Uresearcher

With each strong step of a woman, we have a giant leap for humankind. From Rosalind Franklin to Jennifer Doudna and the current generation of researchers, women scientists have changed our way of life.
Here’s hoping that we at Uresearcher can do our bit to create the next generation of STEM researchers, determined to make the world a better place.

14 current jobs openings in cheminformatics and chemical data science. Link in the first comment.

Wondered how machine models are built for small-molecules drug discovery? Learn from this free self-paced lecture. It teaches how to build your own machine learning-based models to classify and predict the biological activities of small molecules.

Build Machine Learning-based Bioactivity Predictor Build machine learning-based bioactivity predictor for inhibitors discovery. Build machine learning-based virtual screening tools.

Here is a curated list of top jobs openings in chemoinformatics and chemical data science in February 2022.

Top Jobs Openings in Cheminformatics and Chemical Data Science Curated top jobs opening in chemoinformatics and chemical data science in February 2022.

Machine Learning for Drug Discovery Course: This online certification course teaches the end-to-end implementation of classical machine learning algorithms for different drug discovery applications. It starts by covering the fundamental concepts in cheminformatics and progresses to advanced concepts in handling biases in chemical data and performing data analytics.

What skills will you gain? 💻
1. Expertise in core pandas
2. Pandas data structures
3. Numerical data analysis
4. Molecular data analysis
5. Molecular data handling
6. Molecular feature engineering
7. Chemical clustering methods
8. Build machine learning models
9. Handle chemical data biases
10. Validation partitioning
11. Cross-validation
12. Classical machine learning models
15. Hyperparameter optimization

What project will you build? 👩‍🔬👨‍🔬
1. Exploratory Analysis of Molecular Data
2. Build Machine Learning-based Bioactivity Predictor
3. Handle Chemical Data Biases for Machine Learning
4. Chemical Diversity Set Selection with Python
5. Build Drug-induced Liver Injury (DILI) Predictor [Machine Learning]
6. Build Aqueous Solubility Predictor [Machine Learning]
7. Machine Learning-Based Protein-Ligand Binding Affinity Prediction

Machine Learning for Drug Discovery Instructor-based, Online. Learn machine learning for drug discovery (online certification course). Build your own machine learning-based applications and apply for exciting career opportunities in the drug discovery industry.

2021 was a year of many breakthroughs for artificial intelligence (AI) in drug discovery. Check out our compilation on breakthroughs and trends in in drug discovery

AI in Drug Discovery: 2021 Breakthroughs and Trends 2021 was a year of many breakthroughs for artificial intelligence in drug discovery. This article summarizes the achievements of AI in drug discovery in 2021 and previews the next steps for 2022.

Check out these 5 machine learning jobs in drug discovery that Uresearcher curated for you! 💻💼🧪
https://uresearcher.com/article/top-machine-learning-jobs-drug-discovery

Top Machine Learning Jobs in Drug Discovery Check out these top machine learning jobs in drug discovery that Uresearcher curated for you!

ChEMBL is an open database with over 18 million bioactivity measurements. It manually curates bioactivity data that is typically published in an unstructured, often unsearchable format.

ChEMBL makes data collection for machine learning less labor-intensive, but do you know how to handle this tool through an API? 🤔

The benefit of using the ChEMBL API in Python is the possibility to manipulate data with libraries like , , and , gain insights, and build machine learning models.

If you don't know how to use this tool, check out this tutorial for beginners.

Here are the topics covered in the article:

🧬 How to install the ChEMBL API on Colab
🎯 To perform a biological target search
💡 A Data Exploratory example

How to get started on ChEMBL Database How to get started on ChEMBL Database. In this tutorial: how to install the ChEMBL API on Colab, perform a target search and a data exploratory example.

Python for Drug Discovery: instructor-led certification course that teaches the concepts of Python and its application in drug discovery.

The Python programming language is at the forefront of modern drug discovery. Python is essential for career development, as most job opportunities in the field of computer-aided drug discovery require Python skills.

What skills will you gain? 💻

1. Expertise in core Python
2. Python Data Types
3. Python Libraries
4. Handling Files
5. Python Functions
6. Handle molecules
7. Advanced molecular visualizations
8. Molecular data handling
9. Molecular clustering
10. Molecular features (ML/AI)

When the next cohort start? ⏰

Saturday, January 15th, 3 p.m UTC

What is the program duration? ⌛

5 Weeks (2.5 hr, Sat & Sun)

What project will you build? 👩‍🔬👨‍🔬

1. Chemical Diversity Set Selection with Python
2. Data Fusion Methods in Virtual Screening

Who is the instructor? ✨

Thiliban Manivarma

Doctoral scholar at the Nicolaus Copernicus University, Poland. His current research is extensively focused on the application of the Python programming language for computational drug discovery including analyzing protein hot spots, modeling, and machine learning.

If you want to build a robust career in data-driven drug discovery, this course is for you! 💊‎‍🔬

https://uresearcher.com/course/learn-python-drug-discovery-certification-course

Python for Drug Discovery Looking for the next step in your drug discovery career? Learn python for drug discovery. Python is the mandatory skill set required in the modern and rapidly growing data-driven drug discovery industry.

Learning comes in all shapes and sizes and at any age. We can see this with Vertika. 👩‍🔬

It’s amazing to see such motivating words from our students who attended the hands-on sessions Machine Learning for Drug Discovery.

We hope Vertika's words will reach those who need a little push to learn something new even after Ph.D. ✨

Thanks Vertika for your review!

If you, as Vertika, want to learn about Machine Learning for Drug Discovery, join us at Uresearcher today!

https://uresearcher.com/

Uresearcher is a newly-launched research education company. Prior to the launch, it has already been reaching 10,000+ researchers in 102 countries through our scientific communities, supporting them in advancing their research and careers. Now we are scaling the impact through a new platform by making cutting-edge and advanced research education accessible to anyone from any part of the world, not limited by national boundaries.

As a Human Resources Manager, you will play a fundamental role in supporting our growing Human Resources and Administration needs.

As a first employee in the HR team, you will have an added responsibility in setting up the company’s human resources policies. More details at:

https://bit.ly/3mROad9

Uresearcher is a newly-launched research education company. Prior to the launch, it has already been reaching 10,000+ researchers in 102 countries through our scientific communities (e.g.: https://www.facebook.com/groups/Bioinformatics.group), supporting them in advancing their research and careers. Now we are scaling the impact through this platform by making cutting-edge and advanced research education accessible to anyone from any part of the world, not limited by national boundaries.

Currently, we are on an audacious mission to teach fifty million people the skills and tools to do research that matters, while building rewarding careers and improving lives.

As an inside sales representative, you will play a fundamental role in achieving our ambitious student acquisition mission and support us in meeting revenue growth objectives.