Associate Data Scientist - Lymphoma Myeloma

Associate Data Scientist - Lymphoma-Myeloma - Research

The Associate Data Scientist position is based within the Lymphoma-Myeloma Research department at The University of Texas MD Anderson Cancer Center, supporting translational research efforts focused on hematologic malignancies. This department conducts high-impact laboratory and computational studies aimed at improving understanding, diagnosis, and treatment of lymphoma and myeloma through advanced data-driven approaches. The Associate Data Scientist plays a critical role in enabling investigators to derive meaningful insights from complex sequencing datasets.

The University of Texas MD Anderson Cancer Center is a leading institution focused on cancer care, research, education, and prevention. Within UT MD Anderson, the Associate Data Scientist contributes to the Cancer Medicine Division by applying computational and analytical expertise to large-scale genomic data. The Associate Data Scientist works closely with faculty, laboratory teams, and trainees to ensure high-quality data analysis that advances scientific discovery and supports the mission to eliminate cancer.

Ideal Candidate

The ideal candidate for the Associate Data Scientist role has a strong foundation in data science or computational biology, experience working with large and complex biological datasets, and the ability to operate independently in a research-focused environment; education, experience, and any licenses or certifications align with the analytical, computational, and collaborative demands of next-generation sequencing research.

Position Information - Salary range: Minimum $42.31 - Midpoint $52.88 - Maximum $63.46 per hour, based on a 40-hour work week. The typical work schedule is day shift, Monday - Friday and the work location is Onsite

Why Us?

This role offers the opportunity to directly support cutting-edge cancer research while building advanced technical and analytical skills in a highly collaborative academic environment. As an Associate Data Scientist at UT MD Anderson, you will contribute to meaningful scientific discoveries, gain exposure to high-impact publications and grant activity, and grow professionally while supporting a mission-driven organization committed to excellence in research and patient outcomes.

• Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance.
• Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.
• Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.
• Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.

Responsibilities

Data Curation & Management

• Curate, organize, and maintain high-quality next-generation sequencing datasets with accurate annotation and data integrity
• Ensure long-term accessibility and proper stewardship of sequencing data

Computational Pipeline Development

• Design, develop, and maintain scalable and reproducible pipelines for next-generation sequencing analysis
• Evaluate, test, and implement computational tools and workflows in high-performance computing environments
• Optimize pipeline performance for large-scale genomic datasets

Data Analysis & Troubleshooting

• Identify, troubleshoot, and resolve technical and analytical issues related to sequencing data processing
• Support downstream analyses for scRNA-seq, WES, and WGS datasets
• Contribute to the development and evaluation of algorithms and computational methods

Collaboration & Scientific Support

• Collaborate with laboratory members and investigators to interpret and visualize sequencing data
• Support the presentation of analytical results for manuscripts, presentations, and meetings
• Foster a team-oriented research environment through active engagement with multidisciplinary partners

Training & Process Improvement

• Contribute to training graduate students and postdoctoral fellows in analytical techniques
• Participate in establishing best practices and standard operating procedures
• Provide recommendations for process improvements and innovative analytical approaches

EDUCATION

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

WORK EXPERIENCE

• Required: 2 years Scientific software or industry development/analysis.

The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, 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

Additional Information

• Requisition ID: 180873
• Employment Status: Full-Time
• Employee Status: Regular
• Work Week: Days, Varied
• 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: Onsite
• Pivotal Position: Yes
• Referral Bonus Available?: No
• Relocation Assistance Available?: Yes

#LI-Onsite

Apply