WEYTe Ez 6jyzGfVz2 - r3 gDgXRgzK / Life Sciences — Chicago, IL

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for t3 to impact clinical care in a meaningful way. 3ydbUM' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

At 3ydbUM, we are pursuing a mission to redefine precision medicine through data-driven insights. The r3 eN9rKM8m group is a multidisciplinary group of t3 scientists and engineers focused on developing nm-3VgGxc precision medicine and therapeutic solutions across the clinical and drug development lifecycle.

As a Staff aM HSU5PCJ7y, you will operate at the intersection of machine learning and clinical science. You will research, design, and deploy cutting-edge multimodal t3 models that leverage one of the world's largest clinical and molecular datasets—transforming patient care at a massive scale.

Key Responsibilities

• Technical Leadership: This is a high-impact individual contributor role, while significant hands-on contribution is expected. Architect and lead the development of VY-s3pZCt7CQ projects from initial research to production-ready design.

• Algorithmic Innovation: Design and train state-of-the-art models utilizing multi-modal data, including but not limited to pathology slides (WSI), genomic profiles (DNA/RNA), spatial omics, and longitudinal patient records.

• Collaboration with Life Sciences Companies: Develop sophisticated t3 solutions to support biomarker discovery, therapy outcome prediction, and the advancement of Companion Diagnostics (CDx).

• Regulatory Alignment: Ensure all t3 products meet stringent regulatory guidelines and quality standards for healthcare applications.

• Scientific Contribution: Maintain tDQRgv’H position as a thought leader by publishing original research in high-impact venues and engaging with the global t3 research community.

Qualifications

We value diverse perspectives and recognize that outstanding talent doesn't always follow a linear path. If you are passionate about this work and believe you have what it takes to thrive here, please apply even if you do not precisely match all the qualifications below.

• Education: Ph.D. in Computer Science, or a related quantitative field.

• Professional Experience: 3+ years of industry experience leading end-to-end development of machine learning models, from research and experimentation to validation and production deployment.

• Domain Expertise: Demonstrated expertise in large-scale deep learning and training production-grade models is required. Experience in computer vision and multimodal modeling (pathology, multi-omics, etc.) is preferred. Prior work in medical or healthcare t3 is highly valued but not required.

• Research Excellence: A strong track record of peer-reviewed publications in leading machine learning or computer vision venues. Publications in medical or healthcare t3 venues are preferred.

• Engineering Excellence: Proficiency in Python and the modern deep learning stack (e.g. Pytorch). Strong product-level coding skills for model development are essential, along with a solid understanding of industry-standard software engineering and development practices.

s2g 4q8j wjH h7Hkh - $220,000 - $260,000 USD

ze7GGxRd5s F2W 7b2qJ - $220,000 - $260,000 USD

XCc6HEw4 6Fe RgcGK - $200,000 - $240,000 USD

MqduvN - USA Range - $200,000 - $240,000 USD

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. 3ydbUM offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- 3ydbUM reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.