Scientist

• Serve as a scientific and technical expert for customers evaluating, implementing, and using Thermo Fisher Scientific flow cytometry technologies and solutions
• Deliver scientific application support before and after instrument sales
• Design and deliver customer training through onsite visits, virtual meetings, workshops, webinars, demonstrations, and scientific presentations
• Consult with customers on experimental design, assay development, panel design, workflow optimization, controls, and data interpretation
• Troubleshoot complex scientific, application, and workflow-related flow cytometry issues
• Advise customers on maximizing the value and performance of flow cytometry instruments and workflows
• Collaborate with Technical Support and Service teams to resolve customer issues
• Provide guidance on multicolor and multiparameter flow cytometry, immunophenotyping, cell viability, apoptosis, proliferation, cell-cycle analysis, staining, fluorophore and antibody selection, compensation, controls, sample preparation, instrument setup, data acquisition, gating, quantitative analysis, assay development, and troubleshooting
• Partner with Account Managers, Sales Specialists, and Business Development teams on product evaluations, demonstrations, customer presentations, and scientific discussions
• Support prospective customers in evaluating flow cytometry solutions and contribute to product adoption
• Build relationships with Key Opinion Leaders, core facilities, and scientific collaborators
• Represent Thermo Fisher Scientific at conferences, workshops, seminars, and customer events
• Present scientific seminars and stay current on emerging flow cytometry, cell analysis, immunology, and related research advances
• Communicate customer feedback, application insights, competitive intelligence, and market trends to Product Management, R&D, Marketing, and Commercial Leadership
• Support new product launches and deliver technical and applications training to internal commercial teams
• Collaborate cross-functionally to improve customer experience, product adoption, and scientific support strategies
• Manage a geographically dispersed Southern California territory and approximately 75% travel

Field Application Scientist – Flow Cytometry

• Partner with scientists to deliver proteoform and proteome assays built on Nautilus's single-molecule proteomics platform powered by Iterative Mapping
• Independently analyze Iterative Mapping data end to end, from run metadata through image processing, protein decoding, and statistical conclusions
• Communicate results and recommendations clearly and actionably to members of the company regardless of scientific background
• Optimize assay performance by establishing levers for improving reproducibility and quantitative accuracy
• Guide experimental design, including controls, replicates, and sample sizes
• Conduct sensitivity and power analyses that set acceptance criteria before data is collected
• Diagnose unexpected experimental results by forming and testing hypotheses spanning reagents, instruments, image processing, and algorithms
• Feed lessons learned into subsequent assay design
• Develop and maintain quality control metrics and reports used to evaluate experimental runs
• Set defensible thresholds and explain the meaning and importance of each metric
• Access and integrate data from cloud data warehouses, object storage, on-premises file servers, and experiment metadata records
• Reconcile data inconsistencies as needed
• Convert recurring analyses into reusable, tested software tools
• Work cross-functionally with chemists, engineers, and algorithm developers on company-wide project teams
• Report to a Bioinformatics Fellow

Senior Bioinformatics Scientist

• Drive development of algorithms for detecting minimal residual disease in ctDNA samples using signals from small variant calling, copy number calling, fragmentomics, and methylation
• Assist in improving algorithms for therapy selection across a range of variant types and biomarkers
• Prototype novel NGS algorithms for clinical oncology use cases such as MRD
• Assess and improve existing secondary analysis algorithms for variant and biomarker detection
• Design and analyze experiments with external and internal experimental teams to support existing or new Illumina oncology assays
• Provide technical guidance to internal and external collaborators
• Participate in cross-functional assay and algorithm R&D teams with minimal oversight
• Communicate plans and results across functions

