Summer 2021: Explanation of Project Levels/ How do I pick a level?

How do I pick a level in the application form?

Head over to Pathway Hubs where we have mentor led pre-internship training for all Level 1 Projects.

  • Material is totally new to you? Pick level 1. And complete the training so that you are ready for summer!

  • Material is somewhat familiar to you? You may pick levels 2 or 3 and complete the training for portions that are new to you.

In addition to the material in the Pathway Hubs, you can also take a quick readiness assessment below.

We encourage students to push their boundaries. Choose a level based on your strengths, interests and the amount of pre-internship training that you are willing to do.

For a full list of projects, check Summer 2021: Virtual-Internship Projects.




Level 1 Projects: Master the How

Solve concrete problems and work on all aspects of a project. Open to all students. Applicants must have completed relevant introductory coursework or may build up the basic skills required through our Pathway Hubs.




Level 2 Projects: Master the Why & How

Expand upon concepts, techniques, and technology used in Level 1. Communicate difficult concepts and analyses in realistic settings. Applicants must have completed intermediate coursework or have practical experience in their desired pathway.




Level 3 Projects: Understand Why & Create New How

Take it a new level with a multi-disciplinary project. We have one Level 3 Project in Summer 2021. Applicants must have intermediate experience in Bioinformatics, Machine Learning, and/or AWS through advanced coursework or practical experience.




Summer 2021 Application Sitemap

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Full Stack

Here is an excellent set of skills related questions from Bijay Maharjan (@bmaharjan), STEM-Away Mentor, Full Stack Pathway. These questions are used in the application form.

Most answers are of the format: [No familiarity, Basic knowledge, Some experience, Practical Application ]

No familiarity - You have no prior exposure.
Basic knowledge - You have an understanding of basic techniques and concepts.
Some experience - You have the level of experience gained in a classroom. You still need help when performing this skill.
Practical application - You are able to successfully complete tasks on your own. Help from an expert may be required from time to time.

In the application form, a level is recommended based on the total score from all the questions. You can push yourself to try Level 2 if you have basic knowledge of the backend related skills or have overall experience in the different skill categories.

Please note that the final decision is yours. You may choose a level based on your strengths, interests and the amount of pre-internship training that you are willing to do.

Frontend related Skills:

  1. Familiarity with styling using HTML, CSS, and SASS.

  2. Familiarity with JavaScript.

  3. Worked with Handlebars or any other templating engine.

Backend related skills:

  1. Familiarity with Ruby on Rails.

  2. Familiarity with the consumption of API endpoints.

Debugging skills:

  1. Familiarity with debugging using Chrome Inspect Tools or any other debugging tools.

Version Control skills:

  1. Familiarity with version control systems like Git or SVN.

Other concepts related skills:

  1. Familiarity with Discourse Forum Platform.

  2. Familiarity with MVC(Model View Controller) design pattern.

Additional questions:

  1. Worked with any of these frontend frameworks/libraries: React, Angular, Vue, Ember.js, Other

  2. Any frameworks/libraries that you would like to learn to build a full-stack application.

Bioinformatics

Another excellent set of skills related questions. These are from Anya Greenburg (@anya) , STEM-Away Mentor, Bioinformatics Pathway. These questions are used in the application form.

Most answers are of the format: [No familiarity, Basic knowledge, Some experience, Practical Application ]

No familiarity - You have no prior exposure.
Basic knowledge - You have an understanding of basic techniques and concepts.
Some experience - You have the level of experience gained in a classroom. You still need help when performing this skill.
Practical application - You are able to successfully complete tasks on your own. Help from an expert may be required from time to time.

In the application form, a level is recommended based on the total score from all the questions. If you have a strong biology background or are very comfortable with programming, you can try the higher project levels.

Please note that the final decision is yours. You may choose a level based on your strengths, interests and the amount of pre-internship training that you are willing to do.

Coding/Programming Related Skills:

  1. Familiarity with R/RStudio.

  2. Familiarity with Git/GitHub.

  3. Experience in data visualization (ex. PCA, heatmaps, volcano plots, other non-standard plots, etc.)

Biology and Bioinformatics Related Skills:

  1. Highest education in biology and genomic concepts.

  2. Experience in disease research.

  3. Familiarity with gene ontology.

  4. Familiarity with gene set enrichment analysis (GSEA).

Tool Related Skills:

  1. GEO database (Gene Expression Omnibus)

  2. STRING-db

  3. Enrichr

  4. DAVID

  5. Metascape

  6. GEPIA

Machine Learning

Another excellent set of skills related questions. These are from Sara EL-ATEIF (@Sara_EL-ATEIF ) , STEM-Away Mentor, Machine Learning Pathway. These questions are used in the application form.

Most answers are of the format: [No familiarity, Basic knowledge, Some experience, Practical Application ]

No familiarity - You have no prior exposure.
Basic knowledge - You have an understanding of basic techniques and concepts.
Some experience - You have the level of experience gained in a classroom. You still need help when performing this skill.
Practical application - You are able to successfully complete tasks on your own. Help from an expert may be required from time to time.

In the application form, a level is recommended based on the total score from all the questions. Please note that the final decision is yours. You may choose a level based on your strengths, interests and the amount of pre-internship training that you are willing to do.

Coding/Programming Related Skills:

  1. Familiarity with Python.

  2. Familiarity with Git/GitHub.

  3. Experience with Machine learning concepts (ex. PCA, Linear Regression, SVM, Ensemble Methods, etc)

Natural Language Processing (NLP) Related Skills:

  1. Experience with embeddings.

  2. Experience with transformers.

  3. Experience with models like BERT, LSTM etc

  4. Familiarity with clustering and unsupervised algorithms.

Tool Related Skills:

  1. Colab

  2. Jupyter Notebooks (Jupyter lab)

  3. Conda

  4. Sklearn

  5. HuggingFace library

  6. Pytorch/TensorFlow

  7. Flask/Streamlit