Research Assistant II – Genomic Medicine

Job Description:
The primary purpose of the Research Assistant II is to provide technical and coordination skills in carrying out various research projects.

Ideal candidate will have a strong computational background, proficiency in at least one programming language (e.g. R, Perl, Python, Java, C++) and knowledge of statistics are required. Training experience in machine learning, deep learning and experience working in high-performance computing cluster environment is highly preferred.

The mission of The University of Texas M. D. Anderson Cancer Center is to eliminate cancer in Texas, the nation, and the world through outstanding programs that integrate patient care, research and prevention, and through education for undergraduate and graduate students, trainees, professionals, employees and the public.

Key Functions:

• Build automated bioinformatics pipelines for processing and downstream analysis of NGS and single cell sequencing data; test, fine tune the pipeline parameters and optimize the bioinformatics flow.
• Build computational frameworks for high-dimensional data integration.
• Conduct integrative analysis of multi-platform data for novel biomarker discovery, interpret and report the results.
• Build predictive models to predict the response probability to clinical management, clinical outcomes, the relapse risks, the onset and severity of treatment-related toxicities, etc.
• Reads literature and confers with supervisor regarding new perspectives.
• Help with results interpretation, presentation, and publication.
• Work with other lab members and collaborators on various projects.

Required: Bachelor's degree with major course works in one of the basic sciences.

Preferred: Master’s degree with major course work in bioinformatics, computational biology, biostatistics or a related field. Experience

Required:Two years experience in scientific or experimental research work. No experience required with preferred degree.

Preferred: Strong computational background, proficiency in at least one programming language (e.g. R, Perl, Python, Java, C++) and knowledge of statistics.

Working Conditions

This position requires :Yes No

Working in Office Environment: X

Working in Patient Care Unit (e.g. Nursing unit; outpatient clinic):X

Exposure to human/animal blood, body fluids, or tissues: X

Exposure to harmful chemicals: X

Exposure to radiation: X

Exposure to animals: X

Physical Demands

Indicate the time required to do each of the following physical demands:

Time Spent

Never 0%

Occasionally 1-33%

Frequently 34-66%

Continuously 67-100%

Standing: X

Walking: X

Sitting: X

Reaching: X

Lifting/Carrying:

Up to 10 lbs:X

10lbs to 50 lbs: X

More than 50 lbs: X

Pushing/Pulling

Up to 10 lbs: X

10lbs to 50 lbs: X

More than 50 lbs: X

Use computer/keyboard: X

Requeriments :

• Technical Bachelor

Skills :

• HPC
• Machine Learning
• Programing in C++
• Programing in Python
• Programing Skills
• Programming in Java
• Programming in PERL
• Programming in R
• Statistics

Areas :

• Bioinformatics

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