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- Tasks: Lead a team to create biological datasets for AI modelling and manage data science projects.
- Company: Join a cutting-edge social network focused on advancing biological data science.
- Benefits: Enjoy flexible benefits, 401(k) matching, and volunteer time off.
- Why this job: Be part of innovative AI research while collaborating with diverse teams in a dynamic environment.
- Qualifications: 10+ years in biological data, with strong leadership and big data expertise required.
- Other info: Remote work options available; we value diverse experiences and encourage all applicants.
The predicted salary is between 72000 - 108000 £ per year.
The Senior Data Science Manager will lead a team to define and create datasets for modeling biological systems at a molecular level, collaborating with various teams to generate and utilize data effectively. This role involves managing a team of data scientists working on high-quality, standardized datasets for AI modeling, with a focus on biological data including imaging and sequencing modalities.
Responsibilities include:
- Team management, data product delivery, and fostering collaboration across disciplines to support AI research and public data resources.
- Manage data science teams creating biological datasets for AI modeling.
- Hire experts in imaging, sequencing, and mass spectrometry.
- Implement systems for agile data generation and processing.
- Identify new data opportunities and oversee their delivery.
- Coordinate with ML engineers, AI researchers, and data engineers to produce and publish datasets.
What You’ll Bring:
- 10+ years experience with biological data, including imaging and sequencing.
- Proven track record with large data products involving sequencing and imaging.
- 5+ years managing hybrid/remote teams.
- Expertise in big data processing, statistical reasoning, and machine learning.
- Experience with image and sequence data analysis and QC.
- Familiarity with data pipelines and orchestration tools.
- Strong communication skills and eagerness to learn new technologies.
Compensation: The Redwood City, CA base pay range is $241,000 - $362,000, with adjustments based on location and experience.
Benefits for the Whole You:
- Employer match on 401(k).
- Flexible annual benefits for personal needs.
- Recognition gifts and volunteer time off.
- Family-forming benefits and relocation support.
We encourage applicants even if their experience doesn’t match all qualifications exactly, as they may be a good fit for this or other roles.
Senior Manager, Data Science, Science employer: Chan Zuckerberg Initiative
Contact Detail:
Chan Zuckerberg Initiative Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager, Data Science, Science
✨Tip Number 1
Network with professionals in the data science and biological fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends in AI and biological data.
✨Tip Number 2
Showcase your leadership skills by participating in relevant projects or initiatives. Highlight any experience you have in managing teams, especially in hybrid or remote settings, as this is crucial for the Senior Manager role.
✨Tip Number 3
Stay updated on the latest tools and technologies in big data processing and machine learning. Familiarity with data pipelines and orchestration tools will set you apart, so consider taking online courses or certifications to enhance your knowledge.
✨Tip Number 4
Prepare to discuss specific examples of your work with biological datasets, particularly in imaging and sequencing. Be ready to explain how you've successfully delivered large data products and collaborated with cross-functional teams in the past.
We think you need these skills to ace Senior Manager, Data Science, Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with biological data, particularly in imaging and sequencing. Emphasise your management experience and any relevant projects that showcase your ability to lead teams in data science.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data science in the biological field. Mention specific examples of how you've successfully managed teams and delivered data products, and express your eagerness to contribute to AI research.
Showcase Relevant Skills: Clearly outline your expertise in big data processing, statistical reasoning, and machine learning in your application. Highlight any experience with data pipelines and orchestration tools, as these are crucial for the role.
Follow Application Instructions: Ensure you follow all application instructions provided by the company. This includes submitting all required documents and adhering to any specified formats or guidelines. Double-check everything before hitting submit!
How to prepare for a job interview at Chan Zuckerberg Initiative
✨Showcase Your Leadership Skills
As a Senior Manager, you'll be expected to lead a team effectively. Prepare examples of how you've successfully managed teams in the past, particularly in hybrid or remote settings. Highlight your approach to fostering collaboration and driving results.
✨Demonstrate Technical Expertise
Be ready to discuss your experience with biological data, especially in imaging and sequencing. Prepare to explain complex concepts in a way that shows your depth of knowledge while remaining accessible to those from different backgrounds.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in data product delivery or team management and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Research the Company Culture
Understanding the company's values and culture is crucial. Familiarise yourself with their approach to AI research and public data resources. This will help you align your answers with their mission and demonstrate your enthusiasm for the role.
