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Statistical Learning Jobs in California (NOW HIRING)

In a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, or Public Health * 3+ years of experience; Direct experience in clinical research ...

LA Kings - Sr. Data Engineer

El Segundo, CA · On-site

$122K - $146K/yr

... statistical learning, and machine learning Qualifications : Required : • BA/BS Degree (4-year) (Advanced Degree Preferred) Computer Science, Data Science, or similar field • 4-6 years related ...

Applies analytical tools, including statistical learning methods where appropriate, to support defect detection, classification, and sensor process monitoring improvements. * Utilizes technical ...

Senior Agentic AI Engineer

Irvine, CA · On-site

$170 - $230/hr

Continuous Learning & Evangelism: Stay at the forefront of advancements in agentic AI, LLMs, and statistical learning theory, and act as a subject matter expert, evangelizing new analytical ...

Applies analytical tools, including statistical learning methods where appropriate, to support defect detection, classification, and sensor process monitoring improvements. * Utilizes technical ...

In a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, or Public Health * 3+ years of experience; Direct experience in clinical research ...

Statistical learning theory, optimization, probability theory, and information theory * Causal inference, decision theory, game theory * Online learning, bandits, RL, Bayesian methods * Strong ...

Senior Agentic AI Engineer

Irvine, CA

$112K - $154K/yr

Continuous Learning & Evangelism: Stay at the forefront of advancements in agentic AI, LLMs, and statistical learning theory, and act as a subject matter expert, evangelizing new analytical ...

Senior Agentic AI Engineer

Irvine, CA · On-site

$112.20 - $190.70/hr

Continuous Learning & Evangelism: Stay at the forefront of advancements in agentic AI, LLMs, and statistical learning theory, and act as a subject matter expert, evangelizing new analytical ...

Senior Agentic AI Engineer

Irvine, CA · On-site

$112K - $154K/yr

Continuous Learning & Evangelism: Stay at the forefront of advancements in agentic AI, LLMs, and statistical learning theory, and act as a subject matter expert, evangelizing new analytical ...

Showing results 21-40

Statistical Learning information

What are the key skills and qualifications needed to thrive as a statistical learning specialist?

To thrive as a Statistical Learning Specialist, you need a strong background in statistics, probability, and machine learning, typically supported by an advanced degree in statistics, mathematics, computer science, or a related field. Expertise with programming languages such as Python or R, experience with statistical software (e.g., SAS, MATLAB), and familiarity with data analysis libraries are essential. Critical thinking, problem-solving, and effective communication skills help translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful patterns from data and driving data-informed decision-making.

How do professionals in statistical learning typically collaborate with data scientists and domain experts on projects?

Professionals in statistical learning often work closely with data scientists and domain experts to ensure that the models they develop are both statistically sound and practically relevant. Collaboration usually involves joint problem definition, sharing data insights, and iterative feedback on model performance. Statistical learning experts contribute their knowledge of algorithms and statistical methods, while data scientists handle data pre-processing and engineering, and domain experts provide context to interpret results. This multidisciplinary teamwork helps ensure that solutions are robust and actionable for stakeholders.

What is the difference between Statistical Learning vs Data Analyst?

AspectStatistical LearningData Analyst
Required CredentialsDegree in Statistics, Data Science, or related fieldsDegree in Statistics, Data Science, Business, or related fields
Work EnvironmentResearch, academia, tech companies, data science teamsBusiness, marketing, finance, healthcare organizations
Employer & Industry UsageTech firms, research institutions, startupsCorporations, consulting firms, government agencies
Common Search & ComparisonStatistical Learning vs Data Analyst

Statistical Learning focuses on developing models and algorithms to understand data patterns, often requiring advanced statistical and programming skills. Data Analysts interpret data to generate reports and insights, typically emphasizing data visualization and business understanding. While both roles analyze data, Statistical Learning is more research-oriented and technical, whereas Data Analysts focus on practical data interpretation for decision-making.

