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Manager Statistical Programming Jobs in Bothell, WA

Principal Data Analyst - D&D

Renton, WA · On-site

$160.30K - $240.50K/yr

Proficiency in SQL and statistical programming in Python or R, plus strong Excel skills for ... Strong partner management and communication skills; ability to drive alignment across Product ...

Senior Research Epidemiologist

Seattle, WA · On-site +1

$142K - $180K/yr

Project Management * Serve as a primary research point of contact for customers, including life ... Hands-on experience with statistical programming (R and/or Python). * Track record of peer-reviewed ...

A strong focus on integration, problem solving, and analytical and/or statistical methods will help ... Manages employees performing quality engineering and technical activities on or in support of ...

737 Quality Engineering Program Manager

Renton, WA · On-site

$131.75K - $178.25K/yr

A strong focus on integration, problem solving, and analytical and/or statistical methods will help ... Manages employees performing quality engineering and technical activities on or in support of ...

737 Quality Engineering Program Manager

Renton, WA · On-site

$131.75K - $178.25K/yr

A strong focus on integration, problem solving, and analytical and/or statistical methods will help ... Manages employees performing quality engineering and technical activities on or in support of ...

A strong focus on integration, problem solving, and analytical and/or statistical methods will help ... Manages employees performing quality engineering and technical activities on or in support of ...

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that ... Build statistical models to identify patterns and trends in production testing data (telemetry ...

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Manager Statistical Programming information

See Bothell, WA salary details

$96.1K

$167.4K

$283K

How much do manager statistical programming jobs pay per year?

As of May 31, 2026, the average yearly pay for manager statistical programming in Bothell, WA is $167,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,100.00 and $181,900.00 per year, depending on experience, location, and employer.

What is a Manager Statistical Programming job?

A Manager Statistical Programming oversees a team of statistical programmers who support clinical trials and research by developing, validating, and maintaining statistical programs. They ensure compliance with regulatory requirements, manage project timelines, and collaborate with statisticians, data managers, and other stakeholders. This role requires strong programming skills in SAS or other statistical software, leadership abilities, and expertise in clinical data standards such as CDISC.

What are the key skills and qualifications needed to thrive in the Manager Statistical Programming position, and why are they important?

To excel as a Manager Statistical Programming, you need a solid background in statistics, programming (such as SAS, R, or Python), and experience with clinical trial data management, often supported by a degree in statistics, mathematics, or a related field. Familiarity with regulatory guidelines (e.g., FDA, ICH), data standards such as CDISC, and certifications in relevant programming languages or clinical data processes are highly beneficial. Strong leadership, project management, and effective communication skills are essential for guiding teams and collaborating with cross-functional departments. These skills enable the manager to deliver high-quality statistical programming deliverables, ensure regulatory compliance, and drive team performance in a deadline-driven environment.

What are the typical daily responsibilities of a Manager Statistical Programming?

As a Manager Statistical Programming, your daily responsibilities usually include overseeing a team of statistical programmers, coordinating the development and validation of statistical programs for clinical trial data analysis, and ensuring deliverables meet regulatory and company quality standards. You will often interact with biostatisticians, data managers, and clinical teams to align programming outputs with study goals. Additionally, you may review project timelines, allocate resources, mentor junior programmers, and contribute to process improvement initiatives. This multifaceted role requires balancing technical oversight with leadership and interdepartmental communication.
What are popular job titles related to Manager Statistical Programming jobs in Bothell, WA? For Manager Statistical Programming jobs in Bothell, WA, the most frequently searched job titles are:
What cities near Bothell, WA are hiring for Manager Statistical Programming jobs? Cities near Bothell, WA with the most Manager Statistical Programming job openings:
Infographic showing various Manager Statistical Programming job openings in Bothell, WA as of May 2026, with employment types broken down into 1% Internship, 25% Full Time, 70% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $167,433 per year, or $80.5 per hour.

Manager- Applied Sciences / Machine Learning

Microsoft AI

Redmond, WA • On-site

Full-time

Posted 29 days ago


Job description

Job Summary:
Microsoft AI is seeking a Manager-Applied Sciences/Machine Learning to lead their Core Recommendation and Content Generation team. This role involves guiding teams in building AI systems, influencing product direction, and delivering scalable solutions for user engagement across Microsoft platforms.
Responsibilities:
• Lead and grow a team of Applied Scientists and Machine Learning Engineers, including hiring, coaching, and developing talent across Applied Science and engineering.
• Define technical vision and strategy for recommendation systems, Artificial Intelligence Generated Content (AIGC), and LLM-powered content generation.
• Drive end-to-end execution across multiple initiatives, from ideation and design to production and iteration.
• Oversee system architecture and scalability, ensuring robust, efficient, and high-quality ML solutions in production.
• Partner cross-functionally with product, engineering, and leadership teams to align on priorities and deliver customer impact.
• Champion innovation in AIGC applications, ranking, and recommendation algorithms.
• Mentor and elevate the team, fostering a culture of technical excellence, collaboration, and continuous learning.
• Communicate progress, insights, and strategy to senior leadership and stakeholders.
Qualifications:
Required:
• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 3+ years of people management experience.
Preferred:
• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 8+ years of industry experience in software engineering and/or machine learning, with prior experience leading teams or technical leadership roles.
• Solid hands-on background in machine learning, including LLMs, NLP, or recommendation systems.
• Proven track record of delivering large-scale, production-grade ML systems.
• Experience leading or owning critical projects in recommendation systems or AIGC scenarios.
• Proficiency in programming languages such as C/C++, C#, Java, and/or Python.
• Demonstrated experience managing and growing ML teams, including performance management and career development.
• Solid expertise in deep learning frameworks such as TensorFlow or PyTorch.
• Experience with LLM fine-tuning, evaluation, and real-world product deployment.
• Experience leading projects through full product lifecycle, from concept to launch and iteration.
• Background in distributed systems and large-scale data processing.
• Solid foundation in data structures, algorithms, and system design.
• Experience with large-scale data analytics tools such as Spark.
Company:
Microsoft AI is a software development company. Founded in 2024, the company is headquartered in Redmond, USA, with a team of 5001-10000 employees. The company is currently Late Stage.