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Remote Mathematical Programming Jobs in Bridgeport, CT

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Remote Mathematical Programming information

See Bridgeport, CT salary details

$84.9K

$129.2K

$173.9K

How much do remote mathematical programming jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote mathematical programming in Bridgeport, CT is $129,161.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $145,900.00 per year, depending on experience, location, and employer.

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 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 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 job categories do people searching Remote Mathematical Programming jobs in Bridgeport, CT look for?

The top searched job categories for Remote Mathematical Programming jobs in Bridgeport, CT are:

Remote Mathematical Programming jobs near you

Senior Manager, Statistical Programming (Remote)

Fairfield, CT • On-site, Remote

Penfield Search Partners
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Penfield Search Partnersexternal

Full-time

Posted 11 days ago

Job description

Contact: Lauren Scutero -
No 3rd party candidates
The Senior Manager of Statistical Programming will be responsible for leading Statistical Programming activities. It involves hands-on implementation of statistical analyses using SAS/R, as well as performing quality reviews of deliverables, both for in-house analyses and outsourced programming tasks.

This position serves as a critical bridge between Biostatistics and Clinical Data Management (CDM), ensuring the development of CRFs and the delivery of high-quality clinical data. Additionally, this position will play an important role in establishing SOPs and programming standards, and modernizing statistical reporting with open-source tools.


Essential Duties and Responsibilities
Key Project Responsibilities:

  • Provide programming leadership and oversee study to compound-level programming deliverables in collaboration with the lead biostatistician and cross-functional teams.
  • Serve as the lead programmer to review the SAP, Data Presentation Plan, and Table Shells to align with project objectives and ensure clarity and completeness of programming assumptions and requirements.
  • Lead programming team to produce and/or validate SDTM, ADaM, and TLF for CSR and regulatory requests, publication needs, and ad-hoc analyses.
  • Manage CROs and contractors, ensuring compliance, quality of deliverables, timelines, and budget adherence.
  • Collaborate with biostatisticians and clinical development colleagues to develop/review TLF shells, SDTM, and ADaM specifications.
  • Work closely with Data Management and Biostatistics teams to ensure the accuracy of final databases, analyses, and reports.
  • Develop company tools, such as R packages, macros, and interactive data dashboards (e.g., with Shiny), to enhance the efficiency and capacity of the Statistical Programming team.
  • Develop robust programs to create define.xml. Lead the NDA eSubmission package preparation.

Initiative Responsibilities:

  • Under the guidance of the Head of Statistical Programming and Compound Lead, implement innovative strategies and technologies to enhance programming processes.
  • Working with the manager, establish Statistical Programming standards and deploy programming strategies, specifications, and programmed analyses.
  • Proactively plan, implement, and identify issues/risks and provide remediation strategies to improve programming capability.


Qualifications and Preferred Skills 
Education:

  • Master’s degree in Statistics/Biostatistics, Mathematics, Computer Science, or a related field.

Experience and Skill Set:

  • Minimum of 6 years of statistical programming experience in the pharmaceutical, biotech, or CRO clinical trial environment.
  • Advanced SAS and R programming skills, with experience using Git for version control required. Extensive hands-on experience with SDTM, ADaM, and TLF programming.
  • Python programming experience is desirable.
  • Proficient knowledge in the implementation of CDISC standards (SDTM, ADaM) and regulatory submission requirements.
  • Good knowledge of the drug development process, study design, statistical methodology, regulatory guidance, statistical concepts, and medical terminology.
  • Broad expertise in statistical programming and in developing computing strategies.
  • In-depth understanding of CDISC standards including SDTM and ADaM models and extensive experience with their implementation in clinical trials.
  • Knowledge of data validation, define.xml generation using Pinnacle 21.
  • Results-oriented, with proven problem-solving skills and a strong interest in continued learning.
  • Excellent communication and collaboration skills, with the ability to work closely with cross-functional teams.
  • Experience managing outsourced programming activities and overseeing deliverables from CROs and contractors.
  • Adaptable and able to thrive in a fast-paced, startup environment while managing multiple priorities effectively.
  • Experience with regulatory audits and inspections (e.g., FDA, PMDA, NMPA, EMA) is a strong advantage.