Pilgrim Logo

Pilgrim

Scientist

Posted 19 Days Ago
Be an Early Applicant
In-Office
Redwood City, CA, USA
Mid level
In-Office
Redwood City, CA, USA
Mid level
Develop, optimize, and validate nucleic acid-based assays and sample-preparation workflows. Design primers/probes, maximize recovery from complex environmental samples, stress-test assays, troubleshoot failure modes, translate bench protocols to automated hardware, and produce quality-controlled documentation for regulatory submissions and audits.
The summary above was generated by AI

About Pilgrim:

Pilgrim develops and deploys advanced biotechnology for defense and national security. Our primary platform, ARGUS, is a fully autonomous system for detecting biological threats in near real time, from naturally occurring pathogens to engineered agents.

Pilgrim is not a research institute or academic lab - we move beyond theory, transforming breakthrough science into decisive capabilities. Located in Redwood City, our team pairs mechanical and electrical engineering with chemistry and biology to put critical technologies into the hands of the people who need them.

About the Role:

As a Scientist at Pilgrim, you will develop and validate the biological workflows at the core of our products. You will move between hands-on bench work and system integration, designing experiments, troubleshooting failure modes, and refining protocols. Your work will span genomics, microbiology, and molecular assay development, and you will partner closely with engineers to translate scientific advances into integrated systems that perform reliably in the real world.

Responsibilities

  • Own the development and optimization of nucleic acid-based assays and sample-preparation workflows.

  • Build and refine methods for lysis, nucleic acid extraction, purification, concentration, amplification, and sequencing preparation, maximizing recovery of low-abundance targets from complex environmental samples.

  • Design and validate primer and probe sets for sensitive, specific target detection.

  • Design and run experiments that expose failure modes and improve sensitivity, specificity, recovery, reproducibility, and limit of detection.

  • Stress-test assays against real-world variation, including sample matrix, temperature, reagent age, contamination, and carryover.

  • Translate manual bench protocols into automated workflows that run reliably on integrated hardware.

  • Develop assays under appropriate design-control and quality practices, producing the documentation and traceability required for regulatory submissions, customer review, and audits.

Qualifications

  • Deep understanding of biology, biochemistry, or a related life science, with a demonstrated ability to design, develop, and troubleshoot experiments. An advanced degree (MS, PhD) is a plus, but not required.

  • Hands-on experience developing nucleic acid-based assays and sample-preparation workflows.

  • Advanced command of standard wet-lab equipment, instrumentation, and molecular biology techniques.

  • Strong experimental judgment, attention to detail, and ability to interpret imperfect or conflicting data.

Similar Jobs

Yesterday
Hybrid
141K-176K Annually
Mid level
141K-176K Annually
Mid level
Artificial Intelligence • Hardware • Software • Nanotechnology • Semiconductor • Quantum Computing • Defense
Develop and apply computational models and digital twins for metal additive manufacturing; perform continuum and mesoscale simulations, integrate ML/SciML methods, validate with experiments, manage project tasks, and communicate results via reports and publications.
Top Skills: AbaqusC++Cellular AutomataComsolDigital TwinFinite Element AnalysisKerasKinetic Monte CarloMoosePhase Field ModelingPythonPyTorchScikit-LearnSciml (Scientific Machine Learning)TensorFlow
3 Days Ago
Hybrid
Redwood City, CA, USA
125K-190K Annually
Senior level
125K-190K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
Research, design, and deploy multimodal AI models (WSI, genomics, spatial omics, longitudinal records) for precision medicine. Lead algorithmic innovation, collaborate with life-sciences partners on biomarker and CDx solutions, ensure regulatory alignment, and publish peer-reviewed research while delivering production-grade model deployments.
Top Skills: Deep LearningMachine LearningPythonPyTorch
6 Days Ago
Hybrid
Redwood City, CA, USA
90K-150K Annually
Mid level
90K-150K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
Partner with pharma clients to design and execute computational translational research using large clinical and molecular datasets. Drive account strategies, co-architect client solutions on the Tempus platform, communicate technical results to diverse audiences, author whitepapers, and coordinate with Product, Engineering, and Research teams. Travel ~25% for client engagements.
Top Skills: AWSCSS3D3DaskDockerFlaskGgplotGitHTML5JavaScriptJupyter NotebooksMatplotlibNumpyPandasPlot.LyPythonRRstudioScikit-LearnScipySeabornSQLTidyverse

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account