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Remote Data Collection Jobs in Ridgefield, CT (NOW HIRING)

Directive

Meta Strategist (Remote US)

Stamford, CT · Remote

Oversee and lead a collection of Social Media accounts * Serve as direct support to client contacts ... Ability to analyze campaign performance data using tools like Google Analytics, GA4, Excel, or ...

Directive

Paid Social Manager (Remote US)

Stamford, CT · Remote

Oversee and lead a collection of Social Media accounts * Serve as direct support to client contacts ... Ability to analyze campaign performance data using tools like Google Analytics, GA4, Excel, or ...

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How much do remote data collection jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for remote data collection in Ridgefield, CT is $25.21, according to ZipRecruiter salary data. Most workers in this role earn between $23.22 and $25.87 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Data Collection position, and why are they important?

To excel in Remote Data Collection, candidates typically need strong analytical abilities, attention to detail, and proficiency in data entry, often supported by experience with spreadsheets or survey software. Familiarity with data management tools such as Microsoft Excel, Google Forms, or specialized data collection platforms is common, and some roles may require training in data privacy or security. Excellent time management, self-motivation, and clear virtual communication enable success in a remote environment. These skills ensure accurate, reliable data collection while maintaining productivity and collaboration from a distance.

What does a typical workday look like for someone in Remote Data Collection?

A typical day in remote data collection involves gathering, entering, and validating data from various sources such as online surveys, databases, or client submissions. You may collaborate virtually with a team to ensure data accuracy, resolve discrepancies, and report progress. The role often requires managing multiple tasks independently and communicating findings or issues through digital platforms like email or project management tools. While work schedules can often be flexible, meeting deadlines and quality standards is crucial for overall project success.

What is a Remote Data Collection job?

A Remote Data Collection job involves gathering, organizing, and managing data from various sources without needing to be physically present at a specific location. This can include tasks such as conducting surveys, researching online databases, verifying information, or inputting data into digital systems. These roles are common in industries like market research, artificial intelligence training, and business analytics. Strong attention to detail, internet proficiency, and the ability to work independently are key skills for success in this role.

What are popular job titles related to Remote Data Collection jobs in Ridgefield, CT? For Remote Data Collection jobs in Ridgefield, CT, the most frequently searched job titles are:
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Remote Data Collection jobs near you
Associate Director, Biostatistics - Remote

Associate Director, Biostatistics - Remote

Penfield Search Partners

Fairfield, CT • On-site, Remote

Other

Posted 4 hours ago

Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Job Overview We are seeking a highly skilled and motivated Biostatistician to lead our biometrics function across multiple studies in one of the late-phase programs for cardiovascular drug development. As the AD Biostatistician, you will be the study lead, representing biometrics in cross functional team meetings. You will be responsible for discussing and shaping the clinical development plan, study design, endpoint selection, statistical analysis plan, and regulatory submission and publication strategy to support pursuant of precision medicine

This role involves overseeing CROs and collaborating with cross-functional teams to deliver high-quality analysis outputs and interpret results. Essential Duties And Responsibilities Collaborate with clinical, regulatory, medical affairs, and other teams to ensure cohesive and integrated project strategies. Contribute to clinical protocol development and study reports, including authoring of the Statistics section and reviewing of other sections by applying statistical principles.

Author or review statistical analysis plans for clinical trials and for integrated summaries of safety/effectiveness (ISS/ISE), and author or oversee the development of shells for tables, figures and listings. Review case report form (CRF) designs to ensure data collection meet the requirements of statistical analyses. Provide statistical input to data monitoring committee (DMC) charters.

Oversee the CROs or internal teams to deliver high-quality and timely analysis outputs and interpret the results. Manage statistical activities in support of NDA/MAA or other regulatory submissions. Address statistical questions/comments from FDA and other regulatory agencies.

Support and contribute to the preparation of publications, including manuscripts, posters and oral presentations. Contribute or lead standardization and process improvement efforts for Biostatistics and contributes to cross-functional process improvement efforts. Provide guidance and oversight to ensure compliance with regulatory standards and best practices.

Mentor junior statisticians. Qualifications And Preferred Skills PhD in Statistics, Biostatistics, or a related scientific field with 7+ years of experience, or MS with 10+ years of experience in clinical trials, drug development, the pharmaceutical industry, or healthcare. Expertise in applying knowledge of general and cutting edge statistical / clinical trials methodology to solve complex statistical problems in the clinical development area and ensure alignment with regulatory agencies and industry standards.

Knowledgeable of machine learning approaches for classification and predictive modeling. Excellent communication and presentation skills, with the ability to convey complex statistical concepts to non-statisticians. Strong knowledge and hands-on experience of statistical software (SAS, R or Python) and proficiency in implementation of advanced analytical methods especially for data visualization.

Experience in managing CROs and collaborating with cross-functional teams. Experience with NDAs, and MAA's is highly desired. Experience with cardiovascular drug development and digital health data or real-world data is preferred.

Demonstrated ability to work independently and as part of a team in a fast-paced, dynamic environment.

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