Scientist - DeRisi Lab

Key Skills

Analytical and Problem solving, Data Analytics, Data science techniques, Effective communication skills, Immunology, Machine learning techniques, Planning and organization, Python Programming, RNA-seq Data processing

Job Description

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

The DeRisi Lab seeks experienced PhD level scientists for a staff position to pursue machine learning approaches to antigen repertoire data from human samples, created on a variety of platforms, including PhIPseq, mass spec, yeast display and others, with the goal of uncovering disease drivers in autoimmune disease, cancer, and post-infectious inflammation.

You will

• Will work closely with technicians, graduate students, postdocs, and clinicians to analyze high throughput data to surface disease biomarkers or pathogenic targets of auto antibodies
• Ensure meticulous record-keeping of experimental workflows, findings, and analytical data
• Disseminate findings through scientific publications and presentations at internal, local, and international conferences
• Actively participate in the publication process, from manuscript preparation to submission in peer-reviewed journals and open-access platforms
• Contribute to disseminating research findings by depositing software and datasets in recognized repositories
• Stay updated with the latest molecular biology and multiomics techniques relevant to cancer and immunology research
• Provide guidance and mentorship to junior team members, fostering a nurturing learning environment

You have

Essential –

• PhD in a relevant field with 1-2 years of post-Ph.D. experience, and at least 5 years of research experience
• At least 4 years of experience in cellular and general molecular biology techniques
• 1 year of machine learning with different data types
• 1 year Python or a comparable language
• Robust experience in RNA sequencing (bulk and single-cell) and proteomics methods
• Strong relationship and community-building and interpersonal skills
• Excellent written and verbal communication skills
• Excellent professional judgment, problem-solving skills, and the ability to work independently and as part of a team
• Organizational skills and the flexibility to jump between projects and priorities

Nice to have -

• Immunology and cancer research experience

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

• Scientist I = $100,000 - $137,500
• Scientist II = $112,000 - $154,000

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.