Skills

Python

pandas, numpy, scikit-learn, seaborn, beautifulsoup, sqlalchemy, PyCharm

Molecular Biology, Biochemistry

cloning, CRISPR, plasmid customization

Data Science & Machine Learning

data cleaning, web scraping, prediction and classification models, cross-validation

Data Tools

PyCharm, Git, Jupyter, R Shiny

Cell Biology

cell culture, cell-based assays, lentiviral transduction, shRNA & overexpression

Oncology

flow cytometry, primary bone marrow cell culture & assays, mouse leukemia models

Projects

I’m currently working on a portfolio of Python data science projects! You can check out my projects showcase here.

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Experience

 
 
 
 
 

Scientist II, Discovery Biology

MOMA Therapeutics

Feb 2022 – Present Boston, MA
 
 
 
 
 

Scientist I, Translational Biology

Constellation Pharmaceuticals

Apr 2021 – Feb 2022 Boston, MA
 
 
 
 
 

Insight Health Data Science Fellow

Insight Data Science

Jan 2020 – Mar 2020 Boston, MA
An intensive data science program for Ph.Ds transitioning to careers in industry! For my Insight project, I developed an app that uses machine learning on real-world data to help doctors predict medication adherence.
 
 
 
 
 

Postdoctoral Researcher

Wilmot Cancer Center

Dec 2018 – Present Rochester, NY
Research on epigenetic mechanisms driving breast cancer

Research

Page through to view my PhD thesis!

Accomplish­ments

Drug Discovery

Learned the major aspects of the drug discovery process, starting with target selection, to compound screening to designing lead candidates
See certificate

Awarded NCI F31 Kirschstein-NRSA Predoctoral Fellowship

Hobbies

Tea Enthusiast

black, green, white, all the colors!

Indoor Gardener

oregano, basil, rosemary, thyme

Kitchen Scientist

optimizing cooking protocols, one day at a time

Traveler

Spain, Japan, Ireland, France

Contact

  • mcglynnkell@gmail.com