I’m currently partnered with an exciting AI-driven biotech start-up based in New York City who is focused on therapeutic development for diseases caused by errors in RNA splicing. They have developed their own novel platform for drug discovery that applies AI and HPC to find hidden cures at extreme speeds. They’re around 30 people in total, and they have already established some major partnerships with large biopharma companies.
They are looking for a Senior Data Scientist with a deep experience working with Machine Learning models and packages, PyTorch and TensorFlow being two major ones. You wouldn’t be a Bioinformatician / Cheminformatician, but you should have exposure to some sort of biopharma environment or drug discovery setting. You will be reporting to the Co-founder and CTO of the company and work closely alongside their prestigious team of Computational Scientists and Data Scientists.
In this role, the main responsibilities will be:
Utilize and apply next-generation computational methods, such as structural / physical modeling, ML, and data science approaches to help advance internal drug discovery programs across various modalities.
Expand internal ML capability, capacity, and applications.
In order to succeed in this role, you should possess:
Advanced degree in statistics, computer science, data science, computational biology, or closely related field.
4+ years of experience following graduation and exposure to industry setting (working with life sciences informatics).
Strong ability in a programming language (Python or R) and SQL.
Expertise in ML libraries (SKLearn or Caret) and ML platforms (PyTorch or TensorFlow).
Experience with statistical analysis or bioinformatics/genomics tools (GATK, BEDtools, VCFtools, STAR aligner, DEseq) and databases is highly desirable.
Management experience is highly desirable.
If you think you would be a good fit, please apply or reach out to me directly at firstname.lastname@example.org.