Staff Bioinformatics Scientist – Oncology/MRD Algorithm Development

• Serve as a technical expert in downstream process development
• Provide comprehensive support across technology platforms
• Build relationships with customers, sales teams, and internal partners
• Deliver technical training
• Optimize applications
• Troubleshoot complex issues
• Demonstrate technologies through presentations
• Support customers' research and development goals and solution adoption from lab to manufacturing-scale bioproduction
• Support colleagues and lead strategic projects
• Provide customer feedback to R&D teams to contribute to product development
• Support technical advancement and business growth

Senior Field Application Scientist, Downstream Bioproduction

• Lead complex technical projects
• Drive innovation in methods and tools through networking with key contacts
• Translate business needs into technical requirements for strategic planning
• Build cross-functional relationships to deliver business targets
• Advise others on complex bioinformatics and engineering matters
• Design and implement advanced bioinformatics solutions involving genomics and genetics
• Collaborate with molecular biology teams on assay development, experimental design, and analysis
• Support regulatory compliance through analysis and technical writing for verification, validation, and documentation
• Develop and optimize analysis pipelines using bioinformatics algorithms
• Guide result interpretation and reporting standards
• Establish quality control metrics and procedures for data integrity
• Improve accuracy, cost of goods sold (COGS), and turnaround time (TAT)
• Lead verification and validation efforts
• Interface with clinical and commercial stakeholders using bioinformatic data
• Evaluate genomic data for complex variant interpretation and identify system limitations
• Architect and implement complex software systems
• Design maintainable, debuggable, and observable systems and APIs
• Establish development standards and provide design feedback
• Improve system reliability and performance using appropriate metrics
• Lead technical design reviews
• Implement robust testing frameworks with team leads
• Guide technical architecture decisions for adjacent software systems
• Establish monitoring systems supporting debuggability and observability
• Drive engineering best-practice adoption across teams

• Lead complex technical projects requiring evaluation of identifiable factors
• Drive innovation in methods and tools through networking with key contacts
• Translate business needs into technical requirements for strategic planning
• Build cross-functional relationships to deliver tactical business targets
• Advise others on complex matters related to bioinformatics and engineering
• Design and implement advanced bioinformatics solutions involving genomics and genetics
• Collaborate with molecular biology teams on assay development, including experimental design and analysis
• Support regulatory compliance through analysis and technical writing for verification, validation, and documentation
• Develop and optimize complex analysis pipelines based on bioinformatics algorithms
• Guide result interpretation and reporting standards considering medical and commercial requirements
• Establish quality control metrics and procedures to ensure data integrity
• Improve accuracy, COGS, and turnaround time (TAT)
• Lead verification and validation efforts following compliance processes
• Interface with clinical and commercial stakeholders using bioinformatic data
• Evaluate genomic data to deliver confident results for complex variants and identify system limitations
• Architect and implement complex software systems
• Design maintainable, debuggable, and observable systems and APIs
• Establish development standards through quality feedback on designs
• Improve system reliability and performance through appropriate metrics
• Lead technical design reviews for right-sized components
• Implement robust testing frameworks with team leads
• Guide technical architecture decisions for adjacent software systems
• Establish monitoring systems supporting debuggability and observability
• Drive adoption of engineering best practices within and across teams

• Work with experienced hydrogeologists, engineers, and environmental scientists on groundwater-related projects and investigations
• Support technical work on multiple projects simultaneously
• Perform field monitoring, including recording well information and groundwater-level measurements
• Collect groundwater and surface water samples for laboratory analysis
• Develop maps, charts, and tables conveying decision-grade information
• Conduct research and analyze data
• Prepare and write routine reports
• Collect, quality-check, and upload groundwater and surface water quality and water-level data into databases
• Support stakeholder processes by attending Board and technical committee meetings, taking minutes, and preparing memos and presentations
• Communicate with project managers, clients, landowners, regulators, and other stakeholders
• Pursue continuous technical improvement

