1

Manager Statistical Programming Jobs in Maine (NOW HIRING)

D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely ... project managers, and faculty experts. • Willingness to participate in client meetings in a ...

Required : • Master's degree in Computer Science, Engineering, Applied Mathematics, Statistics ... project managers, and faculty experts. • Willingness to participate in client meetings in a ...

ME · On-site

$110K - $190K/yr

Bachelor's degree in Business Management, Statistics, Computer Science, Engineering, Mathematics or related field is required. Registration Required * Securities Licenses are a plus but not required.

Sr. Manufacturing Automation Engineer

Bradley, ME · On-site

$92K - $125K/yr

This will be reviewed periodically and is subject to change by management. RESPONSIBILITIES: • ... Proficiency in mathematical concepts such as ANSI/AQL, probability, and statistics. • Technical ...

Process Engineer

Saco, ME · On-site

$75K - $130K/yr

Troubleshoot production and equipment issues using structured problem-solving and statistical tools ... Adaptability and capacity to manage real-time issues in a fast-paced manufacturing or production ...

WSP brings global expertise in power delivery, power generation, and program management-anchored by ... location data, statistical documentation, engineering studies and surveys, and construction.

WSP brings global expertise in power delivery, power generation, and program management-anchored by ... location data, statistical documentation, engineering studies and surveys, and construction.

Clerk III Jobs

Kittery, ME · On-site

$15.75 - $19.50/hr

In addition, support/perform specific Life Cycle Engineering Management and technical functions ... statistical reports for accuracy and completeness, and handling and adjusting complaints. May also ...

$14.75 - $18.50/hr

In addition, support/perform specific Life Cycle Engineering Management and technical functions ... statistical reports for accuracy and completeness, and handling and adjusting complaints. May also ...

Showing results 41-60

Manager Statistical Programming information

See Maine salary details

$81.8K

$142.6K

$241.1K

How much do manager statistical programming jobs pay per year?

As of Aug 22, 2026, the average yearly pay for manager statistical programming in Maine is $142,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $154,900.00 per year, depending on experience, location, and employer.

What is a manager statistical programming?

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 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 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 popular job titles related to Manager Statistical Programming jobs in Maine?

For Manager Statistical Programming jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Manager Statistical Programming jobs in Maine look for?

The top searched job categories for Manager Statistical Programming jobs in Maine are:

What cities in Maine are hiring for Manager Statistical Programming jobs?

Cities in Maine with the most Manager Statistical Programming job openings:

Infographic showing various Manager Statistical Programming job openings in Maine as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $142,607 per year, or $68.6 per hour.

Full-time

Re-posted 28 days ago


Job description

Job Summary:
Northeastern University is seeking a Data Scientist for a full-time, one-year term appointment at their Roux Institute in Portland, Maine. The role focuses on supporting the development and delivery of AI and data science solutions, involving data analysis, feature engineering, model development, and collaboration with senior professionals in the field.
Responsibilities:
• Perform data cleaning, exploratory data analysis (EDA), and feature engineering.
• Train, evaluate, and compare machine learning models under supervision.
• Assist with model validation, performance monitoring, and documentation.
• Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.
• Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
• Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
• Willingness to participate in client meetings in a supporting role.
Qualifications:
Required:
• Master’s degree (required) or Ph.D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field.
• 0–2 years of industry, research, or applied project experience in data science or machine learning.
• Experience gained through internships, co-ops, academic research, or applied capstone projects is acceptable.
• Solid understanding of statistical methods, regression, hypothesis testing, and basic experimental design.
• Hands-on experience with classical machine learning methods such as linear/logistic regression, decision trees, and gradient boosting.
• Familiarity with deep learning concepts and modern architectures (e.g., convolutional neural networks or transformers); deep specialization is not required.
• Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn).
• Working knowledge of SQL and relational databases.
• Familiarity with at least one ML or deep learning framework (e.g., PyTorch, TensorFlow, HuggingFace).
• Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
• Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
• Willingness to participate in client meetings in a supporting role.
• Awareness of ethical AI principles including fairness, transparency, and responsible model use.
• Willingness to follow established governance, documentation, and review practices.
• Strong curiosity and motivation to learn new tools, techniques, and AI methods.
• Openness to feedback and mentorship.
• Ability to manage assigned tasks, meet deadlines, and maintain high-quality work.
• Proactive attitude and willingness to take increasing responsibility over time.
Preferred:
• Industry experience is preferred.
• Exposure to NLP, computer vision, or speech processing through coursework or academic/industry projects.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Understanding of software development best practices such as version control (Git) and Agile workflows.
Company:
Founded in 1898, Northeastern is a global research university with a distinctive, experience-driven approach to education and discovery. Founded in 1898, the company is headquartered in Boston, USA, with a team of 5001-10000 employees. The company is currently Late Stage.