Research Fellowship Program - Summer 2022

The Research Fellowship program has been designed to help young researchers and students take advantage of the bioinformatics resources for analysis of complex life science data and become versed in bioinformatics. Research Fellows participate in cutting edge bioinformatics research led by expert mentors. The fellowship program will offer a combination of online resources and mentor guidance to prepare you and help you complete a bioinformatics project. Registration fees cover the costs of training, mentorship and big data T-BioInfo Server. The platform is a cloud-based analytical server used by research labs and independent scientists around the world. 

Register Here to enroll for the OmicsLogic Summer Research Fellowship Program

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Get ready through training

Quantified skills in -omics data processing, analysis and visualization.

Whether you are just getting started with bioinformatics or you already have a lot of experience, there is always something new to learn. Our asynchronous coursework will prepare you for any challenges you might face with data analysis and biological interpretation.

Topics we cover:

  • Introduction to Bioinformatics and the basics of data in life sciences
  • Omics data types like genomics, transcriptomics or metagenomics
  • Data science and machine learning for non-engineers and biologists
  • R and Python programming and in-depth analytics for complex omics data
Literature Review – 1

Find an impactful research topic

Learn to perform literature review and plan out your project.

Be ready to learn from experts and find gaps in current research, uncovering opportunities to contribute real value to the scientific community. Follow the latest comprehensive review articles and focus on controversy, open questions and limitation of the latest studies.

Remember:

  • Make your research question compelling to those already in the field
  • Set specific parameters to answer the research question conclusively
  • Find datasets that fit your objectives and explore them for batch effects or bias
  • Get feedback from our expert mentors on your topic and analysis proposal
Presenting Project

Present your analysis for expert feedback

Develop a complete project ready for expert review and feedback.

Once your project is prepared, it becomes the proof that you have understood the topic and analyzed data correctly. Expert feedback and peer review will identify gaps and omissions you can address before sharing the final results with the scientific community and the world.

Potential outcomes:

  • Expert feedback and overall evaluation of project quality, innovation and analysis execution
  • Poster presentation at the research fellowship meeting or research symposium
  • Path to collaboration with expert mentors or faculty at partner universities
  • Path to a full publication

                                      Our Collaborative Partners

LSU-GeneLab-BioMMED - OmicsLogic Training

Designed for LSU students, faculty and researchers to deal with growing amounts of high throughput data generated in life sciences.

Chandigarh Group of Colleges - OmicsLogic Training

Chandigarh Group of Colleges- Landran

Designed for CGC students to introduce them to the field of bioinformatics & data science and work with faculty's area of interest through internships and research fellowships.

Tulane University

Designed for Tulane University students, faculty and researchers for multi-omics, data science & structural biology training and research.

Amity University - Noida - OmicsLogic Training

Amity University- Noida

Designed for Amity for students & faculty to get training and apply their bioinformatics skills in research and industry projects as interns and research fellows with the company. 

NAIPI - OmicsLogic Training

Designed for IDeA State Universities students & faculty for Project Based Training Modules in Bioinformatics and Data Science. 

Amity University - Jaipur - OmicsLogic Training

Amity University- Jaipur

Designed for Amity for students & faculty to get training and apply their bioinformatics skills in research and industry projects as interns and research fellows with the company. 

 Meet the mentors:

Industry and Academic mentors with years of expertise in computational approaches for basic and translational research, biotechnology and pharma companies as well as emerging domains like space omics and translational cancer bioinformatics, infectious diseases vaccine research, computational neuroscience, AI driven cheminformatics & drug discovery.     

Prof. Pallu Reddana

FABA

Cancer research and therapeutics

Dr. Raghavendran

Postdoctoral fellow at SciWhy Lab, SC&IS, Jawaharlal NehruUniversity, Delhi

Mr. Elia Brodsky

Co-Founder and CEO, Pine Biotech

Co-Founder and CEO, Pine Biotech

Dr. Gepoliano Chaves

Bioinformatician

Department of Pediatrics, University of Chicago 

Dr. Mohit Mazumder

Business Development Head, Pine Biotech

PhD in Computational Biology

Dr. Sona Vasudevan

Professor, Georgetown University

PhD, Systems Medicine Education

Campus Ambassador Page –  logos

Get answers about the program structure and benefits

What is Omics Logic?

A Growing Community of Students, Experts and Mentors

Our community leverages publicly available data, online tools for big data analysis and a network of mentors to help students learn bioinformatics, apply their skills to meaningful research projects and work with mentors on turning their projects into publications or research posters. The programs we offer provide training, access to high quality tutorials and tools anyone can learn to use independently. The program is offered at university, high school or community college levels as well as directly to citizen scientists around the world.

The Omics Logic Advantage

Self-Paced Learning

Study at your own pace online completing modules designed for graduate and undergraduate levels

Project-based Curriculum

Don't just learn about bioinformatics, learn while working on research projects with real data

Hands on with Big Data

Go from practice to research in a matter of days by leveraging the cloud-based analytical platform

Expert Mentors

When you start learning, you are not on your own. The programs are supported by an expert team

US Summer programs for NAIPI LBRN.001
US Summer programs for NAIPI LBRN.009

Join the Upcoming Webinar to learn more about the training

A comprehensive overview of available modules, project examples, tools and skills covered in the Omics Logic Training Modules

As many options are available to offer asynchronous, synchronous and blended versions of the training modules, we recommend faculty and students to get in touch with our program coordinator to get more information.

After filling out the form on your right, you will be able to schedule a call with one of our representers to answer your questions about the training and find the right program for you and your organization.

Research Fellowship Program
Big Data Repositories-1
OmicsLogic Research Fellowship - Program Overview-1
Poster Presentation - Example

To learn and explore more about Research Project topics, visit:

RF Specialization Tracks-1

OmicsLogic offers high grade training and research tools for hands-on analysis for various research fields which includes analysis of Big Data belonging to Multi-Omics fields (Transcriptomics, Genomics, Epigenomics & Metagenomics), Infectious Diseases, Precision Medicine, Precision Oncology, Neuroscience, Space-Omics, Metabolic Disorders, Agri-Bioinformatics, Immunology, Cheminformatics etc. We aim to utilize Data Science techniques, programming languages (R/Python for Bioinformatics), Machine Learning methods, Bioinformatics tools & softwares and AI-based training platform i.e., the T-Bioinfo Platform, designed by Tauber Bioinformatics Research Center, Israel, for carrying out the analysis and interpretation. Below we have listed the areas of research for various fields that OmicsLogic Mentors are working on and are open for all to carry out independent or groups research projects and be able to go forward for a publication in the respective field.