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San Francisco, California, United States · Hybrid
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OpenArt AISan Francisco, California, United States · Remote OK
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Midjourney IncSan Francisco, California, United States · Hybrid
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San Francisco, California, United States · On-site
$28/hr–$30/hr
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San Francisco, California, United States · On-site
$100/hr–$120/hr
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ThorinSan Francisco, California, United States · On-site
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San Francisco, California, United States · Hybrid
$81k–$172k/yr
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San Francisco, California, United States · Hybrid
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San Francisco, California, United States · Remote OK
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San Francisco, California, United States · Hybrid
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San Francisco, California, United States · Hybrid
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San Francisco, California, United States · Hybrid
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San Francisco, California, United States · Hybrid
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San Francisco, California, United States · Hybrid
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San Francisco, California, United States · Hybrid
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San Francisco, California, United States · Hybrid
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San Francisco, California, United States · On-site
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About the Company Simile is The Simulation Company. We simulate human behavior to keep people at the center of the decisions that shape the world. With AI, anyone can create a product, a campaign, a policy, or a script —…
Skills: LLM Evaluation, Statistical Analysis, Python, SQL, R
San Francisco, California, United States • On-site
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Lead the development and application of advanced computational, statistical, and machine learning methodologies to support model-informed drug development for infectious diseases. Integrate diverse preclinical and clinical datasets to optimize drug regimens, dose selection, and clinical trial designs.
Requires a Bachelor's degree in Computer/Data Science or a related domain with at least 5 years of relevant experience in pharmacometrics and MIDD. Proficiency in Python or R and the ability to lead independent quantitative research are essential.
Job Function Summary:
Applies advanced computational, computer science, data science, statistical, and quantitative modeling principles, together with domain expertise in pharmacology, drug development, and translational science, to perform research and technology development supporting model-informed drug development (MIDD). Responsibilities include the design, development, implementation, validation, and application of computational models, machine learning approaches, simulation frameworks, and quantitative decision-support tools used to advance drug regimen development and clinical translation. The position integrates diverse preclinical, clinical, and real-world datasets to develop predictive models that support regimen optimization, dose selection, trial design, and translational decision-making. Research activities may include pharmacometric modeling, quantitative systems pharmacology (QSP), mechanistic and Bayesian modeling, artificial intelligence and machine learning methods, statistical analyses, and development of computational workflows and scientific software. This specialty exists for positions whose primary responsibility is to conduct independent quantitative research and use computational and data science technologies to advance biomedical and translational research.
Generic Scope
Technical leader with a high degree of knowledge in the overall field and recognized expertise in specific areas; problem-solving frequently requires analysis of unique issues / problems without precedent and / or structure. May manage programs that include formulating strategies and administering policies, processes, and resources; functions with a high degree of autonomy.
Custom Scope
The Savic Integrated Pharmacology Laboratory at UCSF seeks a senior quantitative scientist to lead the development and application of advanced computational, statistical, pharmacometric, and machine learning methodologies to support model-informed drug development (MIDD) within the PReDiCTR-TB Consortium. The incumbent will apply expertise in pharmacometrics, quantitative systems pharmacology, AI/ML, computational biology, and translational modeling to develop predictive frameworks that inform regimen optimization, dose selection, clinical trial design, and translational decision-making for infectious disease drug development. The position requires scientific leadership across multiple complex projects and collaboration with academic, industry, and regulatory stakeholders. The incumbent will independently design, develop, validate, and deploy quantitative models and computational tools that integrate preclinical, clinical, and real-world datasets, and will contribute to publications, grant applications, and strategic scientific initiatives across the consortium.
Pioneers in perioperative medicine. Dedicated to healing, teaching and discovering for more than 60 years.
The Department of Anesthesia and Perioperative Care at UC San Francisco is a pioneering leader in providing outstanding, state of the art healthcare that is equitable and inclusive. In alignment with the wider UCSF mission to advance health worldwide, we are committed to optimizing perioperative outcomes, training the next generation of anesthesiology leaders, and translating discoveries to benefit the health and life of our patients and the wide range of communities we serve. Consistently ranked in the top ten nationally in NIH-funded research, important discoveries by our department include the first use of CPAP in premature infants, key contributions to the pharmacology of muscle relaxants and inhaled anesthetics, first demonstration of intraoperative transesophageal echocardiography, and many others [https://anesthesia.ucsf.edu/anesthesia-timeline-fullscreen]. We have robust research programs, spanning the range from ion channel structure and function, to clinical and translational research [https://anesthesia.ucsf.edu/welcome-ucsf-anesthesia-research]. Our trainees have become leaders across the country. We are particularly proud of our residency program [https://anesthesia.ucsf.edu/education-program-ucsf-department-anesthesia], which provides unequaled diversity of experience in a major university medical center (UCSF Helen Diller Medical Center at Parnassus Heights), the San Francisco Veterans Hospital, Zuckerberg San Francisco General Hospital, Mount Zion Hospital, the UCSF Orthopaedic Institute, and the UCSF Benioff Children's, Betty Irene Moore Women's and Bakar Cancer (NIH-designated Cancer Center) Hospitals in the Mission Bay neighborhood. We offer ACGME fellowships in Critical Care Medicine, Pain Medicine, Cardiac Anesthesia, Obstetric Anesthesia, Pediatric Anesthesia, Acute Pain and Regional Anesthesia, and many additional non-ACGME fellowships. Our faculty are dedicated to teaching, nurturing, and mentoring the next generation of leaders.
Offices: San Francisco, CA 94143, US
Based on 2305 listings with disclosed salaries, most data & analytics jobs in San Francisco, CA pay between $125k–$280k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 2,859 open data & analytics positions in San Francisco, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include OpenAI, UCSF Department of Anesthesia and Perioperative Care, Salesforce, Anthropic, Williams-Sonoma, Inc., among others. Browse the listings above to see every active employer.
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