Senior Bioinformatics Scientist

Nautilus Biotechnology

. Partner with scientists to deliver proteoform and proteome assays built on Nautilus's single-molecule proteomics platform powered by Iterative Mapping .

Posted 9/29/2026full-timeSan Carlos • California • United StatesSenior💰 $126,000 - $182,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in bioinformatics and computational biology, with a strong foundation in applied statistics and proficiency in Python for data analysis. Capable of optimizing assay performance and effectively communicating complex results to diverse audiences.

Highest-signal resume keywords

PhD In BioinformaticsData Analysis Using PythonApplied Statistics ExpertiseAssay Development ExperienceExperience With Proteomics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical AnalysisAssay OptimizationHypothesis TestingPower/Sensitivity AnalysisImage ProcessingProtein DecodingQuality Control MetricsData ReconciliationSoftware Tool Development

Soft Skills

Exceptional Communication SkillsProblem-SolvingCross-Functional Collaboration

Tools & Technologies

PythonPandasNumPySciPyAWSAthenaS3LinuxGitDash

Industry Keywords

ProteomicsSingle-Molecule ProteomicsIterative MappingExperimental DesignData Warehousing

Tech Stack

Tools & technologies

AWSCloudLinuxNumpyPandasPython

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

PhD in Bioinformatics, Computational Biology, Biostatistics, Biophysics, Chemistry, or a related quantitative field
Minimum of 4 years of experience in industry
Exceptional written and verbal communication skills
Hands-on experience analyzing data from wet-lab experiments, ideally including assay development or optimization
Strong understanding of how bench work is performed and what drives assay performance
Demonstrated ability to trace complex, real-world data problems from raw data to root cause
Solid foundation in applied statistics, including distributions and variability, hypothesis testing, and power/sensitivity analysis
Proficient in Python for data analysis and visualization, including pandas, NumPy, and SciPy
Comfortable working across local machines, shared servers, and cloud environments, including Linux and Git
Experience with AWS data storage and processing services, such as Athena and S3, preferred
Hands-on bench experience preferred
Experience with proteomics preferred
Experience moving an assay from early development through production preferred
Experience building dashboards or interactive tools for non-computational users, such as Dash or Marimo, preferred
Willingness to work onsite at the San Carlos office; a minimum of three days in the office is required

Benefits

Comp & perks

Medical insurance
Vision insurance
Dental insurance
Group life insurance
Supplemental life insurance
401k retirement plan
Responsible paid time off
Parental leave
Competitive options grant at the time of hire
Potential for additional equity grants