Sr. Bioinformatics Scientist (Assay Development Analytics)

Karius•Redwood City, CA

55d•$142,231 - $213,347•Hybrid

About The Position

Karius is a life science, venture-backed clinical metagenomics company, focused on elevating patient care through microbial insights. We are committed to advancing diagnostic science and technology to optimize the diagnosis and treatment of infectious diseases. Through the use of genomics and AI, we are driven to improve the diagnostic landscape for infectious diseases. Karius delivers unprecedented diagnostic insight detecting microbial cell-free DNA circulating in the body to assist physicians to make rapid treatment decisions. Why Should You Join Us? Karius' core mission is to conquer infectious diseases through innovations around genomic sequencing and machine learning. The company's platform is already delivering unprecedented insight into the microbial landscape, providing clinicians with a comprehensive test capable of identifying more than a thousand pathogens directly from blood. Through this journey, we realized that the microbial cell-free DNA platform may hold value that goes well beyond the direct diagnosis of infections. You, as part of the Karius team, will be able to see the immense opportunity to expand the human knowledge around this emerging topic and apply it directly to critical problems in human health and disease. Position Summary You are highly curious and creative and desire to continuously grow and improve in your goal to make an impact on patients. You will be a key member of the Assay Development Analytics (ADA) team that helps drive the computational aspects of assay development, focusing on analysis and optimization of new chemistries and lab techniques. You will participate in experimental design, conduct thoughtful computational analyses by determining the analysis plan and executing it using the necessary tools and methodologies. You will work closely with colleagues in Molecular Biology to understand and deliver on our shared goals. You are a self-starter and always like to find ways to make things better. What's Fun About the Job? Karius is operating at the edge of what is now known to be possible in infectious disease diagnostics. With that, comes a wave of new and incredible challenges and opportunities. To deliver on that value, you will be tapping into some of the most advanced technologies, architecting and innovating where the current solutions simply don't suffice. You will get to see how much your work really matters.

Requirements

Ph.D. in computer science, statistics, mathematics, physics, genetics, bioinformatics, metagenomics, or related fields (preferably with a focus on computational biology or machine learning) with 3+ years of postdoctoral and/or industry experience; OR Master's degree with 5+ years of directly relevant industry experience.
Publications demonstrating innovative investigation and interpretation of biological data.
Proven proficiency, and understanding of, modern statistics and machine learning.
Proven proficiency with high-dimensional, large-scale datasets characterized by low signal-to-noise.
Demonstrated excellence in communication and collaboration within cross-functional, multidisciplinary teams.
Self-starter with the ability to independently drive results and influence project direction.
Evidence of innovation in connecting biological insights to complex mechanisms of microbiome and host-environment interactions.
Familiarity with a range of relevant laboratory techniques (either through hands-on work or from collaborations with laboratory-focused colleagues).
Familiarity and experience with bioinformatics tools, approaches, and workflows, particularly those related to next-generation sequencing data analysis.
Familiarity with design of experiments (DOE) approaches to optimize process settings.

Responsibilities

Individual contributor to Assay Development Analytics (ADA), which drives the computational aspects of assay development, focusing on analysis and optimization of new chemistries and lab techniques.
Participate in experimental design, conduct computational analyses, understand rationale, set the analysis plan, and execute using the necessary tools and methodologies to deliver innovative assays.
Work closely with colleagues across the Molecular Biology and Laboratory Operations teams to understand the properties of the assays and ways to improve our technologies.
Continue to grow and learn in the necessary mathematical, technological, and software aspects of the field through internal knowledge acquisition and staying current with the latest relevant literature.
Open to exploring multiple approaches for problem-solving and modeling including borrowing across a wide range of quantitative disciplines.
Ensure high standards of data integrity, quality control, and validation, while maintaining rigorous quality documentation and dissemination of scientific findings.
Provide clear visibility into areas of ownership and communicate weekly progress and results to stakeholders.
Continue to grow and learn in the necessary biological/scientific domains and technological aspects of the field through novel knowledge acquisition but also staying current with the latest relevant literature.
Share a passion for ensuring the quality of our statistical analysis, via reliability, reproducibility, and rigor.

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