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Remote Research Math Jobs in Bridgeport, CT (NOW HIRING)

BMG360

Media Analyst

Shelton, CT · On-site +1

$65K/yr

Hybrid Remote Role** BMG360 is looking for a talented, critical thinker, with a passion for ... Grow and expand existing relationships, while also providing research to sales team to help grow ...

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Remote Research Math information

What is a remote research math job?

Remote Research Math jobs involve conducting mathematical research, analysis, and problem-solving from a location outside of a traditional office or lab, typically via the internet. Professionals in these roles may work for universities, research institutions, or private companies, collaborating with teams and publishing findings remotely. Tasks can include developing mathematical models, analyzing data, and applying advanced math to solve real-world problems. These jobs require strong mathematical skills, self-motivation, and the ability to communicate findings effectively in a virtual environment.

What are the key skills and qualifications needed to thrive as a remote research mathematician?

To thrive as a Remote Research Mathematician, you need a strong background in advanced mathematics, analytical problem-solving, and typically a graduate degree in mathematics or a related field. Proficiency with mathematical software such as MATLAB, Mathematica, or Python, and familiarity with collaborative tools for remote teamwork are often required. Strong written communication, self-motivation, and critical thinking are crucial soft skills for effectively conducting and presenting independent research. These skills enable rigorous analysis, clear dissemination of findings, and successful collaboration in a remote research environment.

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

Remote research math professionals often encounter challenges such as collaborating effectively with team members across different time zones and maintaining clear communication on complex problems. To overcome these, it's essential to use collaborative digital tools, schedule regular video meetings, and document progress thoroughly. Additionally, setting structured working hours and frequent check-ins can help maintain momentum and foster a sense of teamwork, even when working independently. Proactively seeking feedback and sharing draft work also ensures alignment and productivity.

What is the difference between Remote Research Math vs Remote Data Analyst?

AspectRemote Research MathRemote Data Analyst
Required CredentialsAdvanced degrees in mathematics or related fieldsBachelor's or master's in statistics, data science, or related fields
Work EnvironmentResearch-focused, often academic or R&D settingsBusiness or tech industry, analyzing datasets
Employer & Industry UsageUniversities, research institutions, tech companiesCorporations, consulting firms, tech companies
Common Search & Comparison IntentUnderstanding research roles in mathAnalyzing data in business contexts

Remote Research Math involves advanced mathematical research, often in academic or R&D settings, requiring higher-level degrees. Remote Data Analysts focus on interpreting data to inform business decisions, typically with a bachelor's or master's degree. While both roles analyze data, Research Math emphasizes theoretical and complex problem-solving, whereas Data Analysts focus on practical data interpretation for organizations.

What job categories do people searching Remote Research Math jobs in Bridgeport, CT look for?

The top searched job categories for Remote Research Math jobs in Bridgeport, CT are:

Remote Research Math jobs near you

Principal Biostatistician - Medical Affairs (Remote)

Penfield Search Partners

Fairfield, CT • On-site, Remote

Full-time

Posted 8 days ago

Job description

We are partnering with a leading biopharmaceutical client seeking an experienced Principal Biostatistician to support its Medical Affairs Statistics, Epidemiology, and Real-World Evidence (RWE) organization. This individual will perform and validate statistical analyses in support of Medical Affairs initiatives while providing oversight of statistical and programming work conducted by external vendors as needed.

The Principal Biostatistician will collaborate closely with cross-functional Medical Affairs stakeholders on evidence-generation activities, including those incorporating real-world data and evidence. The role will provide statistical guidance on clinical and lifecycle management initiatives, advise on analytical strategies, and recommend appropriate methodological approaches to support integrated evidence generation and informed decision-making.

Essential Functions

  • Work collaboratively with other members of the Medical Affairs team to develop and provide scientifically sound analyses that answer questions to support and enhance publications and knowledge of company products.
  • Contribute to publication objectives including timelines, statistical and analytical requirements for publications and projects.
  • Develop, design, and oversee or perform post-hoc analyses of existing databases and meta-analyses as needed and appropriate
  • Support clinical development biostatistics with exploratory analyses necessary for submissions and regulatory queries.
  • Review publications, marketing materials, and education and training materials that contain clinical data and product claims
  • Stay informed with data being generated in current clinical development programs
  • Manage CROs regarding statistical activities to ensure timely delivery of quality analysis results as necessary
  • Collaborate and provide statistical support to the HEOR group in relevant areas including HTA and NTAP submissions.
  • Develop real world evidence strategies utilizing real-world data assets to design and execute RWE research projects, including the development of protocols and statistical analysis plans, in collaboration with epidemiology and RWE leadership team.
  • Stay current with new developments in statistics, drug development, and regulatory guidance through literature review, conference attendance, and other professional development activities.

Minimum Requirements

  • Master’s degree with >2 years of experience; OR PhD in statistics, mathematics or a related discipline with a statistical focus.
  • Proficient in drug development regulations pertinent to statistical analysis
  • Proficient SAS & R programming skills
  • Understanding of CDISC SDTM and ADAM models and standards is preferred, but not required.
  • Excellent writing and communication skills, demonstrated leadership abilities and excellent interpersonal skills.
  • Able to work in a fast-paced, flexible, team-oriented environment.