MIN: $160,500 MID: $203,000 MAX: $245,500

The ideal candidate will have 2 years of computational pathology experience.

SUMMARY

The University of Texas MD Anderson Cancer Center (MDACC) is the #1 cancer center in the U.S. and a leader in cancer research and innovation through our devotion to improving the care of cancer patients. This commitment is brought to life in the Institute for Data Science in Oncology (IDSO), a flagship program designed to reshape patient experiences and fast-track scientific breakthroughs via data-driven cancer care methodologies. The IDSO embodies a data-centric culture, pushing the envelope of modern care and venturing into uncharted territories of cancer research and treatment. It is home to a vibrant team of data scientists committed to unraveling complex cancer challenges, reducing time between diagnosis and treatment decisions, and accelerating drug discovery.

MDACC is recruiting Data Scientists for its newly established Computational Pathology program. This program aims to distil meaningful insights from the extensive resources and data available at MD Anderson, particularly from cancer pathology that is currently benefiting from a digital revolution. Automated, unbiased sample selection and scalable study design will immediately facilitate deep spatial investigations in landmark MD Anderson programs, including APOLLO and Patient MOSAIC, to direct novel data analysis, enable translational studies, and generate clinical impact.

MDACC provides the ideal environment for developing, testing, and deploying AI technologies for improved early cancer diagnosis and accurate treatment selection. The Computational Pathology program is a key focus area of the IDSO and supports the IDSO’s mission to drive high-impact discovery research by optimizing multidimensional data integration, analysis, and application.

We seek a senior level data scientist to manage the daily operations and design and development of the computational methodologies, techniques, etc. for advanced research and development in numerical analysis, mathematical modeling and data processing techniques for this program. They will lead a team of data scientists to develop cutting edge artificial intelligence (AI) and image processing methods for digital pathology, and to conduct clinical evaluation studies for implementation of these AI tools in the pathology clinical work flow.

Work Schedule and location: Monday - Friday / 8am - 5pm / Onsite 2- 3 days - based on business needs. (Must live in Texas)

JOB SPECIFIC COMPETENCIES

Develop impact-driven AI technologies for pathologyManages daily operations of the team, oversees the designs, analysis, and development of algorithms and softwareManage the development and maintainance of software tools and deployments for solving specific problems
Directs and consults with users and other partners and stakeholders in analyzing, defining and resolving problems in computational pathology
Manages and oversees research projects under the direction of Professor Yinyin Yuan
Develops tools for automation and insight extraction
Communicates with industry partners to improve data science infrastructure
Develop key data science team performance metrics and reporting

Leadership

Can effectively execute on management and administrative tasks such as:

Screening, interviewing, hiring, onboarding and training of staff.

Collaborating with clinicians and researchers to fully understand, verify, document and communicate project requirements.

Providing daily leadership by meeting with team members in staff meetings and one on one, providing direction on day-to-day problem solving and assigned projects.

Coaching and mentoring, including creating development plans using KPIs and other observations that lead employees to achieve optimal results.

Coordinates with outside agencies and institutions to facilitate departmental objectives.

Participate in budget development, track expenses and provide routine financial reporting.

Prepares reports and other documentation (policies and procedures, training materials, etc.) required for the department.

OtherOther duties as assigned