Data Scientist, Spatial Omics

EDUCATION:
Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. 

Preferred: PhD degree in computer science, quantitative science, bioinformatics, data science, Genomic, Biostatistics, Biomedical Informatics, Engineering or related field experience and:

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

Preferred:

* Experience with best practices in spatial omics data analysis, including multimodal data integration.

* Demonstrated ability to develop, optimize, and maintain bioinformatics pipelines.

 * Technical Proficiency

 * Proficiency in at least two or more programming languages, such as R and Python.

* Expertise in modern workflow languages, such as Nextflow, WDL, or CWL for scalable, reproducible bioinformatics pipelines.

* Experience with containerization technologies, including Docker, Docker Swarm, and Kubernetes, for creating reproducible and scalable environments.

* Proficiency in version control systems (e.g., Git, and GitHub) and Linux system administration.

* Familiarity with FAIR principles (Findable, Accessible, Interoperable, and Reusable) for data and tool development to ensure reproducibility and accessibility of scientific workflows.

Soft Skills:

Must be honest, highly motivated, reliable, responsible, and well-organized.  Strong attention to detail, with the ability to multi-task and a willingness to learn new methods and technologies. Excellent written and verbal communication skills. Ability to work effectively in a collaborative and interdisciplinary team environment (strong plus). 

 Additional Qualifications:

* Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure) is a plus.

* Knowledge of high-performance computing (HPC) environments is a plus.

  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. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html