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Director Sas Programmer Jobs in California (NOW HIRING)

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Showing results 21-40

Director Sas Programmer information

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$78

How much do director sas programmer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for director sas programmer in California is $48.36, according to ZipRecruiter salary data. Most workers in this role earn between $33.94 and $60.72 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Sas Programmer jobs in California?

The most popular types of Sas Programmer jobs in California are:

What cities in California are hiring for Director Sas Programmer jobs?

Cities in California with the most Director Sas Programmer job openings:

Director of Biostatistics

micro1 AI

San Bernardino, CA • Remote

$60 - $100/hr

Part-time

Posted 23 days ago


Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI benchmarking. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and author expert-level evaluation tasks simulating real-world biostatistics challenges, such as clinical trial analysis, regulatory submission reviews, and observational study assessments.
  2. Source, construct, and curate authentic datasets including trial data, patient records, and protocol documents for task use.
  3. Define correct methodological solutions and defensible clinical interpretations for each evaluation scenario.
  4. Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning.
  5. Ensure all tasks reflect the complexity and depth of real-world biostatistics practice, avoiding simplified or textbook-style examples.
  6. Collaborate with project stakeholders to ensure deliverables align with regulatory and scientific standards.


Preferred Qualifications

  1. MS or PhD in biostatistics, statistics, or epidemiology.
  2. 4+ years of experience in pharmaceutical, contract research, hospital, or academic medical contexts.
  3. Demonstrated command of clinical study design, regulatory documentation, and observational research methodologies.
  4. Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets.
  5. Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.
  6. Experience preparing submission-ready deliverables for regulatory agencies (e.g., FDA, EMA) is a plus.
  7. Excellent written communication skills and ability to author detailed grading rubrics and technical documentation.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.