Biomedical Data Scientist II: Clinical Research

University of Texas Southwestern Medical Center; Dallas (TX); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Healthcare

PTO

Paid holidays

On-site childcare

Tuition Reimbursement

PSLF Qualified Employer

Job summary

UT Southwestern Medical Center in Dallas seeks a software analyst to develop algorithms and tools for biomedical research. You will work on data acquisition, management, and analysis across basic, translational, and clinical projects, collaborating with bioinformatics specialists.

Responsibilities include developing formalisms, maintaining software infrastructure, and guiding users in computational problem solving within a team environment.

Qualifications

• Master's degree in Computer Science, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics, Electrical Engineering, or related field.
• Bachelor's degree with demonstrated experience in broadly defined areas of bioinformatics.
• 2 years post-graduation data analysis or scientific software development for a Masters degree; 4 years for a Bachelors degree.

Responsibilities

• Analyzes and develops formalisms, algorithms and software for applications in biomedical research.
• Develops and maintains software tools and infrastructure for resolving specific problems.
• Performs the development, testing and revision of programs in a team with diverse bioinformatics expertise.
• Advises and assists users and other personnel in analyzing, defining and resolving computational problems.
• Performs other duties as assigned.

Skills

Strong writing

Data analysis

Communication with clinicians

Leadership

Team coordination

Education

Master's degree in CS/Bioinformatics/related

Bachelor's degree with bioinformatics experience

Job description

UT Southwestern Medical Center in Dallas seeks a software analyst to develop algorithms and tools for biomedical research. You will work on data acquisition, management, and analysis across basic, translational, and clinical projects, collaborating with bioinformatics specialists.

Responsibilities include developing formalisms, maintaining software infrastructure, and guiding users in computational problem solving within a team environment.