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Remote Open Source Intelligence Jobs in Connecticut

Oscar Health

Director, Internal Audit

Hartford, CT · Remote

$180K - $236K/yr

This is a remote position, open to candidates who reside in: Hartford, CT. You will be fully remote ... Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial ...

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All JobsOpen Source Intelligence JobsRemote Open Source Intelligence JobsRemote Open Source Intelligence Jobs in Connecticut

Remote Open Source Intelligence information

See Connecticut salary details

$43.3K

$99.5K

$137K

How much do remote open source intelligence jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote open source intelligence in Connecticut is $99,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $112,700.00 per year, depending on experience, location, and employer.

What is a remote open source intelligence?

A Remote Open Source Intelligence (OSINT) job involves gathering, analyzing, and interpreting publicly available information from various online sources to support investigations, security assessments, or business intelligence. OSINT professionals work remotely to collect data from websites, social media, forums, and public records, often using specialized tools and techniques. These roles are common in cybersecurity, law enforcement, corporate security, and competitive intelligence. Strong analytical skills, critical thinking, and knowledge of digital research methods are essential for success in this field.

What are the key skills and qualifications needed to thrive in remote open source intelligence?

To excel as a Remote Open Source Intelligence (OSINT) professional, you need strong analytical skills, expertise in research methodologies, and a background in intelligence or cybersecurity, often supported by relevant degrees or certifications such as GIAC Open Source Intelligence (GOSI) or similar. Familiarity with OSINT tools like Maltego, Shodan, and various data mining or visualization platforms is highly beneficial. Excellent written communication, critical thinking, and discretion are important soft skills for delivering clear and actionable reports in sensitive environments. These competencies ensure you can effectively collect, analyze, and communicate open-source information to support decision-making and mitigate risks in diverse organizational settings.

What are some common challenges faced by remote open source intelligence professionals?

Remote Open Source Intelligence professionals often encounter challenges such as verifying the credibility of vast amounts of publicly available information and staying updated on rapidly evolving online platforms and tools. They must develop effective strategies for filtering out misinformation and protecting their own digital footprints while working online. Additionally, collaborating with cross-functional teams and adapting to the specific intelligence needs of different clients or projects can be demanding but rewarding. Successfully managing these challenges is key to ensuring the intelligence provided is relevant, accurate, and actionable for organizational goals.

What are the most commonly searched types of Open Source Intelligence jobs in Connecticut?

The most popular types of Open Source Intelligence jobs in Connecticut are:

What are popular job titles related to Remote Open Source Intelligence jobs in Connecticut?

For Remote Open Source Intelligence jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Remote Open Source Intelligence jobs in Connecticut look for?

The top searched job categories for Remote Open Source Intelligence jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Open Source Intelligence jobs?

Cities in Connecticut with the most Remote Open Source Intelligence job openings:

Remote Open Source Intelligence jobs near you
Infographic showing various Remote Open Source Intelligence job openings in Connecticut as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $99,546 per year, or $47.9 per hour.

Senior Manager, Statistical Programming (Remote)

Penfield Search Partners

Fairfield, CT • On-site, Remote

Full-time

Posted 5 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.