Bioinformatics Research Scientist II

At Nautilus, we have a big and important mission: improve the health of millions by unleashing the potential of the proteome to accelerate drug development and enable a new world of precision and personalized medicine. We are developing a single-molecule protein analysis platform of unprecedented sensitivity, scale, and ease of use that we believe will democratize access to the proteome – one of the most dynamic and valuable sources of biological insight. To accomplish this, we are pursuing hard scientific problems with an entrepreneurial mindset and creating a world-class team of builders, innovators, and dreamers across a wide range of disciplines.   
We are hiring a Bioinformatics Research Scientist II for the Probe Bioinformatics Group to join our growing team of world class scientists and engineers. The Probe Bioinformatics team is embedded within the Probe Development group, which is responsible for the identification, validation, and maturation of affinity reagents (probes) that are being used in protein decoding experiments on the Nautilus platform. The incumbent will work hand in hand with internal and external experimentalists from diverse backgrounds and experience levels to develop sound experiments and lead subsequent data curation, storage, and analysis.  
We are looking for someone who is comfortable interacting with bench scientists as well as fellow-bioinformaticians and software engineers to improve existing data and analytics infrastructure. The successful applicant will also leverage their own ideas and expertise to develop new innovative approaches to propel the development of affinity reagents forward.  
This position will report to the Probe Bioinformatics team lead and is located in San Carlos, CA, San Diego, CA, or Seattle, WA. A minimum of three days in office, preferred. 

Responsibilities

• Work closely with experimentalists from affinity reagent discovery teams to answer key research questions with the goal of continuously improving processes and success rates  
• Routinely analyze statistical trends in high-throughput data and perform correlations across experiments to inform direction of research 
• Provide technical expertise for the design of experiments and the resulting data capture and curation steps to maximize knowledge gained 
• Develop automated pipelines for the ingestion, curation, and analysis of experimental data  
• Work collaboratively on shared code bases, contributing personal work following high code quality standards 
• Contribute to Nautilus’ self-service reporting infrastructure by creating compelling visualizations based on queried data 

Qualifications

• PhD in Bioinformatics or related field with a minimum of 2-4 years of relevant industry experience or a BS/MS and 8-10 years of experience in a related field is required 
• Demonstrated the ability to employ statistical tools for the analysis of complex data sets to identify trends and correlations 
• Proficient with Python, Jupyter notebooks, and related analytics packages, such as numpy, pandas, scipy, etc 
• Good working knowledge of relational databases and SQL 
• -Comfortable working independently with a minimum of supervision as well as being part of a larger team 
• -Excellent interpersonal skills and the ability to effectively communicate complex technical topics to a non-technical audience 
• Excellent at time management, well organized, and have the proven ability to prioritize your work effectively 
• Thrive in an environment that requires you to have multiple areas of responsibility and manage these effectively 

Preferred Skills

• Experience with Django (backend) and a frontend frameworks such as Angular or React. 
• Experience with AWS (VPC, EC2, S3, Athena, RDS, Batch, ECR, Lambda, Step Functions) 
• Knowledge of machine learning techniques for the identification of patterns in NGS data 
• Experience with testing frameworks such as pytest or unittest and developing code in a production environment 
• Familiarity with Mode Analytics  

Nautilus Team Culture

• We are curious go-getters: this is a team of life-long learners who aren’t afraid to tackle the big challenges and we embrace the journey 
• We are detail oriented: we do great science by working smart & with diligence where we learn from our trials and mistakes 
• We are easy to work with: we want our workplace to be one where everyone can share their perspective and be treated with respect and kindness 

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