Based in Durham, North Carolina, Xilis, Inc. is a biotechnology company developing a precision oncology platform that guides treatment decisions for oncologists to improve cancer care outcomes for patients and supports drug discovery and development for pharmaceutical companies. Xilis’ proprietary MicroOrganoSpheres (MOS) are miniature patient tumors that capture the full microenvironment and heterogeneity and provide an automated and scalable solution. Using MOS, high-throughput automation, and AI-driven algorithms, Xilis is developing a Xilis Response Score™ for the clinic, enabling oncologists to make informed and timely treatment decisions. Additionally, the MOS technology is speeding up the development and clinical trials of cancer drugs by enabling analysis of authentic tumor microenvironments, high-throughput preclinical modeling, and clinical patient selection capabilities.

We are supported in this mission by top Silicon Valley, New York, and international venture firms that are leaders in the healthcare space and have invested in top precision medicine companies including Foundation Medicine and Guardant Health.

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Role*
The Data Science team supports all data, machine learning, and analytical approaches across Xilis. In this role, you will define and develop the core image analysis and algorithms powering the Xilis platform. You will also tackle some of the most fascinating biological and technical questions related to functional precision cancer therapeutics, be part of a fast-paced early-stage startup, and have the opportunity to shape the data science team and product development.
Additional responsibilities include

• Characterize 2D and 3D biological systems from brightfield, fluorescence, confocal, and other imaging modalities.
• Lead the design and implementation of pipelines and image segmentation algorithms that harness multiple sources of data in order to garner biological and clinical insights from large discovery efforts.
• Develop scalable approaches to extracting relevant signals from 3d microscopy images and other data types, using state-of-the-art computer vision techniques.
• Work closely with experimental scientists, device engineers, R&D, software, and operations teams to deliver solutions to further the Xilis platform.

Requirements

• Ph.D. in computer science, data science, engineering, or a related discipline with 3+ years of industry experience or MS with 5+ years of industry experience
• Experience in computer vision
• Bonus: knowledge of biological and experimental systems; hands-on experience with microscopy images
• Expert knowledge of biostatistical methodologies
• Expertise in Python and Linux shell environment
• A proven track record of launching successful internal or external products
• Strong verbal and written communication skills
• Ability to work well in a fast-paced startup environment, delivering high-quality results under tight timelines
• Strong team player: the ability to work together with your team as well as cross-functionally and across institutions, to accomplish your goals

Xilis was created when its three founders — an engineer, a physician, and a biologist — decided to come together and commercialize their technology to transform cancer care. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Furthermore, even if your work experience isn't perfectly aligned with what we've described above, if you're excited about what we're building then we want to talk to you!

Xilis offers comprehensive health, vision, dental & retirement plans, and unlimited PTO. We are a remote/hybrid-friendly team: our headquarters are in Durham, North Carolina, but we have team members across the US (and beyond!).

Job Type: Full-time

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