What are the responsibilities and job description for the Senior Machine Learning Scientist position at VidaVinci, Inc.?
We are seeking a highly motivated Machine Learning Scientist to join our growing company. The ideal candidate will have hands-on experience with machine learning for molecules (either small molecules or larger biomolecules) using both established cheminformatic representations/models and newer deep learning approaches. This is an onsite hybrid role located in Watertown, MA.
Job Responsibilities
- Build data processing and curation pipelines for experimental data.
- Design, build, train, and evaluate machine learning models on molecules for molecular generation and a variety of properties, including binding affinity and pharmacokinetic properties. Model architectures will include well-established models like Random Forests, Support Vector Machines, or Gaussian Process using fingerprint representations as well as neural network models such as graph convolutional neural networks and transformer-based language models.
- Use trained models for virtual screening and/or generative models to select promising molecules for our programs.
- Expertly use and modify de novo molecule generation systems, such as BoltzGen or Bindcraft.
- Collaborate closely with experimental scientists and other stakeholders to deliver effective models and predictions.
- Stay abreast of emerging research in machine learning for molecules.
Job Requirements
- B.S. in computer science with 6 years of industry experience or Ph.D. in computer science, chemistry, mathematics, or related discipline with 4 years of pharma / biotech industry or directly relevant post-graduate academic experience.
- Hands-on experience with a variety of models for molecules.
- Experience working with at least one cheminformatics software package such as RDKit or OpenEye.
- Hands on experience with at least one deep learning package such as PyTorch or Tensorflow.
- Skilled in Python programming.
- Excellent communication and interpersonal skills.
- Strong analytical and critical thinking skills, both scientifically and in the ability to prioritize tasks, set deadlines, and adapt to shifting priorities.