... or Associate Professor position. The department seeks candidates with research expertise and ... Optimization, statistical learning theory, inverse problems, uncertainty quantification, dynamical ...
... or Associate Professor position. The department seeks candidates with research expertise and ... Optimization, statistical learning theory, inverse problems, uncertainty quantification, dynamical ...
The role of self-motion induced sensory statistics in visual perception using a video-audio sensory ... Programming in Python and/or Matlab. * Electrophysiology, calcium imaging, microstimulation.
The role of self-motion induced sensory statistics in visual perception using a video-audio sensory ... Programming in Python and/or Matlab. * Electrophysiology, calcium imaging, microstimulation.
Associate Statistical Programmer information
See Ithaca, NY salary details
$81.5K - $95.9K
3% of jobs
$95.9K - $110.3K
10% of jobs
$120.1K is the 25th percentile. Wages below this are outliers.
$110.3K - $124.8K
18% of jobs
The median wage is $139.2K / yr.
$124.8K - $139.2K
19% of jobs
$151.7K is the 75th percentile. Wages above this are outliers.
$139.2K - $153.6K
29% of jobs
$153.6K - $168K
10% of jobs
$168K - $182.4K
12% of jobs
$182.4K - $196.9K
0% of jobs
$196.9K - $211.3K
0% of jobs
$211.3K - $225.7K
0% of jobs
$225.7K - $240.1K
0% of jobs
$81.5K
$142K
$240.1K
How much do associate statistical programmer jobs pay per year?
As of Aug 18, 2026, the average yearly pay for associate statistical programmer in Ithaca, NY is $142,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,500.00 and $154,300.00 per year, depending on experience, location, and employer.
What is an associate statistical programmer?
An Associate Statistical Programmer is an entry-level professional who assists in the programming and analysis of clinical trial data, primarily within the pharmaceutical or biotechnology industries. They use statistical software, such as SAS or R, to create, validate, and maintain datasets, tables, listings, and figures required for clinical study reports. Their work supports biostatisticians and clinical teams in ensuring data accuracy and regulatory compliance. This role is ideal for those with a background in statistics, mathematics, or computer science, looking to start a career in clinical data analysis.
How does an associate statistical programmer typically collaborate with biostatisticians and data managers in clinical research projects?
As an Associate Statistical Programmer, you will frequently collaborate with biostatisticians to understand statistical analysis plans and translate them into clear programming specifications. You’ll also work closely with data managers to ensure data integrity and resolve any data discrepancies before analysis. Effective communication and teamwork are essential, as you’ll often participate in project meetings, provide programming support, and help deliver high-quality datasets and reports under tight timelines. This collaborative environment is key to ensuring accurate and timely clinical trial results.
What are the key skills and qualifications needed to thrive as an associate statistical programmer, and why are they important?
To thrive as an Associate Statistical Programmer, you need a solid background in statistics, programming (especially SAS or R), and familiarity with clinical trial data, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software (such as SAS, R, or Python), CDISC standards, and data management tools is essential, and certifications in SAS programming can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills help you collaborate with clinical teams and ensure data quality. These skills and qualities are vital for delivering accurate statistical analyses that support regulatory submissions and evidence-based decision-making in clinical research.
What is the difference between Associate Statistical Programmer vs Statistical Programmer?
| Aspect | Associate Statistical Programmer | Statistical Programmer |
|---|---|---|
| Required Credentials | Bachelor's degree in statistics, mathematics, or related field; some roles may require basic programming skills | Bachelor's or master's degree; more experience in programming and statistical analysis |
| Work Environment | Entry-level, supporting senior programmers; often in clinical research or pharmaceutical companies | More independent, handling complex analyses; similar industry settings |
| Employer & Industry Usage | Common in clinical trials, pharmaceutical, and biotech companies | Used across similar industries, often as a step up from associate roles |
The main difference between an Associate Statistical Programmer and a Statistical Programmer lies in experience and responsibility level. Associate roles are typically entry-level, focusing on supporting tasks under supervision, while Statistical Programmers handle more complex analyses independently. Both roles are vital in clinical research and biotech industries, with the associate position serving as a stepping stone to more advanced programming roles.
