Meet a Data Scientist: Rishabh Goel

Portrait of Rishabh Goel in a circular frame on a navy blue background with a berry and teal colored wavy shape on the bottom


Rishabh Goel earned a B.A. in Molecular and Cellular Biology and a B.S. in Business Administration with a minor in data science from the University of California, Berkeley, where he was the tutor for the Foundations of Data Science course and the Business Analytics Course. Rishabh was also one of three students selected to participate in the 3-Month Data Discovery Research Fellowship Program at Merck. During the fellowship, he used deep learning models called Neural-ODEs to predict drug absorption and drug build-up in the body. He was also a senior analyst at a life sciences consulting club called NextGen Consulting.

Upon graduating from Berkeley, Rishabh took up a summer research fellow position at the Dai Lab led by Dr. Mingjie Dai at Rice University where he contributed to the development of technology for deep and scalable single-cell analysis which has the potential to accelerate personalized medicine.

Current Role

Rishabh is a biomedical data scientist at GEn1E Lifesciences, which is a clinical-stage biotech startup that develops novel precision therapies for rare and inflammatory diseases. At GEn1E, Rishabh contributes to the development of the AI Platform of the company. His work involves analyzing large biological datasets, both clinical and molecular, to accelerate the development of drugs for diseases such as Acute Respiratory Distress Syndrome (ARDS). Rishabh works with R, Python, SQL, Java, Jupyter Notebook, Google Colab, GitHub, Hugging Face, Amazon Web Services (AWS), and Google Cloud Platform (GCP) to conduct his research. His long-term research interests lie in developing translational machine learning and bioinformatics methods that integrate molecular and clinical data for advancements in personalized medicine and clinical decision-making to address complex, multifaceted diseases.

Career Advice

For anyone interested in data science and just beginning their training, Rishabh recommends enrolling in courses and exploring topics that seem interesting. He highly recommends Coursera courses by Andrew Ng. For example, check out Ng’s Machine Learning collection. For folks interested in pursuing a career in biomedical data science, Rishabh said it’s very important to develop a strong understanding of biomedical data. He recommends exploring publicly available datasets such as those shared by Kaggle and Google’s Dataset Search. Rishabh also emphasized the importance of pursuing projects to gain hands-on experience. These projects can also be added to a portfolio that can be shared with potential employers and collaborators.

For folks who are searching for a job in the biomedical field, Rishabh recommends opening your search to include startups because they are a great way to quickly gain experience and progress your career.

Outside of Work

When Rishabh isn’t working on developing drugs for devastating diseases, he’s probably reading books on business. A recent book that he read and recommends is Blitzscaling: The Lightning-Fast Path to Building Massively Valuable Companies by Reid Hoffman and Chris Yeh. He also enjoys listening to music and watching comedy TV shows such as his recent favorite Silicon Valley.

How to Connect

Learn more about Rishabh and how to get in touch by visiting his profile in the CDN Member Directory.

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