Director, Applied Data Science

Summary

Join a rapidly growing drug discovery company as a seasoned Director of Applied Data Science to lead a team of skilled Data Scientists making the most of A-Alpha's proprietary data platform and machine learning capabilities.

Requirements

• PhD in a related field with 10+ years of experience and 5 + years of management experience; or an equivalent combination of education and experience
• Direct experience in statistical treatment of high-throughput biological data, as well as in the application of deep learning to high-throughput biological sequence data
• Familiarity with state-of-the-art machine learning techniques in at least one of the following areas: antibody or protein engineering, drug discovery, NGS-based assays, and/or synthetic biology
• Proven leadership in recruiting and managing high-performing teams of scientists and engineers in a cross-functional and fast-paced environment, with a history of maximizing and growing internal talent
• Ability and desire to contribute to applied data science as an expert individual contributor in addition to management duties
• Impressive technical track record at leading pharma/biotech companies
• Strong interpersonal, verbal/written communication, and problem-solving skills

Responsibilities

• Grow and manage a high-performing team of data scientists working on computational analysis of many disparate internal and external projects
• Represent A-Alpha to external stakeholders by leading data science efforts for major partnerships
• Independently identify and pursue methodological improvements and new scientific objectives within areas of expertise
• Work closely with colleagues to maximize the impact of computational analysis for ongoing drug discovery and optimization campaigns
• Participate in the publication of research papers and filing of patents

Preferred Qualifications

• Experience with contracting, business development , and alliance management in the context of pharma/biotech partnerships
• Experience with the application of natural language processing techniques to high-throughput biological sequence data at scale
• Experience creating and maintaining deployment pipelines with CI/CD tools
• Expertise with Python, Pandas, Pytorch, and Amazon Web Services

Benefits

• Competitive compensation
• Flexible time off
• Equity in a fast-growing start-up