Computation is revolutionizing drug discovery. Advances in big chemical data,
massive computing power, artificial intelligence, and molecular dynamics simulation are
changing the way we develop new drugs. At 1910 Genetics, we put computation at the heart of
drug discovery, blending expertise in computational chemistry, structural biology,
pharmacology, genetics, data science, and software engineering to develop drugs for previously
undruggable targets. We're applying our platform to two indications initially – pain and aging-
related diseases, with the goal of expanding to all therapeutic areas.
We are hiring for the next session of our Data Science Fellowship Program. Fellows come to us
from top undergraduate, graduate, and postdoctoral programs, and become integral members of
our drug discovery and platform technology teams. Fellowships are typically for 3 – 6 months.
BS, MS, or Ph.D. in a quantitative discipline e.g. computer science, engineering,
statistics, mathematics, bioinformatics, computational chemistry, etc.
Degree holders in the life sciences (e.g. biology, medicinal chemistry, pharmacology,
genetics, etc.), who have strong computer science skills are also welcome.
Research or internship experience in a data science related project.
Strong programming skills in two or more of Python, R, Java, C++, etc.
Experience applying data science skills to drug discovery is a STRONG PLUS
Demonstrated skills in deep learning (e.g. CNNs and RNNs using Tensorflow, PyTorch,
Caffe, etc.), classical ML (e.g. basic statistics and non-neural network deep learning
models such as random forests and SVM), and data engineering
Publication history a plus
Low ego and collaborative team player
Fast learner and coachable; Creative problem solver; Good sense of humor
Exceptional professional development
Flexible work schedule