Bioimage Informatics Scientist - Image Analysis & Machine Learning (Royer Group)
San Francisco, California, United States
Chan Zuckerberg Biohub
Learn how the CZ Biohub Network brings together researchers from across disciplines to pursue audacious, important scientific challenges.The Chan Zuckerberg Biohub San Francisco (CZ Biohub SF) (https://www.czbiohub.org/sf/) is an independent nonprofit research institute that brings together three powerhouse universities - Stanford, UC Berkeley, and UC San Francisco - into a single collaborative technology and discovery engine. CZ Biohub SF itself supports some of the brightest, boldest engineers, data scientists, and biomedical researchers to investigate the fundamental mechanisms underlying disease and develop new technologies that will lead to actionable diagnostics and effective therapies. We are guided by our values of scholarly excellence; disruptive innovation; hands-on engineering/hacking/building; partnership and collaboration; open communication and respect; inclusiveness; and opportunity for all.
Our Vision
- We pursue large scientific challenges that cannot be pursued in conventional environments
- We enable individual investigators to pursue their riskiest and most innovative ideas
- The technologies developed at CZ Biohub San Francisco facilitate research by scientists and clinicians at our home institutions and beyond
Diversity of thought, ideas, and perspectives are at the heart of CZ Biohub Network and enable disruptive innovation and scholarly excellence. We are committed to cultivating an inclusive organization where all colleagues feel inspired and know their work makes an important contribution.
The Opportunity
Come join an interdisciplinary team of biologists, data scientists, and engineers! This position is to join the Imaging AI unit led by Loic Royer at the Chan Zuckerberg Biohub SF (https://www.czbiohub.org/royer). We strive to apply AI and deep learning modeling approaches to understand how cells, organs, and embryos are built and function by analyzing high-quality, large-scale multimodal datasets obtained by fluorescence microscopy, proteomics, and various omics technologies. We design new protocols, build novel instruments, assemble unique large datasets, and use them to develop new algorithms and analyses. Our science is fully open-source and published in journals like Science and Nature Methods:
https://zebrahub.ds.czbiohub.org/; https://bit.ly/3T5Fbmf; https://go.nature.com/3rXOSae; https://go.nature.com/3EEf9C9.
We seek a Bioimage Informatics Scientist - Image Analysis & Machine Learning to spearhead our efforts to extract quantitative biological insights and build differential models from multimodal datasets. This is an exciting opportunity to work at the leading edge of Artificial Intelligence, Differential Modeling, and Systems Biology, supported by experts in a highly collaborative and well-funded scientific environment.
What You'll Do
- Design pipelines for image processing of biological microscopy data
- Conceive novel deep learning-based algorithms to obtain new insights from our unique image dataset
- Partner with biology experts to analyze and model complex multimodal datasets.
- Explain technical concepts to a multi-disciplinary team of biologists, bioengineers, and data scientists at the Biohub
- Author publications & mentor junior colleagues
What You'll Bring
Essential –
- PhD in Computational Biology, Bioinformatics, Biophysics, or a related discipline. This can be waived if the candidate demonstrates exceptional knowledge and experience.
- At least 3 years of expertise in image processing and scientific programming in Python (e.g. NumPy, SciPy, scikit-image, TensorFlow, PyTorch, etc.…)
- Experience with and interest in biological imaging, cell biology
- Enthusiasm for systems biology and open-source software
- Familiarity with professional software development best practices (documentation, version control, CI/CD pipelines)
- Must be highly collaborative, team-oriented, and have excellent written and oral communication skills
Nice to have -
- Experience with fluorescence microscopy
- Experience building and training deep neural networks for computer vision tasks
- Familiarity with relational databases and cloud-based platforms (like AWS)
The Chan Zuckerberg Biohub Network requires all employees, contractors, and interns, regardless of work location or type of role, to provide proof of full COVID-19 vaccination, including a booster vaccine dose, if eligible, by their start date. Those who are unable to get vaccinated or obtain a booster dose because of a disability, or who choose not to be vaccinated due to a sincerely held religious belief, practice, or observance must have an approved exception prior to their start date.
Compensation
- Data Scientist I = $108,000 - $148,500
- Data Scientist II = $124,000 - $170,500
New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. Your recruiter can share more about the specific pay range during the hiring process.
What We Provide
- Resources to disrupt and innovate at the frontiers of our knowledge of biology and disease
- A collegial and collaborative environment consisting of diverse expertise
- Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomic Sequencing, Mass Spectrometry/Proteomics), and Research Group Leaders
- Access to collaborators, resources and facilities at our three partner universities (Stanford, UC Berkeley, and UC San Francisco) and at partner organizations in the Bay Area and beyond
- Competitive compensation and benefits commensurate with experience
Benefits
We offer a robust benefits program that enables the important work Biohubbers do everyday. Our benefits include healthcare coverage, life and disability insurance, commuter subsidies, family planning services with fertility care, childcare stipend, 401(k) match, flexible time off and a generous parental leave policy. In addition, we honor our commitment to career development and our value of scholarly excellence through regular onsite opportunities to learn from the world's leading scientists.
The CZ Biohub Network is an equal opportunity employer committed to diversity of thought, ideas and perspectives. We are committed to cultivating an inclusive organization where all Biohubbers feel inspired and know their work makes an important contribution. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law.
Pursuant to the California Fair Chance Act, we will consider for employment qualified applicants with arrest and conviction records.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. The CZ Biohub Network does not accept unsolicited headhunter and agency resumes. The CZ Biohub Network will not pay fees to any third-party agency or company that does not have a signed agreement with the CZ Biohub Network.
Tags: AWS Bioinformatics Biology CI/CD Computer Vision Deep Learning Engineering Machine Learning Nonprofit NumPy Open Source PhD Pipelines Python PyTorch RDBMS Research Scikit-learn SciPy TensorFlow
Perks/benefits: 401(k) matching Career development Competitive pay Fertility benefits Flex vacation Home office stipend Insurance Parental leave Startup environment
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