This is a fully remote position, open to applicants in California.

📋 Description

• Maintain a profound expertise in one or more domains of AI technology.

• Effectively present and articulate the significance of technological advancements as they pertain to our work in biostatistics, bioinformatics, and data science.

• Collaborate with stakeholders to identify and refine requirements for ML- and AI-driven solutions.

• Partner with fellow ML/AI engineers and relevant collaborators to develop software solutions that leverage AI and machine learning techniques.

• Operate within an Agile framework that emphasizes iterative and rapid delivery of proof-of-concept solutions.

• Provide guidance and coaching to junior team members.

⛳️ Requirements

• Ph.D. in Statistics, Computational Biology, Computer Science, or a related quantitative discipline, or a master’s degree with 4 years of experience in lieu of a Ph.D.

• Over 3 years of experience in statistics, computational biology, applied mathematics, or a related quantitative field.

• More than 3 years of experience with artificial intelligence and machine learning algorithms.

• Proven knowledge and expertise in advanced AI concepts, including artificial neural networks, deep learning, and reinforcement learning.

• Strong programming skills with demonstrated experience in Python and one or more relevant machine learning frameworks such as TensorFlow, PyTorch, or SKLearn.

• Eligibility to work in the United States without requiring sponsorship.