Search for Senior Data Scientist roles in Texas, focused on healthcare AI, requiring 5+ years of experience, with remote flexibility, and familiarity with Python and machine learning.

I've searched for Senior Data Scientist roles in Texas focused on healthcare AI, requiring 5+ years of experience, with remote options available, and a preference for expertise in Python and machine learning. I found 87 suitable positions for you to consider.

Senior Data Scientist

Texas

Healthcare

5 years + Experience

Remote

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Senior Data Scientist - Healthcare AI at MD Anderson Cancer Center is fundamentally tasked with the vital mission of leveraging advanced data science and artificial intelligence to improve cancer care. The role emphasizes the design, validation, and deployment of AI solutions targeted specifically towards oncology, utilizing complex, multimodal healthcare data. A key responsibility will be executing AI lifecycle management, ensuring consistent compliance with healthcare regulations while facilitating cross-functional collaboration among clinicians and engineers. The successful candidate will navigate challenges such as translating intricate clinical scenarios into actionable AI insights and managing the comprehensive AI validation process to ensure clinical and operational outcomes are met. This position requires a blend of technical skills—such as proficiency in Python and machine learning tools—alongside strong problem-solving and decision-making abilities, with a view toward thoughtful innovation in the ever-evolving landscape of healthcare technology.

Company Analysis:

MD Anderson Cancer Center is a leading institution globally renowned for its dedication solely to cancer care and research. As a stable yet innovative player within the healthcare sector, it maintains a strong focus on patient-centered care integrated with robust research mechanisms. The company culture seems to value collaboration, diversity, and a relentless pursuit of excellence, which influences how a Senior Data Scientist will operate. This role is positioned within a dynamic, interdisciplinary team where cross-functional interaction is essential, thus offering a significant opportunity for visibility with senior leadership and the potential for impactful contributions. The strategic alignment of this hire reflects MD Anderson’s commitment to harnessing AI innovations to enhance cancer treatment and prevention, underscoring the importance of this role in reinforcing the organization’s mission to #EndCancer. A cultural adaptability to a fast-paced, mission-driven environment will be crucial for long-term success.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Behavioral Questions:
1. Tell me about a time when you had to collaborate with a multidisciplinary team to deliver a data-driven solution. What challenges did you face, and how did you overcome them?
1. Describe a situation where you had to validate an AI model in a clinical setting. What approach did you take and what were the results?
1. Share an experience where you encountered a significant obstacle during a project involving AI/ML. How did you address it?
1. Can you give an example of how you communicated complex technical information to a non-technical audience?
Technical/Role-Specific Questions:
1. What methodologies have you employed in the past for validating AI models in healthcare? Can you walk us through your process?
1. How would you design a scalable AI/ML pipeline intended for production in a healthcare setting?
1. Describe your experience with healthcare data standards, such as FHIR or HL7. How do these standards impact your work?
1. Which machine learning algorithms do you find most effective in oncology applications, and why?
Situational Questions:
1. Imagine you are tasked with integrating an AI solution into a clinical workflow that is resistant to change. How would you handle this situation?
1. Suppose you discover that an AI model you deployed is not performing as expected in clinical scenarios. What steps would you take to address this?
Company Fit/Motivation Questions:
1. Why are you specifically interested in contributing to MD Anderson's mission to #EndCancer?
1. How do the values of MD Anderson align with your personal beliefs and career aspirations?
Questions for the Candidate to Ask the Interviewer:
1. What opportunities does MD Anderson provide for professional development in AI and machine learning?
1. How does the team measure the impact of AI initiatives on patient care and outcomes?
1. Can you describe the current challenges the organization faces with integrating AI solutions across different departments?

Job Details

Overview Company

Senior Data Scientist

$123k/y-$185k/y

MD Anderson Cancer Center

2 days ago

Highlight

RemoteFull-time5+ yearsSenior

Summary

MD Anderson Cancer Center is seeking a Senior Data Scientist - Healthcare AI to join their team remotely in Texas. The role involves designing, developing, validating, and deploying AI solutions using real-world healthcare data, focusing on oncology and healthcare.

About the Role

As a Senior Data Scientist, you will be responsible for developing scalable AI/ML models using multimodal healthcare datasets, managing AI model lifecycles, and ensuring regulatory compliance. You will collaborate with multidisciplinary teams to integrate AI within clinical workflows and drive innovation in healthcare AI.

About You

Required:

Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
Five years of experience in scientific software or industry programming with a concentration in scientific computing.
Strong proficiency in Python and either C++ or C#.
Experience with healthcare data types and standards (FHIR, HL7, DICOM).

Preferred:

Master's/Doctorate degree.
Epic certified; EPIC cogito, EPIC caboodle, EPIC Cognitive Compute.
Azure Data Scientist Associate (DP-100) or equivalent.
Azure AI Engineer Associate (AI-102) or equivalent.
SAFe (Scaled Agile Framework) Certifications or equivalent.
Two years of academic or healthcare industry experience in a Senior Data Scientist role.
Exposure to generative AI, large language models (LLMs), and agentic AI.
Experience with AI orchestration and autonomous agent development.

Benefits

Referral Bonus Available
Relocation Assistance Available

MD Anderson Cancer Center

The University of Texas MD Anderson Cancer Center is one of the world's most respected centers devoted exclusively to cancer patient care, research, education and prevention. MD Anderson provides cancer care at several convenient locations throughout the Greater Houston Area and collaborates with community hospitals and health systems nationwide through MD Anderson Cancer Network®.

U.S. News & World Report's "Best Hospitals" survey has ranked MD Anderson the nation's top hospital for cancer care. Every year since the survey began in 1990, MD Anderson has been named one of the top two cancer hospitals. The recognition reflects the passion of our 21,000 extraordinary employees and 1,000 volunteers for providing exceptional care to our patients and their families, and for realizing our mission to #EndCancer.

You can view all of our career opportunities at careers.mdanderson.org.

Houston, TX