Director - Data Science

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We are seeking an outstanding Director, Data Science to join our Platform team and lead the Data Science team, reporting to the President of CZ Biohub. The Director of Data Science is responsible for directing the efforts of a dynamic team of approximately seventeen data scientists, in coordination with the Biohub’s internal research groups and technology platforms, including quantitative cell science, infectious disease, genomics, mass spectrometry, bioengineering, and computational microscopy.

The successful candidate will be an accomplished and active biomedical data scientist, with a proven track record for scholarly excellence, scientific innovation, impact, guidance/mentoring, and team management.

You will

• Lead the Data Science platform, which is a research team composed of bioinformaticians, computer scientists, mathematicians and programmers
• Contribute to primary research, tool building, problem solving, and academic output, including contributions to peer reviewed manuscripts, solutions to complex problems and scientific questions
• Create and implement solutions with respect to complex problems/scientific questions on large scale data sets, especially using machine learning approaches, predictive models, and statistical analysis, especially in the area of genomics, proteomics, and imaging
• Collaborate and coordinate with the other technology platforms (Bioengineering, Computational Microscopy, Mass Spectrometry, Genomics & Sequencing) to analyze and integrate large scale data sets from diverse sources
• Collaborate and coordinate with Group Leaders and their teams on projects, particularly enterprise-wide projects to identify, capture, store, and integrate data streams for analysis and hypothesis testing/generation
• Collaborate with IT to guide scientific compute and data storage infrastructure priorities, strategy, data governance, security, and access policies
• Collaborate with IT to manage and maintain existing data portals and reporting platforms, data visualization tools
• Collaborate with software development and engineering teams at the Biohub and at the Chan Zuckerberg Initiative (CZI) to maximize access and impact of Biohub datasets

You have

Essential –

• PhD preferred and 8+ years of relevant experience, OR MS/MA and 12+ years of relevant experience
• Strong track record of scientific research contributions
• Strong team leadership, critical thinking, analytical thinking, communication, teamwork, project management, portfolio management, and influencing skills
• Possess strong abilities to manage, mentor, develop and improve people, processes and technology
• Knowledge of how to analyze and manage large data sets as well as strategies for visualizing and communicating results to inform research and strategic decisions
• In-depth knowledge and experience in process management, change control, collaboration, knowledge management, project delivery, analytics and metrics

Nice to have -

• Experience with 10x/Illumina single cell sequencing analysis
• Metagenomics, virology, microbiology
• Spatial transcriptomics
• Familiarity with light sheet imaging
• Large scale sequence alignment algorithms
• Proteomic and Metabolomic data
• Mammalian and Zebrafish genomics