Data Scientist I, Bioinformatics

Key Skills

Aartificial intelligence, Algorithms, Analytical and Problem solving, AWS, Bioinformatics, Biomedical Imaging, CNNs, Data science techniques, Data Visualization, Deep Learning, Google Cloud Platform (GCP), Machine learning techniques, NumPy, Pandas, Python Programming, PyTorch, Scikit-learn, seaborn, TensorFlow

Job Description

The Bioinformatics department has an opening for a Data Scientist I. This role will employ a highly skilled data scientist with expertise in developing machine learning models to curate and analyze large, multi-modal datasets generated by the SimCenter at UT Southwestern Medical School. Experience with using machine learning for analyses of video-based data sets is a plus. They will work closely with our software and AI engineers to ensure that the models are integrated into actionable user interfaces.

Job Duties

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

Responsibilities:

• Clean, organize, and analyze large, multi-model data sets
• Build, train, test, and evaluate machine learning models on our proprietary data sets
• Understand and implement the latest video-based machine learning models
• Continuously improve the performance of the models by analyzing results and experimenting with different techniques
• Collaboratively ensure the models are integrated into the user interfaces.

Experience and Education

M.S. in Computer Science, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics, Electrical Engineering, or related field OR B.S. with demonstrated experience in broadly defined areas of bioinformatics.

0 – 2 years post-graduation experience in data analysis and/or scientific software development.

Technical Skills/Specifications:

• Strong experience with Python and related data science libraries such as Pandas, Numpy, Scikit-learn.
• Strong experience with machine learning frameworks such as Tensorflow or PyTorch.
• Experience with video analysis with machine learning, specifically with CNNs and other deep learning models.
• Experience with data visualization tools such as Matplotlib or Seaborn.
• Strong understanding of data science and machine learning principles and best practices.
• Experience with cloud platforms such as AWS or GCP.
• Strong debugging and problem-solving skills.

Why UT Southwestern?

With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. At UT Southwestern, we invest in you with opportunities for career growth and development that align with your future goals and help to provide security for you and your family. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more that are all available on the day you start work. UT Southwestern is honored to be a Veteran Friendly work environment that is home to approximately 800 veterans. We value your integrity, dedication, and the commitment you’ve made to our country. We’re proud to support your next mission. Ranked by Forbes as one of the Top 10 National Employers, we invite you to be a part of the UT Southwestern team where you’ll discover teamwork, professionalism, and consistent opportunities for growth.

This position is security-sensitive and subject to Texas Education Code §51.215, which authorizes UT Southwestern to obtain criminal history record information. UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. To learn more, please visit: https://jobs.utsouthwestern.edu/why-work-here/diversity-inclusion