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Remote Director Statistical Programming Jobs in California

Autodesk

Director, IAM Engineering

San Francisco, CA · On-site +1

Reporting to the Senior Director, Information Security Engineering , this leader will own the IAM ... This role is remote-friendly within North America. For those who prefer in-office or hybrid work ...

GatherUp

Lead Data Scientist (AI/ML)

Walnut Creek, CA · On-site +1

$140K - $180K/yr

Data Science, Computer Science, Statistics, Engineering, or related); experience in and passion for ... We are a remote-friendly company, but ideally this role is hybrid based in our office in Walnut ...

PDF Solutions

Inspection Application Engineer

Milpitas, CA · On-site +1

$110K - $130K/yr

Degrees, such as statistics or IT-related discipline may work, depending on work experience. Skill ... Ability to work with remote development support to resolve issues at customer site for apps work in ...

Huckleberry Labs

Creative Director (Remote)

Los Angeles, CA · Remote

$160K - $195K/yr

... and engineered to perform. You understand that great design serves a business purpose. You will ... Experience working in a fast-paced, remote startup environment where cross-functional alignment is ...

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Remote Director Statistical Programming information

What are the key skills and qualifications needed to thrive as a Remote Director Statistical Programming, and why are they important?

To thrive as a Remote Director Statistical Programming, you need advanced expertise in statistical programming (typically SAS and R), a strong background in biostatistics or related fields, and significant experience in clinical trial data analysis, usually supported by a relevant degree. Mastery of programming tools, regulatory submission standards (such as CDISC SDTM/ADaM), and familiarity with data management systems are crucial, along with relevant certifications being advantageous. Leadership, strategic thinking, and exceptional communication skills help you effectively manage teams and collaborate across global, cross-functional groups. These skills ensure accurate, regulatory-compliant analyses that drive successful clinical development and organizational goals.

How does a Remote Director of Statistical Programming typically collaborate with cross-functional teams while managing geographically dispersed staff?

A Remote Director of Statistical Programming often leads a team of programmers who may be distributed across different locations and time zones. Collaboration with cross-functional teams—such as biostatisticians, data managers, and clinical operations—relies heavily on clear communication through virtual meetings, shared project management tools, and regular status updates. The director is responsible for aligning programming deliverables with project timelines, ensuring quality standards, and fostering a cohesive team environment despite the remote setup. Strong leadership and proactive engagement are essential to overcome challenges like time zone differences and maintain alignment with overall project goals.

What is a Remote Director of Statistical Programming?

A Remote Director of Statistical Programming is a senior-level professional who oversees statistical programming teams and projects, often within the pharmaceutical, biotechnology, or clinical research industries, while working remotely. They are responsible for ensuring the accuracy and efficiency of statistical data analysis and reporting, particularly for clinical trials and regulatory submissions. This role involves managing programmers, developing programming standards, ensuring compliance with regulatory requirements, and collaborating closely with statisticians, data managers, and project leaders. Working remotely, they utilize digital tools to lead distributed teams and maintain high-quality data deliverables. Their work is critical in transforming raw clinical data into meaningful insights for decision-making and regulatory approval.

What is the difference between Remote Director Statistical Programming vs Remote Statistical Programming Manager?

AspectRemote Director Statistical ProgrammingRemote Statistical Programming Manager
CredentialsTypically requires advanced degrees (e.g., MS, PhD) and extensive experienceRequires similar degrees and experience, but slightly less senior
Work EnvironmentLeadership role overseeing multiple teams, strategic planningManages teams directly, focuses on project execution
Industry UsageCommon in large pharma and biotech companiesFound in similar settings, often as a mid-level leadership role
Search & Comparison IntentOften searched by senior professionals or recruitersMore frequently searched by mid-level managers or job seekers

The Remote Director Statistical Programming is a senior leadership role overseeing multiple teams and strategic initiatives, requiring extensive experience and advanced degrees. In contrast, the Remote Statistical Programming Manager focuses on managing project teams and day-to-day operations. Both roles are vital in pharmaceutical and biotech industries, but they differ mainly in seniority and scope of responsibilities.

What are popular job titles related to Remote Director Statistical Programming jobs in California? For Remote Director Statistical Programming jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Director Statistical Programming jobs in California look for? The top searched job categories for Remote Director Statistical Programming jobs in California are:
What cities in California are hiring for Remote Director Statistical Programming jobs? Cities in California with the most Remote Director Statistical Programming job openings:
Remote Director Statistical Programming jobs near you
Sr. Software Engineer, ML Platform, tvScientific

Sr. Software Engineer, ML Platform, tvScientific

Pinterest

San Francisco, CA • Remote

$144.30K - $190.30K/yr

Other

Posted 4 days ago

Job description

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are looking for an experienced ML Platform Engineer to join a team at the intersection of sysops, systems programming, architecture, and large-scale deployments. Our platform underpins tvScientific's distributed real-time bidding agent and ML training system that together drive $100M+ in annual revenue, giving you the opportunity to work on some of the most business-critical infrastructure in the company.

As part of our team, you'll think about datasets in terms of bytes, microseconds, and serialization formats, and help define the next generation of our training and serving stack. A flagship initiative for the coming year is building a Kubernetes + Ray backend for our model training pipelines, setting a new bar for scale and reliability. If topics like data locality, observability and anomaly detection, distributed databases, high-performance computing, array programming languages, data security, and reproducibility excite you (even if it's just a subset), your expertise could play a key role in shaping tvScientific's ML innovation in 2026 and beyond.

What You'll Do

  • Scale the decisionmaking process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments
  • Improve the developer experience for the data science team
  • Upgrade our observability tooling
  • Serve as a technical lead and mentor to the team
  • Make every deployment smooth as our infrastructure evolves.

What We're Looking For

  • Deep understanding of Linux
  • Excellent writing skills
  • A systems-oriented mindset
  • Experience in high-performance software (RTB, HFT, etc.)
  • Software engineering experience + reliability (e.g. CI/CD) expertise
  • Strong observability instincts
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
  • Degree in a relevant field such as computer science, statistics, engineering, or equivalent experience
  • Nice-To-Haves
    • Reverse-engineering experience
    • Terraform, EKS, or MLOps experience
    • Python, Scala, or Zig experience
    • NixOS experience
    • Adtech or CTV experience
    • Experience deploying a distributed system across multiple clouds
    • Experience in hard real-time low-latency (<10 ms) environments

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.


Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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