What cities near Ithaca, NY are hiring for Associate Statistical Programmer jobs?
Cities near Ithaca, NY with the most Associate Statistical Programmer job openings:
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 29 days ago
Job description
The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.
At Howard University, we prioritize well-being and professional growth.
Here is what we offer:
- Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
- Work-Life Balance: PTO, paid holidays, flexible work arrangements
- Financial Wellness: Competitive salary, 403(b) with company match
- Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
- Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture
Join Howard University and thrive with us!
https://hr.howard.edu/benefits-wellness
The Department of Mathematics in the College of Arts and Sciences at Howard University invites applications for a full-time, tenure-track Assistant or Associate Professor position. The department seeks candidates with research expertise and teaching interests in mathematics enhanced artificial intelligence (AI), with applications to radiology, endocrinology, and related biomedical domains. The anticipated start date is August 2026.
This position is part of the Provost's Artificial Intelligence Cluster Hire Initiative and is embedded within the interdisciplinary cluster "Advancing Health through Mathematics-Enhanced AI for Radiology and Endocrinology", jointly led by the College of Arts and Sciences and the College of Medicine. The cluster aims to strengthen university-wide research capacity by recruiting faculty whose scholarship advances mathematical foundations, modeling, and computational methodologies that support AI-driven biomedical discovery, while fostering
collaboration across disciplines.
SUPERVISORY AUTHORITY: The successful candidate is expected to demonstrate a strong commitment to excellence in teaching, mentoring, and service. The faculty member will contribute to the growth of the Department of Mathematics' research and academic programs in data science, applied mathematics, and AI, and will actively participate in interdisciplinary initiatives across the university.
NATURE AND SCOPE:
From a mathematics-centered perspective, this position emphasizes the development and application of mathematical theory, statistical modeling, and computational methods that underpin modern AI and machine learning approaches in biomedical sciences. The cluster seeks to advance quantitative frameworks for imaging, inference, prediction, and decision-making in complex biological and clinical systems. The successful candidate will contribute to an interdisciplinary academic environment through research, teaching, mentorship, and collaboration. Responsibilities include leading independent and collaborative research programs at the interface of mathematics, AI, and biomedical
imaging; contributing to undergraduate and graduate curriculum development; mentoring students; and conducting research that addresses health disparities and promotes inclusive excellence.
PRINCIPAL ACCOUNTABILITIES:
Conduct high-quality, externally visible research in applied mathematics, machine learning, and artificial intelligence, with relevance to biology and medicine.
Develop and sustain an externally funded research program, including collaborative interdisciplinary projects.
Teach undergraduate and graduate courses in mathematics, data science, machine learning, and artificial intelligence.
Supervise and mentor undergraduate and graduate students, postdoctoral scholars, and junior researchers.
Collaborate with faculty across mathematics, medicine, and related disciplines to advance AI-enabled quantitative methods for biomedical applications.
CORE COMPETENCIES:
The Department of Mathematics particularly encourages applicants with expertise in one or more of the following areas:
Mathematical Foundations of AI and Machine Learning:
Optimization, statistical learning theory, inverse problems, uncertainty quantification, dynamical systems, or computational mathematics relevant to AI.
AI and Data-Driven Modeling in Biomedicine:
Development of mathematical and computational methods for imaging, neuroscience, endocrinology, diabetes, or other data-intensive biomedical domains.
Interdisciplinary Research and Collaboration:
Demonstrated ability to collaborate with clinicians, biologists, or engineers to develop mathematically grounded AI/ML approaches for complex biological and medical datasets.
MINIMUM REQUIREMENTS:
Ph.D. in Mathematics, Applied Mathematics, Computer Science, Data Science, Artificial Intelligence, or a closely related field.
Strong research record in mathematics-driven AI or ML, with applications to biology or medicine, evidenced by peer-reviewed publications.
Demonstrated ability or clear potential to secure external research funding.
Evidence of excellence or strong potential in undergraduate and graduate teaching.
Commitment to interdisciplinary collaboration, student mentorship, and advancing diversity, equity, and inclusion in teaching and research.
Compliance Salary Range Disclosure
Compensation Range: $135,000 - $150,000