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Remote Automation Developer Jobs in New Haven, CT

While this is a full remote position, there is preference for candidates located in the Northern ... automation systems, including planning, coordination, and execution of new and retrofit designs.

This is a remote position. Candidates can be located anywhere in the US. This role is contributing ... and building automation. The scalable solutions aim to deliver significant sustainable and ...

If remote, candidates should be located near a major metro area. This role is contributing to the ... Lead crossfunctional execution across engineering, operations, supply chain, and sales to ...

This is a remote position for candidates based in the United States. This role is contributing to ... Bachelor's degree in Engineering, Business Administration, or related field (or equivalent ...

Remote Automation Developer information

See New Haven, CT salary details

$10

$52

$81

How much do remote automation developer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote automation developer in New Haven, CT is $52.37, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $60.19 per hour, depending on experience, location, and employer.

What is a remote automation developer?

A Remote Automation Developer is a professional who designs, develops, and maintains automated systems, scripts, or tools to streamline business processes, all while working remotely. They typically use programming languages and automation frameworks to create solutions that minimize manual intervention and improve efficiency. These developers often collaborate with teams through digital communication tools and may work across various industries, such as software development, IT operations, or business process automation.

What are the key skills and qualifications needed to thrive as a remote automation developer?

To thrive as a Remote Automation Developer, you need expertise in programming languages (such as Python, Java, or JavaScript), a solid understanding of automation frameworks, and experience with software development best practices, often supported by a degree in computer science or related certifications. Familiarity with automation tools like Selenium, Jenkins, or UiPath, and version control systems such as Git is typically required. Strong problem-solving skills, self-motivation, and clear communication are vital soft skills for collaborating effectively in a remote environment. These skills enable efficient automation of processes, reliable delivery of projects, and seamless teamwork across distributed teams.

What are some common challenges faced by remote automation developers, and how can they be addressed?

Remote Automation Developers often encounter challenges such as collaborating across different time zones, ensuring clear communication with distributed teams, and maintaining secure access to development environments. Overcoming these challenges typically involves using robust collaboration tools, establishing regular check-ins, and adhering to best practices for remote security and documentation. Building strong relationships with team members and proactively clarifying project requirements can also greatly enhance productivity and project outcomes.
Infographic showing various Remote Automation Developer job openings in New Haven, CT as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $108,926 per year, or $52.4 per hour.

Manager, Clinical Programming (Remote)

Penfield Search Partners

Fairfield, CT • On-site, Remote

Full-time

Re-posted 3 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.