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Remote Mathematical Programming Jobs in Connecticut

$139K - $168K/yr

Strong understanding of mathematical foundations of Machine Learning algorithms * Experience of ... LI-SS2 LI-REMOTE

$139K - $168K/yr

Strong understanding of mathematical foundations of Machine Learning algorithms * Experience of ... LI-SS2 LI-REMOTE

$139K - $168K/yr

Strong understanding of mathematical foundations of Machine Learning algorithms * Experience of ... LI-SS2 LI-REMOTE

$139K - $168K/yr

Strong understanding of mathematical foundations of Machine Learning algorithms * Experience of ... LI-SS2 LI-REMOTE

$139K - $168K/yr

Strong understanding of mathematical foundations of Machine Learning algorithms * Experience of ... LI-SS2 LI-REMOTE

$139K - $168K/yr

Strong understanding of mathematical foundations of Machine Learning algorithms * Experience of ... LI-SS2 LI-REMOTE

$139K - $168K/yr

Strong understanding of mathematical foundations of Machine Learning algorithms * Experience of ... LI-SS2 LI-REMOTE

$139K - $168K/yr

Strong understanding of mathematical foundations of Machine Learning algorithms * Experience of ... LI-SS2 LI-REMOTE

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Remote Mathematical Programming information

What is remote mathematical programming?

Remote mathematical programming involves solving mathematical optimization problems and developing algorithms while working from a location outside of a traditional office, often from home. Professionals in this field use mathematical models and computer programming to find optimal solutions for complex problems in areas like logistics, finance, engineering, and data science. Remote work allows mathematical programmers to collaborate with teams and clients globally, utilizing tools for communication, code sharing, and project management. This setup requires strong analytical skills, proficiency in programming languages like Python or MATLAB, and the ability to work independently.

What are some common challenges faced by professionals in remote mathematical programming roles, and how can they be addressed?

One of the main challenges in remote mathematical programming is effective communication, especially when collaborating on complex models with team members in different locations. Ensuring clarity in documentation and maintaining regular check-ins can help mitigate misunderstandings. Another challenge is staying updated with the latest mathematical optimization tools and software, as advancements happen rapidly; dedicating time for continuous learning can be invaluable. Additionally, remote professionals may face difficulties in accessing high-performance computing resources, so it's important to familiarize yourself with cloud-based solutions provided by your organization.

What are the key skills and qualifications needed to thrive as a remote mathematical programmer?

To excel as a Remote Mathematical Programmer, you need a strong background in mathematics, optimization theory, and programming, often supported by a degree in mathematics, computer science, or engineering. Familiarity with technical tools like Python, MATLAB, R, and mathematical optimization libraries such as Gurobi or CPLEX is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication skills are valuable soft skills in this role. These competencies are crucial for designing efficient algorithms, collaborating across remote teams, and delivering accurate solutions to complex mathematical challenges.
What are popular job titles related to Remote Mathematical Programming jobs in Connecticut? For Remote Mathematical Programming jobs in Connecticut, the most frequently searched job titles are:
What cities in Connecticut are hiring for Remote Mathematical Programming jobs? Cities in Connecticut with the most Remote Mathematical Programming job openings:
Infographic showing various Remote Mathematical Programming job openings in Connecticut as of August 2026, with employment types broken down into 1% Internship, 77% Full Time, 13% Part Time, 4% Temporary, 4% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Manager, Clinical Programming (Remote)

Penfield Search Partners

Fairfield, CT • On-site, Remote

Other

Posted 20 days ago


Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Position Summary We are seeking an experienced Senior Clinical Programmer to support clinical development programs by delivering high-quality programming solutions for medical monitoring, data management, and statistical programming activities. The ideal candidate has strong expertise in CDISC standards, SDTM dataset development, and modern programming tools including SAS and R. This role partners closely with cross-functional teams to develop efficient, compliant, and scalable programming solutions that support ongoing clinical trials

Key Responsibilities Provide programming support for medical monitoring, data management, and statistical programming activities across clinical studies. Develop specifications for SDTM dataset creation in accordance with CDISC SDTM Implementation Guide (SDTM IG). Program, validate, and maintain CDISC-compliant SDTM datasets.

Create and maintain annotated CRFs (aCRFs) aligned with SDTM specifications. Generate outputs and listings to support medical monitoring, data review, statistical endpoint monitoring, and data management activities. Develop, enhance, and maintain SAS macros, R functions, and other reusable programming utilities.

Design, develop, test, and implement programming solutions to address complex business and study requirements. Ensure programming deliverables meet quality standards, timelines, and regulatory expectations. Collaborate effectively with cross-functional teams including Biostatistics, Data Management, Clinical Operations, and Medical Monitoring.

Manage multiple projects simultaneously while delivering high-quality work within established timelines. Qualifications Bachelor's degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related discipline (or equivalent experience). Experience programming in the pharmaceutical, biotechnology, or related regulated industry preferred.

Advanced programming proficiency in SAS, R, and SQL. Strong working knowledge of CDISC standards, including SDTM and annotated CRFs. Experience with JReview is highly preferred.

Experience with Shiny, Pharmaverse, and R Markdown is preferred. Familiarity with programming languages such as Python, VBA, or C++ is a plus. Excellent analytical, problem-solving, and communication skills.

Ability to work independently while collaborating effectively within cross-functional teams. Strong organizational skills with the ability to prioritize multiple assignments and meet deadlines. Preferred Experience Experience supporting medical review or clinical data review activities.

Experience developing reusable programming utilities and automation tools. Familiarity with regulatory submission standards and clinical trial data workflows. Experience working in a fast-paced clinical development environment.