Job Description
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description You are highly curious, creative, and driven by a desire for continuous growth with the ultimate goal of making a meaningful impact on patients’ lives. As a key and integral member of the Computational Biomarker Discovery team, you will focus on deeply exploring and analyzing the complex biological interplay between diverse conditions and molecular data. In this role, you will help unlock preliminary biological signatures to inform translational science and precision medicine beyond the conventional infectious disease arena, and into areas such as autoimmune and cancer.
• Design analysis plans, execute computational workflows, and partner for method and machine learning model development. • Integrate biological rationale with data-driven insights to uncover meaningful connections. • Bring a passion for applying technology in novel ways, generating innovative hypotheses, and revealing hidden patterns in data. • Drive discoveries that push the boundaries of biomarker research and patient care. Qualifications • 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 the use of innovative mathematical or computational models to investigate and interpret biological and biomarker data. • Strong background in modern statistics and machine learning, including applications to biomarker discovery. • 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. • Deep understanding and hands-on experience with bioinformatics tools, methods, and workflows, especially those related to next-generation sequencing (NGS) data analysis. • Familiarity with exploratory study and clinical trial designs and analyses, particularly in pharmaceutical or biotechnology applications. Requirements • Lead data analysis and interpretation of complex biological datasets, including next-generation sequencing (NGS), metagenomics, transcriptomics, fragmentomics, and single-cell analysis.
• Create or adapt computational tools and algorithms to support biomarker discovery and workflows. • Drive bioinformatics aspects of cross-functional research projects in collaboration with scientific and medical leaders. • Conduct deep exploration of the biological interplay between molecular data and disease conditions. • Deliver preliminary biological signatures that inform precision medicine applications beyond infectious disease. • Partner in experimental design by defining analysis plans, selecting appropriate methodologies, and executing computational analyses.
• Collaborate closely with scientific, medical, engineering, and commercial teams to set company goals. • Ensure high standards of data integrity, quality control, and validation. • 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. • Share enthusiasm for exploring novel applications of Karius’ technology platform to drive innovation and impact.
Benefits • Travel to HQ on a quarterly basis if remote. • Subject to extended periods of sitting and/or standing, vision to monitor, and moderate noise levels. • Work is performed in an office environment. Personal Qualifications • Passionate, purpose-driven, and excited about Karius’ mission: to conquer infectious diseases through innovations around genomic sequencing and machine learning. • Excellence at communication and collaboration within a cross-functional team. • Detail oriented with exceptional organizational and time management skills.
• Self-starting mentality and ability to drive results. • Comfortable working in an environment which combines both research aspects as well as development. • Ability to work effectively and efficiently in a fast-paced (startup) environment. Apply tot his job