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Associate Director, Bioinformatics Analysis & Interpretation

Nautilus BiotechnologySan Carlos | San Diego, California, United States | Seattle, Washington, United StatesOnsite
This job is no longer open

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 for an Associate Director to lead our Analysis & Interpretation Bioinformatics Team. The Analysis & Interpretation team plays the critical role of drawing insight from data supporting internal R&D, external collaborators, and customers alike. In this role, the team lead will guide efforts in data analysis and interpretation leveraging a broad skillset across data science, machine learning, and computational biology. Naturally, a major component of this role will be helping interpret how diverse experimental factors influence the performance of components of our one-of-a-kind single-molecule protein and proteoform quantification platform.

The scope of the data encountered by the team covers a broad range. For example, there may be a need to analyze next generation sequencing data one day, single-molecule fluorescence imaging data the next, and protein kinetic data the next! Additionally, a key responsibility will be working with experimentalists to design experiments to test different hypotheses around factors driving the performance of our platform. Our novel proteomic technology is still in its formative stages, which means that anyone in this role will be able to have a meaningful & outsized impact on our technology and on the company’s path to future success. This position will report to the Director, Bioinformatics. Location can be in San Carlos, CA; Seattle, WA; or San Diego, CA.

Responsibilities



  • Lead the bioinformatics team responsible for supporting analysis and interpretation of experimental data.

  • Develop and apply statistical learning approaches to generate clear, actionable statements and visuals from biologically relevant datasets.

  • Devise and deploy custom machine learning approaches where applicable.

  • Provide feedback and guidance to wet-lab scientists on experimental design.

  • Collaborate with the software team to integrate novel analytical approaches into production tooling.

  • Develop the technical expertise, managerial skills, strategic thinking, and communications abilities of the Bioinformatics Analysis & Interpretation team.

  • Draft quarterly and yearly plans for the team and align with cross-functional team leads.

  • Serve as the technical representative for the Bioinformatics Analysis and Interpretation team company wide.

Requirements



  • A PhD degree in Bioinformatics, Computational Biology, Statistics, Data Science or similar field.

  • 10+ years of experience in developing and applying bioinformatic analyses in the fields of proteomics or genomics.

  • 5+ years of experience in a bioinformatics leadership role.

  • Excellent track record of leading complex bioinformatics projects throughout all stages, from inception to deployment.

  • Proven ability to guide experimental design and generate inferences from data using customized approaches in data science.

  • Expert at applying statistical analysis and visualization approaches to surface insights within various types of data.

  • Expert at working with imperfect data: data with missing values, batch effects, and confounding factors.

  • Expert at working with primary data from many different modalities and across a wide range of formats.

  • Demonstrable experience building analyses spanning hundreds of experiments.

  • Familiarity with a variety of programming languages, frameworks, and tools, especially Python.

  • Must have experience with building bespoke analytical approaches and working with raw data.

  • Strong organization and communication skills, with the ability to lead others both directly and through collaboration.

  • Ability to have fun when building complex systems while working side-by-side with experts from a variety of disciplines.

  • Self-motivated, driving projects forward to meet deadlines.

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 while continuously pushing ourselves forward.

  • We are detail oriented: we do great science by working smart and with diligence, and by learning from our 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.

#LI-ONSITE Compensation Range: $164K - $221K

This job is no longer open

Life at Nautilus Biotechnology

Born from the foundersᅢᄁ¬ツᆲ¬トᄁ recognition that their diverse but complementary skills and experiences would enable them to successfully address challenges that others had not, the company set about solving a vexing problem: how to bring true proteomics to the world in a way that accelerates therapeutic development, dramatically improves medical diagnostics, and makes personalized and predictive medicine a reality. The extraordinary team at Nautilus represents a wide spectrum of disciplines and expertise, including: protein chemists, chip designers, molecular biologists, data scientists, material scientists, biophysicists, optical engineers, microfluidics engineers, bioinformaticists, software engineers, and more. Nautilus is positioned to revolutionize proteomics, transform the way drugs are developed, and significantly improve the way human health is managed.
Thrive Here & What We Value1. Curiosity gogetters2. Detail oriented3. Easy to work with4. Embracing the journey5. Service-oriented approach6. Learning from trials and mistakes7. Teamwork and collaboration across disciplines8. Lifelong learners9. Respect and kindness10. Collective success driven by willingness to pitch in
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