Logo
The Chan Zuckerberg Biohub, Inc.

Research Scientist - AI and Biology

The Chan Zuckerberg Biohub, Inc., San Francisco, California, United States, 94199


Research Scientist - AI and Biology (Biohub SF)

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 VisionWe pursue large scientific challenges that cannot be pursued in conventional environmentsWe enable individual investigators to pursue their riskiest and most innovative ideasThe technologies developed at CZ Biohub San Francisco facilitate research by scientists and clinicians at our home institutions and beyondDiversity 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 OpportunityReporting to the Director of Computational Biology and Data Science , the Research Scientist will have primary responsibility for developing multimodal data fusion strategies and building innovative AI/ML models to enable CZ Biohub research in San Francisco.You willDevelop multimodal data fusion strategies; building, deploying and maintaining state-of-the-art deep learning models to enable translation across multimodal cellular readoutsDevelop innovative approaches (deep generative models, foundation models, etc.) for modeling diverse biological data types across multiple scales (cell, tissue, organism) in collaboration with interdisciplinary teams in a hybrid scientific and engineering cultureWriting and presenting work at scientific conferencesYou havePhD degree in PhD degree in Computer Science, Bioengineering, Computational Biology, or a related field with AI/ML focus3+ years of experience with Python and relevant deep learning libraries (TensorFlow or PyTorch)Track record of publications in the field of machine learning applied to biological (omic and/or imaging) dataExperience working with large multimodal datasets (omic and one or more of image and language modalities), and training large AI/ML modelsExperience working in Linux environments and familiarity with version control systems (eg. git)An appetite to follow and build on state-of-the-art research in machine learning, multimodal reasoning, representation learningStrong professional judgment, problem-solving abilities that adapt to a variety of situationsStrong interpersonal skills with excellent written and verbal communication skillsAbility to respond quickly to shifting circumstances and adjust and prioritize accordinglyNice to have -Knowledge of learning paradigms beyond supervised learning, such as multimodal data fusion, weakly supervised learning, multitask learning, meta-learningExperience with deep generative models such as variational autoencoders, generative adversarial networks, and diffusion modelsWorking knowledge of cell biology and normalization steps associated with one or more omic data modalitiesThe Chan Zuckerberg Biohub 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$150,000 - $205,700What We ProvideResources to disrupt and innovate at the frontiers of our knowledge of biology and diseaseA collegial and collaborative environment consisting of diverse expertiseAccess 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 beyondCompetitive compensation and benefits commensurate with experienceWe 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.Accepted file types: pdf, doc, docx, txt, rtfAccepted file types: pdf, doc, docx, txt, rtfLinkedIn ProfileWebsiteAre you currently eligible to work in the United States of America? *

Select...Do you now or in the future require visa sponsorship to continue working in the United States? *

Select...In the last 12 months, have you applied to any organization(s) within the Chan Zuckerberg Science ecosystem? *

Select...We have many exciting career opportunities available, and as part of our collaborative approach, we work with our hiring teams across our wider network to identify talent for our openings. Please opt-in or opt-out if you would like us to share your profile for other opportunities. *

Select...Describe your experience with Pytorch/Tensorflow/Keras. How many years? Specify which libraries. *Describe your experience with multimodal data fusion in a deep learning framework. *List your publications in the field of machine learning applied to biological (omic and/or imaging) data. *Describe your experience working with large multimodal datasets (omic and one or more of image and language modalities - variational autoencoders, generative adversarial networks, diffusion models, multiple instance learning , multi-task learning, meta-learning). *Describe experience with other machine learning frameworks you would like to highlight (image data, (multi)omic data, language data, working knowledge of cell biology). *Describe your working knowledge of normalization methods for an omic modality. *Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.As set forth in Chan Zuckerberg Biohub - San Francisco’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.Select...Voluntary Self-Identification of Disability

Form CC-305Page 1 of 1OMB Control Number 1250-0005Expires 04/30/2026Voluntary Self-Identification of Disability

Form CC-305

Page 1 of 1

OMB Control Number 1250-0005

Expires 04/30/2026Why are you being asked to complete this form?

We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp .How do you know if you have a disability?

A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability.

Disabilities include, but are not limited to:Alcohol or other substance use disorder (not currently using drugs illegally)Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDSBlind or low visionCancer (past or present)Cardiovascular or heart diseaseCeliac diseaseCerebral palsyDeaf or serious difficulty hearingDiabetesDisfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disordersEpilepsy or other seizure disorderGastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndromeIntellectual or developmental disabilityMental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSDMissing limbs or partially missing limbsMobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supportsNervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS)Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilitiesPartial or complete paralysis (any cause)Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysemaShort stature (dwarfism)Traumatic brain injury

Disability Status

Select...

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.

#J-18808-Ljbffr