
• Evaluate and compare LCMSbased proteomics workflows against orthogonal protein sequencing and characterization technologies such as antibody-based methods Edman sequencing single-molecule protein sequencing or emerging proteomics platforms

• Process analyze and critically evaluate complex proteomics datasets
• Use industry-standard proteomics software and pipelines (e.g. MaxQuant Proteome Discoverer Skyline Spectronaut PEAKS or equivalent)
• Perform quantitative and statistical analysis to assess data quality reproducibility and biological relevance
• Stay current with advances in proteomics technologies and advise on platform selection and experimental strategy

• Work cross-functionally with chemists biologists computational scientists and engineers
• Document methods generate SOPs and contribute to best practices
• Present results clearly to technical and non-technical audiences

What you need

:

• Industry experience relevant to the role and an advanced degree in Proteomics Chemical Biology Biochemistry Analytical Chemistry or a related field including:
• MS/PhD with 8/6 years (for Staff Scientist)
• MS/PhD with 6/4 years (for Senior Scientist)
• Strong hands-on experience with LCMS/MSbased proteomics.
• Demonstrated expertise in sample preparation protein extraction and enrichment strategies (chemical biology/enrichment strategies preferred).
• Proven ability to analyze interpret and evaluate mass spectrometry data.
• Solid understanding of protein chemistry post-translational modifications and quantitative proteomics.
• Excellent problem-solving skills and attention to detail.
• Excellent written and verbal communication skills with the ability to work seamlessly with colleagues from diverse scientific and technical backgrounds.
• Ability to thrive in a fast-paced environment with evolving priorities.

Nice to have:

• Experience with cell surface proteomics or chemical labeling approaches
• Experience with solid phase peptide chemistry
• Familiarity with high-throughput proteomics workflows automation and sample multiplexing
• Experience evaluating or implementing alternative protein sequencing or characterization technologies (e.g. O-Link or SomaScan proteomics)
• Working knowledge of bioinformatics tools or scripting (e.g. R Python)
• Track record of publications patents or technology development

Were looking for teammates with:

• 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.
• Collaborative spirit enjoys working across disciplines and explaining complex concepts to diverse audiences.

What you can expect from this role

Work environment:

• Collaborative culture where your ideas and expertise are valued
• Direct impact on product development and company direction

Professional growth:

• Learn from a diverse team of world-class scientists and engineers
• Contribute to first-of-their kind technologies high-impact publications and patents
• Opportunity to develop and manage relationships with Key Opinion Leaders
  
  

Compensation

Estimated Base Salary $123000 - $187575

This is the pay range for this position that we reasonably expect to pay. Individual compensation is based on various factors including experience education skillset and geographic location. This range is for the SF Bay Area California location and may be adjusted to the labor market in other geographic areas.