What will I become if I study statistical learning?

Studying statistical learning can lead to roles such as data scientist, data analyst, machine learning engineer, or statistician. These positions involve analyzing data, building predictive models, and applying statistical methods using tools like R or Python in various industries.

What are popular job titles related to Statistical Learning jobs in California?

For Statistical Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Statistical Learning jobs in California look for?

The top searched job categories for Statistical Learning jobs in California are:

What cities in California are hiring for Statistical Learning jobs?

Cities in California with the most Statistical Learning job openings:

Associate Director, Statistical Programming

Revolution Medicines

Redwood City, CA • On-site

Full-time

Re-posted 8 days ago


Job description

Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company's R&D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins. The company's RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.
The Opportunity:
Position requires 14+ years of Statistical Programming experience with exploratory-stage oncology clinical trials, providing programming support and oversight of one or more clinical programs (early or late phase) within Statistical Programming function. In addition to hands-on Programming, this position requires providing oversight and programming support and guidance for internal deliverables and regulatory submissions while ensuring conformance to CDISC standards and submission guidelines. Based on company needs, this position will be required to lead one or more early Phase or late phase studies/programs. Specific responsibilities include:
  • Effective collaborating with cross functional teams to provide programming timelines for various deliverables.
  • Provide SAS Programming technical support and guidance to programming team.
  • Oversight/participation in any internal/mock or regulatory authority audits.
  • Timeline and vendor management for deliverables, including submission-related activities, complying with regulatory standards (e.g., FDA 21 CFR Part 11, GxP).
  • Oversee the programming support for relevant deliverables, such as Investigator Brochures, publications, US and ex-US regulatory submissions, including CDISC compliant datasets (SDTM, ADaM) and data documentation, Reviewer's Guide, TLFs, Statistical Analysis Plans (study specific, ISS, ISE, Exposure-Response), blank and annotated CRFs, and actual patient CRFs.
  • Hands-on programming and management of in-house deliverables including but not limited to Dose Committee meetings, Board of Director meetings, Exploratory Analysis, etc.
  • Oversight and Verification Review of documents, spreadsheets, slides for in-house presentations and external publications.

Titles may vary based on candidate experience.
Required Skills, Experience and Education:
  • 14+ years of Statistical Programming experience with early or late phase oncology trial studies.
  • BS/BA degree or other suitable qualification with relevance to the field.
  • Experience leading one or more statistical programming contractors, and programming vendors.
  • Proficiency in providing hands-on SAS Programming support for production or validation of analysis datasets, tables, listings and figures.
  • Demonstrated ability to multi-task, prioritize options, anticipate challenges, and execute goals as a member of an interdisciplinary team is extremely important.

Preferred Skills:
  • A demonstrable record of strong leadership and teamwork.
  • Thrives in a collaborative team setting and is driven by a desire to deploy innovative approaches and technologies in a high energy environment.
  • Experience working in a small to mid sized biotech/pharma environment.
  • Experience collaborating on development of processes, SOPs and guidance documents for the Statistical Programming function.
    #LI-Hybrid #LI-DN1

The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role, level, and location. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training.
Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.
Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status.
Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com.
Base Pay Salary Range
$186,000-$233,000 USD
We are aware of recent recruitment scams in which individuals or organizations falsely represent themselves as being affiliated with Revolution Medicines. These scams may appear as false job advertisements or unsolicited contacts through communication or chat platforms, email, phone, or text message.
Please note that Revolution Medicines does not extend unsolicited employment offers and will never ask candidates to provide financial information, purchase equipment, or pay fees as part of the hiring process. All legitimate communication from Revolution Medicines will come from an official @revmed.com email address.
If you believe you've been contacted by someone impersonating a Revolution Medicines recruiter, please report it to careers@revmed.com so we can share these impersonations with our IT team for tracking and awareness.