Head of Computational Biology

1 week ago


Redwood City, California, United States Karius Full time

Location: Hybrid

About Karius: Karius is a pioneering life sciences startup dedicated to revolutionizing the diagnosis of infectious diseases.

Utilizing advanced Next-Generation Sequencing and proprietary analytical techniques, we are capable of identifying over 1,000 human pathogens from a single blood sample, typically within one business day.

By unlocking the insights contained in microbial cell-free DNA, we empower healthcare professionals to swiftly address their most complex cases, with a vision to expedite clinical trials, discover new microbes, and alleviate patient suffering globally.

Why Join Karius? Our core mission is to combat infectious diseases through groundbreaking innovations in genomic sequencing and machine learning.

Our platform provides unparalleled insights into the microbial landscape, offering clinicians a comprehensive test that identifies more than a thousand pathogens directly from blood samples.

As a leader in one of Karius' most innovative teams, you will have the opportunity to influence and drive critical aspects of our core technology platform, significantly impacting patients affected by infectious diseases and beyond.

Position Overview: We are in search of an outstanding Head of Computational Biology to guide our experienced team of computational biologists and data scientists.

This role is crucial for steering some of our most ambitious innovations, grounded in state-of-the-art statistical learning algorithms and probabilistic modeling.

You will thrive in multidisciplinary environments, energized by scientific innovation that has the potential to make a foundational impact on patient care, supported by significant academic and professional accomplishments.

Key Responsibilities:

  • Leadership & Strategy: Lead the computational biology and data science team towards achieving key innovations aligned with Karius' strategic objectives. Cultivate a culture of collaboration, excellence, continuous learning, and constructive feedback among team members.
  • Research & Development: Oversee substantial method development projects, contributing to advanced mathematical constructs, particularly in probabilistic modeling. Collaborate closely with medical experts to enhance analytical methodologies aimed at improving care for individuals suffering from infectious diseases.
  • Innovation & Execution: Propel the development and publication of methodological advancements that enhance our core product and broaden its application beyond infectious disease diagnostics.
  • Communication & Collaboration: Foster partnerships across various teams and departments within Karius and externally. Actively engage with multiple departments, playing a pivotal role at the intersection of computational biology, machine learning, and domain-specific challenges.

Qualifications:

  • Ph.D. in Electrical Engineering, Computer Science, Physics, Statistics, Genetics, or a related field, with a strong publication record demonstrating significant method development capabilities.
  • 7+ years of industry experience leading the development of advanced computational and analytical methods.
  • 3+ years of experience managing a senior team of scientists and computational biologists.
  • Proficiency in probabilistic modeling, machine learning algorithms, and other mathematical tools.
  • Exceptional communication skills, with a proven ability to convey complex ideas clearly to scientific communities and leadership teams.

Personal Attributes: We seek a humble, curious individual with experience as both a mentor and mentee. At Karius, we value innovation, collaboration, and the real-world impact of our work.

If you share our vision and possess a relentless curiosity to tackle complex scientific challenges, we encourage you to consider this opportunity.

Commitment to Diversity: Karius is dedicated to fostering a diverse and inclusive workplace, providing equal employment opportunities for all applicants and employees.



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