Computational Biologist , Internal Medicine

Job Description - Computational Biologist I, Internal Medicine (933283)

Job Description

Computational Biologist I, Internal Medicine - (933283)

With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the number 1 hospital in Dallas-Fort Worth according to U.S. News & World Report, we invest in you with opportunities for career growth and development to align with your future goals.

Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more. We invite you to be a part of the UT Southwestern team where you'll discover a culture of teamwork, professionalism, and a rewarding career!

Perform professional work in support of scientific research using technical knowledge of software, software development, networking, and/or hardware in a complex computing environment. Subject matter expert in multiple areas of computing technology, and specific knowledge of molecular biology and genetics. Works collaboratively with Principal Investigator (“PI”) to determine the most suitable computational methods and tools to analyze large-scale biological data sets.

Prepare reports for presentation or publication. Responsible for assisting PI in meeting the system needs for multiple research projects and/or labs.

The University of Texas Southwestern Medical Center is a world class biomedical research institution. Based in the Division of Cardiology, our research group focuses on understanding the development of heart failure using cardiac imaging and translational —omics technologies. You would be part of a dynamic, diverse, international team applying the latest methodologies in high-dimensional data analysis and statistical learning to quantitative cardiac imaging, high throughput proteomics, and clinical outcomes.

The objective of our work is to uncover novel insights into heart failure pathobiology, and ultimately inform approaches to prevent and treat this common and life-threatening condition.

• Hold a graduate degree in computational biology, bioinformatics, biostatistics, data science, computer science or a related quantitative field and have a strong background at the interface of molecular biology, computation, and clinical research.
• Have strong research design and analytical skills, and a passion for translational medical research.
• Be intellectually curious and motivated to go beyond routine analyses by helping generate new ideas. An independent thinker who is self‑motivated, but can still collaborate with ease.
• Be highly organized, have precise attention to detail, and demonstrate professionalism and respect for subjects’ rights.
• Have excellent time management and organizational skills, with the ability to multitask and assign priorities in a busy environment.
• Have excellent interpersonal and collaborative skills for working with a diverse study team.
• Have excellent English oral and written communication skills.
• Have knowledge of clinical research principles, with strong research design skills, analytical skills, and database statistical skills.
• Have experience and knowledge of computational principles. Proficiency with Python and/or R is strongly preferred.
• Have experience with statistical modeling and machine learning in biomedical data analysis would be a plus.

Functioning very independently and under the general direction of principal investigator, this individual performs high level, complex research activities. The computational biologist should have experience in molecular biology, bioinformatics, and computer science and be highly motivated and able to learn new analytical skills. This individual will work collaboratively with clinical investigators, biostatisticians, and epidemiologists. This individual may also contribute to scientific literature, reports, journals and presentations.

There will be as‑needed training…