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Remote Mathematical Statistician Jobs in Michigan

BA/BS in statistics, mathematics, actuarial science or related area and 5 years of post-bachelor ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

BA/BS in statistics, mathematics, actuarial science or related area and 5 years of post bachelor ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Remote/Virtual (Using your own personal laptop/computer) Program Overview: * Unpaid Educational ... Risk Management/Insurance, Math, Statistics, Business Analytics, Economics (and related majors)

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Remote Mathematical Statistician information

How do remote mathematical statisticians typically collaborate with team members and stakeholders across different locations?

Remote Mathematical Statisticians frequently use digital collaboration tools such as video conferencing, shared code repositories, and project management platforms to communicate and work with colleagues. They often participate in regular virtual meetings to discuss statistical methodologies, share updates on data analysis, and align on project goals with cross-functional teams such as data scientists, researchers, and subject matter experts. Building clear communication channels and proactively sharing progress are essential, as remote work can sometimes make it challenging to stay aligned and receive timely feedback. Effective collaboration also involves documenting methods and findings clearly to ensure transparency and reproducibility within a distributed team.

What does a remote mathematical statistician do?

A remote mathematical statistician analyzes and interprets data using advanced mathematical and statistical techniques while working from a location outside of a traditional office. They design experiments, develop statistical models, and help organizations make data-driven decisions. Their work often involves programming, data visualization, and collaborating with teams virtually. Remote mathematical statisticians are commonly employed in sectors like government, healthcare, finance, and technology.

What are the key skills and qualifications needed to thrive as a remote mathematical statistician?

To thrive as a Remote Mathematical Statistician, you need advanced knowledge of probability, statistical analysis, and a relevant degree such as mathematics, statistics, or a related field. Proficiency in statistical software like R, SAS, Python, and experience with data management tools are typically required. Strong analytical thinking, attention to detail, and excellent written communication skills help you interpret data and present complex findings clearly. These skills are critical to ensure accurate data analysis, effective remote collaboration, and insightful decision-making for organizations.

What is the difference between Remote Mathematical Statistician vs Remote Data Analyst?

AspectRemote Mathematical StatisticianRemote Data Analyst
Required credentialsMaster's or PhD in Statistics, Mathematics, or related fieldBachelor's or Master's in Statistics, Data Science, or related field
Work environmentResearch-focused, statistical modeling, and analysisData processing, visualization, and reporting
Employer usageResearch institutions, government agencies, healthcare, tech companiesBusiness, marketing, finance, tech companies
Search intentComparing roles involving advanced statistical modelingRoles focused on data interpretation and reporting

The Remote Mathematical Statistician primarily focuses on advanced statistical modeling and research, often requiring higher-level credentials like a master's or PhD. In contrast, a Remote Data Analyst typically handles data processing, visualization, and reporting, with a broader range of educational backgrounds. Both roles are common in tech, healthcare, and research industries, but they serve different functions within data teams.

What are popular job titles related to Remote Mathematical Statistician jobs in Michigan? For Remote Mathematical Statistician jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Mathematical Statistician jobs in Michigan look for? The top searched job categories for Remote Mathematical Statistician jobs in Michigan are:
What cities in Michigan are hiring for Remote Mathematical Statistician jobs? Cities in Michigan with the most Remote Mathematical Statistician job openings:

Study Design Statistician (Remote)

MMS Holdings Inc.

Canton, MI โ€ข On-site, Remote

Full-time

Re-posted 22 days ago


Job description

Are you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research.
Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit www.mmsholdings.com or follow MMS on LinkedIn.
As part of our Strategic Statistical Services Arm, this is a full-time role with emphasis on being an internal and external SME for clinical trial design, together with providing consultation to advise clients on a range of broader statistical issues, and will have an internal job title of Strategic Statistician.
Job Description:
Our experienced statisticians and programmers develop intellectual property and assets to support the design and analysis of clinical trials, precision medicine and real-world data analytics. We address the emerging analytics needs of the Industry with our biostatistics services, bespoke algorithms and unique, state of the art, proprietary, cloud-based trial simulation software KerusCloud. Working alongside innovative statisticians you will be responsible for leading the full life-cycle of KerusCloud support and statistical services, from:
  • Assisting customers with their study design with a particular focus on simulation with KerusCloud to ensure they are aligned with the study objectives.
  • Preparation of study protocols and development of Statistical Analysis Plans and Statistical Analysis Reports.
  • Summarize, analyze and visualize study data using a variety of statistical methods, ultimately delivering results to an agreed timeline with optimal quality.
  • Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of third-party statistical and programming deliverables.
  • Maintain current knowledge of relevant research techniques such as modelling, simulation and experimental design and participate in continuous professional development activity.
  • Support pre-sales discussions to understand and identify client needs, then contribute to technical solutions and resource/ cost estimates.
  • Collaborate with the Product Development team defining key features and statistical aspects of KerusCloud.
  • Provide input and support to Marketing of KerusCloud, including demonstrations to clients, white papers, etc.

Requirements:
  • Bachelors degree in mathematics, statistics, physics, pharmacology or with a strong statistical component, Masters or PhD preferred.
  • 5-7 years of experience in the application of medical statistics (pharma, CRO, academic).
  • Willingness to engage with clients to understand and research problems and provide creative, business-orientated solutions.
  • Experience in delivering customer projects to high quality standards.
  • Experience in SAS and/ or R statistical software packages.
  • Experience in study design and protocol and report-writing preferred.
  • Experience of modelling and simulation techniques to explore complex study designs preferred.
  • Experience of Bayesian approaches to design and analysis of clinical data preferred.
  • Experience of early-phase drug development processes including innovative/ adaptive study design preferred.