University of California, San Francisco
Senior Data Scientist
University of California, San Francisco, San Francisco, California, United States, 94199
Senior Data Scientist
University of California, San Francisco
Role Overview Job Summary:
The Senior Data Scientist will create and apply innovative data‑science, AI, and biomedicine approaches to answer complex research questions.
The role involves computational pipelines on AWS and Linux distributed file systems for large clinical, genotypic, biological, phenotypic and population level data, including structured, semi‑structured, and unstructured data such as genetics, text, images, and “messy” alphanumeric data.
The specialist will build scalable software tools and advise on effective AI/ML methods, ensuring compliance with UCSF privacy and security policies.
Key Partnerships:
Work with UCSF Business Development functions (Center for Real‑World Evidence, Office of Innovation, Technology & Alliances) to provide data‑based analyses, consult on strategies, and evaluate third‑party tools for Next Generation Sequencing, Foundation Models, NLP and text mining.
Responsibilities • Design and develop computational workflows and pipelines for large‑scale biomedicinal data integration.
• Apply machine learning, statistical, and other data‑science techniques to real‑world clinical datasets.
• Collaborate with research labs, biotech companies, and UCSF internal stakeholders to translate analytics into actionable insights.
• Evaluate and recommend new AI/ML tools and platforms, ensuring they meet system compliance and privacy requirements.
• Manage moderate‑scope projects, producing deliverables on time and maintaining documentation for reproducibility.
Required Qualifications
Bachelor’s degree in Computer, Computational, or Data Science, Biomedical Computation, or related field with a minimum of 3 years of relevant experience (or equivalent combination).
Intermediate knowledge of large‑dataset computing/querying in Python/R, SQL (including NoSQL), and UNIX shell programming.
Experience managing moderately complex projects and applying AI at a large scale to biomedical data.
Strong communication skills to explain technical concepts to both technical and non‑technical audiences.
Demonstrated ability to independently resolve computing and data problems using introductory and intermediate principles.
Self‑motivated, effective in independent work or teamwork, and able to meet deadlines with strong problem‑solving skills.
Collaborative experience with faculty, students, and administrators.
Preferred Qualifications
Master’s degree in Computer Science or related field with advanced data science and AI coursework.
5+ years of relevant experience or an equivalent combination of education and experience.
Experience with AWS, Unix/Linux, Python, Java, RStudio, Jupyter, Hadoop, Spark, Hive.
Knowledge of large‑scale data analysis (tens of billions of records) and algorithmic optimization.
Experience in web development, data structures, and secure software development.
Project management in high‑performance computing and cloud environments.
Strong grant‑proposal writing and technical narrative development.
Department Description “Bakar Computational Health Sciences Institute (BCHSI) is a central hub for computational and data‑science approaches across UCSF’s four professional schools, driving precision medicine through integration of disparate datasets.
Benefits Salary range: $97,100 – $145,700 (Annual Rate).
Final offer components are subject to additional approvals based on UC policy.
Equal Employment Opportunity The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
Location San Francisco, CA – Mission Bay (SF)
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Role Overview Job Summary:
The Senior Data Scientist will create and apply innovative data‑science, AI, and biomedicine approaches to answer complex research questions.
The role involves computational pipelines on AWS and Linux distributed file systems for large clinical, genotypic, biological, phenotypic and population level data, including structured, semi‑structured, and unstructured data such as genetics, text, images, and “messy” alphanumeric data.
The specialist will build scalable software tools and advise on effective AI/ML methods, ensuring compliance with UCSF privacy and security policies.
Key Partnerships:
Work with UCSF Business Development functions (Center for Real‑World Evidence, Office of Innovation, Technology & Alliances) to provide data‑based analyses, consult on strategies, and evaluate third‑party tools for Next Generation Sequencing, Foundation Models, NLP and text mining.
Responsibilities • Design and develop computational workflows and pipelines for large‑scale biomedicinal data integration.
• Apply machine learning, statistical, and other data‑science techniques to real‑world clinical datasets.
• Collaborate with research labs, biotech companies, and UCSF internal stakeholders to translate analytics into actionable insights.
• Evaluate and recommend new AI/ML tools and platforms, ensuring they meet system compliance and privacy requirements.
• Manage moderate‑scope projects, producing deliverables on time and maintaining documentation for reproducibility.
Required Qualifications
Bachelor’s degree in Computer, Computational, or Data Science, Biomedical Computation, or related field with a minimum of 3 years of relevant experience (or equivalent combination).
Intermediate knowledge of large‑dataset computing/querying in Python/R, SQL (including NoSQL), and UNIX shell programming.
Experience managing moderately complex projects and applying AI at a large scale to biomedical data.
Strong communication skills to explain technical concepts to both technical and non‑technical audiences.
Demonstrated ability to independently resolve computing and data problems using introductory and intermediate principles.
Self‑motivated, effective in independent work or teamwork, and able to meet deadlines with strong problem‑solving skills.
Collaborative experience with faculty, students, and administrators.
Preferred Qualifications
Master’s degree in Computer Science or related field with advanced data science and AI coursework.
5+ years of relevant experience or an equivalent combination of education and experience.
Experience with AWS, Unix/Linux, Python, Java, RStudio, Jupyter, Hadoop, Spark, Hive.
Knowledge of large‑scale data analysis (tens of billions of records) and algorithmic optimization.
Experience in web development, data structures, and secure software development.
Project management in high‑performance computing and cloud environments.
Strong grant‑proposal writing and technical narrative development.
Department Description “Bakar Computational Health Sciences Institute (BCHSI) is a central hub for computational and data‑science approaches across UCSF’s four professional schools, driving precision medicine through integration of disparate datasets.
Benefits Salary range: $97,100 – $145,700 (Annual Rate).
Final offer components are subject to additional approvals based on UC policy.
Equal Employment Opportunity The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
Location San Francisco, CA – Mission Bay (SF)
#J-18808-Ljbffr