Data Scientist - Houston, United States - MD Anderson Cancer Center

MD Anderson Cancer Center Houston, United States

3 weeks ago

Description

The mission of The University of Texas M. D. Anderson Cancer Center is to eliminate cancer in Texas, the nation, and the world through outstanding programs that integrate patient care, research and prevention, and through education for undergraduate and graduate students, trainees, professionals, employees and the public.

The University of Texas MD Anderson Cancer and its Institute for Data Science in Oncology (IDSO) includes five major focus areas for the development and application of data science and emerging medical technologies for positive impact in clinical care and operations. Within the IDSO focus area on

Quality, Safety, and Access is the Surgical Data Science Program under the direction of Dr. Jeffrey Siewerdsen. The Surgical Data Science Program includes a team of Data Scientists ("Surgineers") working in areas of data science, systems engineering, and technology development. In collaboration with surgeons, physicists, and engineers, the Data Scientist will contribute to research and translation of data science, multidimensional data analysis (including medical images), predictive modeling, and clinical outcomes.

The chosen applicant will have demonstrated experience with/in computing / programming (Python, Matlab, C++, CUDA, Julia, R and/or SQL), machine learning / deep learning methods including neural network design, computer vision / image analysis, and statistical analysis. Preference is for candidates with experience with common open source scientific computing/machine learning libraries including: scipy, pandas, statsmodel, OpenCV, XGBoost, PyTorch / TensorFlow. Experience with database languages such as SQL is also desirable. The candidate should also have experience with multiple modern techniques and algorithms in machine learning and statistical computing such as regression, clustering/segmentation, time-series analysis, recommender systems, predictive analytics, Bayesian modeling, data fusion, supervised/unsupervised learning, decision trees, A/B testing, natural language processing. Preference will be given to applicants with knowledge and experience in medical image analysis, including computed tomography, ultrasound, and x-ray radiography / fluoroscopy. Projects underway include translational research in image-guided surgery, interventional radiology, and multi-modality medical image registration.

Preference will be given to applicants with knowledge and experience in medical image analysis, including computed tomography, ultrasound, and x-ray radiography / fluoroscopy. Projects underway include translational research in image-guided surgery, interventional radiology, and multi-modality medical image registration.

JOB SPECIFIC COMPETENCIES

Planning and executing the details of experiments and in evaluating and interpreting the results.
Responsible for major participation in the development and revision of techniques, assembles and operates laboratory apparatus and equipment.
Collaborates or assists with supervisor and senior research staff with preparation of reports and grant requests.
Supervises technicians in their work and assists them as assigned or delegated.
Working with clinicians, clinical hardware and software (e.g., anesthesia, imaging, surgical robots, etc.), healthcare information systems (e.g., electronic medical records, EPIC, PACS, etc.) in the capture and curation of multidimensional data and development of new data science methods in surgery.
Development of computational modeling approaches related to surgical data science. Create data tools for analytics and data science team members.
Development of computational modeling approaches related to medical image analysis. Create data tools for analytics and data science team members.
Communicate with and provide consulting for internal teams and external collaborators on data models, analysis of findings, and process efficiency.
Create and maintain optimal data pipeline architecture. Build systems for optimal extraction, transformation, and loading (ETL) of data from a wide variety of clinical data sources. Build analytics tools that utilize the data pipeline to provide actionable insights into clinical workflow and/or operational efficiency.

Education Required:Bachelor's degree in Biomedical Engineering, Electrical Engineering, Physics, Applied Mathematics or related field.

Preferred Education:Doctorate (Academic)

Experience Required:Three years experience in scientific software development/analysis. With Master's degree, one years experience required. With PhD, no experience required.

Preferred Experience:Preference will be given to applicants with knowledge and experience in medical image analysis, including computed tomography, ultrasound, and x-ray radiography / fluoroscopy.

It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law.

Additional Information

Requisition ID:
Employment Status: Full-Time
Employee Status: Regular
Work Week: Days
Minimum Salary: US Dollar (USD) 91,000
Midpoint Salary: US Dollar (USD) 113,500
Maximum Salary : US Dollar (USD) 136,000
FLSA: exempt and not eligible for overtime pay
Fund Type: Soft
Work Location: Onsite
Pivotal Position: Yes
Referral Bonus Available?: No
Relocation Assistance Available?: Yes
Science Jobs: Yes

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