Machine Learning Scientist

TandemAI is an advanced technology company dedicated to reinventing drug discovery infrastructure. We integrate proprietary AI-driven, high-performance computation with its efficient, large-scale in-house wet lab operations to deliver a turnkey drug discovery solution.

About the Role

TandemAI is seeking a Senior/Principal Machine Learning Scientist who will help leverage machine learning and artificial intelligence technologies to revolutionize the field of drug discovery. You will drive the research and development of innovative machine learning models for structure-based drug design, integrate machine learning methodologies into our computational infrastructures, and apply them to the rational design of therapeutics. With this unique opportunity to work closely with a multidisciplinary team to advance ML/AI technologies at the core of computer-aided drug design from the ground up, you will grow your technical and leadership skills, and play a key role in delivering an innovative platform that will advance scientific research and discovery.

You have:

• PhD in Computational Chemistry, Cheminformatics, Computer Science or a related technical field with 5+ years post-PhD experience in the pharmaceutical/biotechnology industry (or MS in one of these fields with 7+ years of related experience)
• Familiarity with modern deep learning architectures including CNN, RNN, Transformer, GCNN and MPNN, and machine learning paradigms such as generative models, GAN, and active learning
• Experience with deep learning platforms such as Pytorch, Tensorflow, or Keras
• Strong programming skills in Python and experience with data science stack including numpy, pandas, scikit-learn, and other related scientific libraries
• Ability to visualize and effectively convey results to multidisciplinary audiences
• Strong analytical and problem-solving skills
• Published research on deep learning methodologies and applications
• Excellent written and oral communication skills, including an ability to explain complex ideas to non-specialists

Qualifications

• PhD in Computer Science or related technical fields with 5+ years relevant industrial experience post-PhD (or MS in one of these fields with 7+ years of related experience)[AP1] .
• Good understanding of machine learning and modern deep learning architectures and paradigms
• Development experience with big-data technologies, and orchestration tools familiarity with data science frameworks such as MLflow and Metaflow
• Strong programming skills in a modern language such as Python and Java
• Strong analytical and problem-solving skills
• Excellent written and oral communication skills, including an ability to explain complex ideas to non-specialists

Desired Qualifications

• Experience with structural-based modeling and molecular dynamics
• Experience applying QSAR and machine learning models to drug discovery
• Experience with small molecule chemistry toolkits like RDKit and OEChem

At TandemAI, we are committed to building a world-class team whose culture is founded on collaboration, intellectual curiosity, trust, and respect. We firmly believe that our exceptional staff will be the key to our success and are committed to high standards and rigorous science. Because of this, we are prepared to offer a competitive salary, stock options, and a wide range of benefits that include healthcare, a 401k, pre-tax commuter benefits, and a flexible work schedule.