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The Gynecologic Oncology and Reproductive Medicine department at MD Anderson's Cancer center is internationally renowned for research-driven patient care, specializing in the medical and surgical treatment of all types of gynecologic cancers including ovarian, vaginal, vulvar, endometrial and cervical cancers, as well as malignant ovarian germ-cell tumors, ovarian sex-cord stromal tumors, borderline tumors of the ovary, cervical intraepithelial neoplasia, human papillomavirus and gestational trophoblastic disease.

The ideal candidate experience in analyzing spatial biology datasets (proteomics, metabolomic and transcriptomics).

Salary range: Minimum $88,000.00 - Midpoint $110,000.00 - Maximum $132,000.00

*KEY RESPONSIBILITIES*

*1. Computational Analysis & Pipeline Development*

* Assist in the analysis, design and development of pipelines, algorithms and software for the analysis, exploration, and visualization of data generated using exome/whole genome sequencing, RNA-seq, ChIP-seq, ATAC-sequencing, chromatin conformation capture sequencing (e.g. Hi-C and similar methods) and spatial transcriptomics in a timely fashion.

* Apply statistical and machine learning techniques to derive insights from complex, high-dimensional datasets, including in-house and public data (e.g., TCGA, CCLE, GTEx, GEO).

* Run workflows for somatic mutation calling, copy number analysis, transcriptional profiling, clonality estimation, and mutational phylogeny inference on matched tumor/normal and longitudinal samples.

* Run workflows for protein and metabolites analyses and integrate these datasets with abovementioned transcriptomics profiles.

* Independently plan and adapt novel computational approaches to support evolving research needs and emerging experimental technologies in genomics, spatial, and single-cell omics.

*2. Workflow Development, Data Management & Reproducibility*

* With direction, develops and maintains bioinformatics tools and infrastructure using Python, R, Docker, Conda and other tools; create well-organized, reusable, and user-friendly workflows to support lab-wide analyses.

* Generate custom visualizations and perform downstream analyses including gene expression profiling, mutation analysis, gene set enrichment, pathway analysis, protein and metabolomic analyses.

* Ensure reproducibility and transparency by organizing data, documenting code, version-controlling pipelines, and maintaining clear scientific records in notebooks and shared repositories.

* Contribute to the implementation of robust data stewardship practices and help maintain a scalable, collaborative analysis environment leveraging high-performance computing (HPC) systems.

*3. Collaboration, Communication & Scientific Engagement*

* Collaborate with experimental biologists, wet lab members, data scientists, and cross-functional institutional teams to integrate omics data with biological and clinical datasets and harmonize metadata across studies.

* Assist with the preparation of manuscripts, figures, abstracts, grant proposals, and internal reports as well as for presentation at lab meetings, departmental reviews, and institutional events.

* Communicate complex analytical findings effectively to both technical and non-technical audiences through presentations, visual summaries, and written reports.

* Conduct literature reviews and stay current with emerging tools and trends in genomics, computational biology, and biomedical data science to inform pipeline development and project planning.

* Support mentoring and onboarding of students, fellows, and research personnel by contributing to training in computational methods and analytical workflows.

* Performs other duties as assigned.

*EDUCATION*

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

*EXPERIENCE*

*Experience Required: *Two years experience in scientific software or industry development/analysis.

*Experience Preferred: *Experience in analyzing spatial biology datasets (proteomics, metabolomic and transcriptomics).

The University of Texas MD Anderson Cancer Center offers excellent [benefits](https://www.utsystem.edu/offices/employee-benefits/insurance-0/eligibility), including medical, dental, [paid time off](https://www.mdanderson.org/about-md-anderson/employee-resources/leave.html), [retirement](https://www.utsystem.edu/offices/employee-benefits/ut-retirement-program/voluntary-retirement-programs), tuition benefits, educational opportunities, and individual and team recognition.

This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.

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

Additional Information

* Requisition ID: 178221

* Employment Status: Full-Time

* Employee Status: Regular

* Work Week: Days

* Minimum Salary: US Dollar (USD) 88,000

* Midpoint Salary: US Dollar (USD) 110,000

* Maximum Salary : US Dollar (USD) 132,000

* FLSA: exempt and not eligible for overtime pay

* Fund Type: Soft

* Work Location: Hybrid Onsite/Remote

* Pivotal Position: Yes

* Referral Bonus Available?: Yes

* Relocation Assistance Available?: Yes

\#LI-Hybrid