Scientist – Geologist I

• Design and run studies establishing what Circadia's platform does for patients and costs
• Own studies end to end: frame questions, choose designs and comparators, run analyses, and publish results
• Analyze hospital readmission rates, fall rates, time to clinical intervention, emergency department and inpatient utilization, length of stay, total cost of care, and clinician productivity
• Own clinical evidence and health economics, including peer-reviewed publications and ROI/cost-avoidance analyses
• Establish standards for making and substantiating company claims
• Collaborate with the Chief Scientist, analytics team, and clinical teams at customer facilities
• Scope studies using operational data, defining questions, cohorts, observation periods, and endpoints
• Select and defend observational and quasi-experimental designs when randomization is unavailable
• Build comparison groups, baselines, and risk-adjustment approaches
• Write prespecified analysis plans and define study claims
• Own IRB submission, human-subjects determination, conflict-of-interest, and AI-assistance disclosure
• Shape future deployment data collection for publishable studies
• Analyze Medicare claims, EHR, platform, and customer operational data
• Apply matching, causal inference, and mixed-effects methods
• Evaluate confounding, selection bias, immortal time bias, and balance diagnostics
• Translate Circadia operations and billing into claims-detectable logic
• Define and report ROI and cost avoidance; conduct subgroup analyses
• Draft and publish manuscripts in journals such as JAMDA and JAMIA; manage peer review and revision
• Produce conference abstracts, white papers, and commercial evidence while maintaining consistent claims
• Present findings to clinical, payer, and executive audiences and support customer and partner conversations

Senior Scientist, HEOR/RWE

• Master protocols, applications, and troubleshooting for all QSI products
• Understand proteomic applications and align QSI products and applications with market needs
• Communicate technical details of QSI products and applications in pre-sales meetings
• Lead technical discussions with customers
• Conduct seminars and present technical datasets
• Identify customer needs and provide solutions using QSI instruments, reagents, kits, and applications
• Draft experimental plans and set expectations during product evaluations
• Draft and present demo reports
• Manage onsite and remote onboarding of QSI products and software
• Conduct onsite training on QSI instruments, software, and reagent workflows
• Drive instrument utilization through collaboration with sales and customer project plans
• Manage technical support cases via SFDC, email, phone, and site visits
• Determine when instrument repairs are needed and initiate repair processes
• Troubleshoot instrument, software, kit, and application problems and escalate as needed
• Participate in tradeshows and drive customer advocacy
• Provide input on application notes and technical collateral
• Promote product positioning and messaging in customer interactions
• Champion customer-requested applications to Market Development and Product Management
• Report to the Senior Director, Field Applications and Services
• Collaborate with sales, product management, market development, and marketing

Senior Field Application Scientist, AMR

• Help shape Sofar’s underwater acoustics strategy and technical vision for an underwater acoustics platform
• Develop capabilities to detect, classify, and localize underwater objects using passive and/or active acoustic sensing
• Advance methods for creating acoustic maps of the marine environment, including ambient soundscapes, propagation conditions, and oceanographic context
• Provide an acoustics-centric perspective on sensing system design, deployment strategy, data quality, and performance validation
• Collaborate with oceanic and sensing scientists, software engineers, and firmware teams to translate acoustic research into operational products
• Coordinate and conduct field experiments, data analyses, and simulation studies to evaluate acoustic system performance in real-world ocean conditions
• Bring marine acoustics expertise to Sofar’s ocean science, sensing, and forecasting teams
• Contribute to product requirements, technical roadmaps, and research priorities for new underwater acoustic capabilities
• Represent Sofar externally with customers, research partners, government agencies, and the ocean acoustics community

Scientist jobs in California

Field Application Scientist – Flow Cytometry

Senior Bioinformatics Scientist

Staff Bioinformatics Scientist – Oncology/MRD Algorithm Development

Senior Field Application Scientist, Downstream Bioproduction

Senior Bioinformatics Scientist

Senior Bioinformatics Scientist

Scientist – Geologist I

Senior Scientist, HEOR/RWE

Senior Field Application Scientist, AMR

Staff Scientist – Underwater Acoustics