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Position: Genomics/Bioinformatics Intern
Institution: Laboratory Corporation of America Holdings
Location: San Diego, California, United States
Duties: Provides opportunity for the student to learn processing and analyzing large datasets from sequencing high-throughput instrument; Student will learn the concepts of deep learning; Student gets an exposure to a practical use of dimensional reduction and feature selection in predictive modeling; This project provides an opportunity for the student to have hands experience on training machine learning methods using high dimensional data in an unbalance population
Requirements: Working on a Bachelor's Degree, and or professional certification; Enrolled in a graduate program in computer science, applied math, bioinformatics, or related programs; Course work and research activities in Machine Learning; Course work and research activities in statistical modeling; Experience in programming in R and Python; Graduate level knowledge in algorithms; Familiarity with Linux operating system
   
Text: Genomics / Bioinformatics Intern at Labcorp Skip to site navigation Skip to main content LABCORP Site Navigation Why Labcorp Career Areas Cytotechnology Phlebotomy Information Technology University Diversity & Inclusion Talent Community Improving Health, Improving Lives Search Our Jobs Keyword Search City, State, or Zip Radius Search by Category Search by Location Job Matching Already Registered? COVID-19 UPDATE The health and safety of our employees, candidates and community members is very important to us. Due to the current coronavirus (COVID-19) outbreak, we’re leveraging phone and video conferencing for the vast majority of our interviews to ensure we can continue to recruit exceptional people to further our mission to improve health and improve lives. If you have any questions about our remote-based interviewing process, our Global Talent Advisors are ready to virtually assist you. Genomics / Bioinformatics Intern Apply Now Location San Diego, California Job ID 21-95053 Brief description of the intern's project: Utilizing Deep Learning in Position Specific Modeling in Somatic Mutation Detection for Low Frequency Mutations How is this project meaningful to the students education: Provides opportunity for the student to learn processing and analyzing large datasets from sequencing high-throughput instrument. Student will learn the concepts of deep learning Student gets an exposure to a practical use of dimensional reduction and feature selection in predictive modeling This project provides an opportunity for the student to have hands experience on training machine learning methods using high dimensional data in an unbalance population How is this project valuable to the organization Liquid Biopsy: Internal studies and peer reviewed publications have shown that technical and biological noise is loci dependent. Such behavior may be attributed to multitude of factors including sequencing context, evolutionary conservation aspects, epigenetics make up, process complexity, etc.. Learning and modeling the position specific noise in DNA/RNA sequencing is key in keeping the PPV under control for somatic mutation detection for a highly sensitive test, which shall benefit and array of products that involves NGS including Liquid Biopsy ( for cancer monitoring or companion diagnostics) , tissue profiling, or tumor burden estimation. Better PPV leads to less number of unnecessary orthogonal confirmations and manual curations which is conducive to an overall lower cost for the test. Hence making the test more accessible to community oncologists and more appealing to CROs. List project deliverables you will ask of an intern (what are their goals): Survey of Deep learning tools available with pros and cons, Bringing one or more public tools in house. Educate the team through one or more seminar about the deep learning concept with practical examples (use internal or publicly available datasets) for CNV detections, and modeling the noise during SNV detection. Requirements Working on a Bachelor's Degree, and or professional certification. Key competencies, skill sets and attributes needed for this scope of work: Enrolled in a graduate program in computer science, applied math, bioinformatics, or related programs. Course work and research activities in Machine Learning, Course work and research activities in statistical modeling Experience in programming in R and Python Graduate level knowledge in algorithms Familiarity with Linux operating system Shift 1 Schedule Monday through Friday, 8-5 Apply Now Cytotechnologist Help contribute to health care decisions nationwide. Learn More Equality Among Employees Recognized as Best Place to Work for LGBTQ Equality for Second Year Learn More Jobs Near You Genomics / Bioinformatics Intern San Diego, California Share Facebook (Opens in new tab) Twitter (Opens in new tab) LinkedIn (Opens in new tab) Email (Opens in new tab) Location Check out where you could be working if you apply. View Map Explore More Scientists in a lab Military See how your skills can connect to an amazing career opportunity. Learn More Scientists discussing results Inclusion and Diversity Harnessing diversity for competitive advantage. Learn More Scientists discussing results University Join Labcorp as an intern and do work that makes a difference. Learn More Scientist using microscope Application FAQs What you need to know about applying at Labcorp. 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