Senior Bioinformatics Scientist
Nautilus Biotechnology
Posted: 10/20/2026AWSCloudLinuxNumpyPandasPythonSQL
Senior Scientist, Biostatistics
Johnson & Johnson
Posted: 10/20/2026Senior Scientist, Biostatistics
Johnson & Johnson
Posted: 10/20/2026
Decision Scientist – Automation & Optimization
CVS Health
Posted: 10/19/2026PythonSQL
Field Applications Scientist
Repligen Corporation
Posted: 10/19/2026
Biologics Upstream Scientist
Eli Lilly and Company
Posted: 10/19/2026Flask
Senior Product Scientist
Datavant
Posted: 10/19/2026Python
Analytical Science and Technology Scientist
BioPharma Consulting JAD Group
Posted: 10/19/2026
Drug Discovery Scientist
Mercor
Posted: 10/17/2026Drug Discovery Scientist
Mercor
Posted: 10/17/2026
Bioinformatics Scientist
Natera
Posted: 10/16/2026LinuxPythonShell Scripting
Molecular Bioinformatics Scientist, Virology
Cherokee Federal
Posted: 10/16/2026
Senior Applications Scientist
Onto Innovation
Posted: 10/16/2026Python
Senior Managing Scientist
ToxStrategies, a BlueRidge Life Sciences Company
Posted: 10/16/2026Senior Scientist, Biomaterials R&D
Johnson & Johnson
Posted: 10/16/2026Assembly
Senior Scientist, Biomaterials R&D
Johnson & Johnson
Posted: 10/16/2026Assembly
Lead Scientist, Bioengineer
LatchBio
Posted: 10/15/2026
Field Application Scientist, Pathway & NGS Analysis Software
QIAGEN
Posted: 10/15/2026
Medical Laboratory Scientist I – Hematology, Evening Shift
University of Arkansas System
Posted: 10/15/2026
Health Scientist II
Chickasaw Nation Industries, Inc.
Posted: 10/15/2026Senior Bioinformatics Scientist
Nautilus BiotechnologyPosted 10/20/2026full-timeSan Carlos • California • United StatesSenior💰 $126,000 - $182,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in assay development and optimization, with a strong foundation in applied statistics and hands-on experience in data analysis from wet-lab experiments. Proficient in Python and SQL, capable of building analysis pipelines and dashboards while effectively communicating findings and recommendations.
Highest-signal resume keywords
PhD In BioinformaticsHands-On Experience Analyzing DataProficient In PythonExperience With ProteomicsSolid Foundation In Applied Statistics
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Partner side by side with experimentalists to develop and optimize a new assay format
- Design experiments, select conditions to vary, define success metrics, and recommend a path forward based on results
- Troubleshoot protocols across sample preparation, reagents, fluidics, imaging, and data processing
- Analyze and integrate images, fluidics readouts, fluorescence signals, and decoded single-molecule outputs
- Own interpretation of results, confidence assessment, next-step recommendations, and communication of progress and risks
- Work with R&D leadership to frame findings and inform project direction
- Design and build a durable analysis pipeline, quality-control metrics, and dashboards for the new data type
- Balance rapid one-off analyses with tested, reusable tools for the broader team
- Develop analytical and statistical approaches for stochastic single-molecule measurements
- Locate and access assay data across cloud databases, object storage, on-premises file servers, and raw instrument output
- Write code to parse instrument metadata and manage cloud access as needed
- Report to a Bioinformatics Fellow
Requirements
What you’ll need- A PhD in Bioinformatics, Computational Biology, Biophysics, Biochemistry, Biostatistics, or a related quantitative field
- A minimum of 4 years of experience in industry
- Track record as an applied, hands-on scientist who gets things done
- Hands-on experience analyzing data from wet-lab experiments
- Demonstrated record of assay development or optimization in close partnership with experimental teams
- Ability to own a project end to end, from experimental design and analysis through interpretation and recommendations
- Exceptional written and verbal communication skills
- Solid foundation in applied statistics, including distributions and variability, hypothesis testing, and experimental design
- Proficient in Python, including pandas, NumPy, and SciPy, and SQL
- Experience building durable pipelines, dashboards, and rapid one-off analyses
- Comfortable working across local machines, shared servers, and cloud environments such as AWS
- Experience with Linux and Git
- Ability to manage access credentials
- Ability to contribute on an organized and dynamic team in a fast-paced environment
- Hands-on wet-lab experience strongly preferred
- Experience with proteomics, fluorescence imaging, single-molecule methods, instrument development, or affinity reagents preferred
- Experience with probabilistic modeling of stochastic data or protein structural modeling preferred
- Minimum of three days in the office is required
Benefits
Comp & perks- Medical insurance
- Vision insurance
- Dental insurance
- Group and 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Assay DevelopmentExperimental DesignData AnalysisStatistical ApproachesPipeline DevelopmentFluorescence ImagingSingle-Molecule MethodsProbabilistic ModelingInstrument DevelopmentAffinity Reagents
Soft Skills
Exceptional Communication SkillsTeam CollaborationProject Ownership
Tools & Technologies
PythonSQLAWSLinuxGitPandasNumPySciPy
Industry Keywords
BioinformaticsComputational BiologyBiophysicsBiochemistryBiostatisticsWet-Lab ExperienceStochastic DataExperimental Design