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Phd Statistics Jobs in Indiana (NOW HIRING)

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 ...

Graduate degree (MS, PhD, etc.) linked to data analytics (e.g., math, physics, computer science) or ... Statistical package expertise in IBM SPSS/PASW, R, STATA or MS Excel statistics. Compensation ...

Postdoctoral Fellows

Bloomington, IN ยท On-site

$45K - $61K/yr

Completed PhD in biostatistics, statistics, computer science, or a related discipline. Strong skills in statistical model development and implementation. Prior knowledge in clinical trial research is ...

College graduate in Biostatistics, Statistics, or Mathematics discipline or related field, masters or PhD preferred, or many years of related experience required. * Minimum of 5 years' experience in ...

Research Scientist

Bloomington, IN ยท On-site

$70K - $75K/yr

... and statistical methods and analyses including either graph theoretic of machine learning ... PhD in Psychology or related field How to Apply: Interested candidates should apply at by ...

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Phd Statistics information

What can I do with PhD in statistics?

A PhD in statistics prepares individuals for advanced roles such as data scientist, quantitative researcher, biostatistician, or statistical consultant. Graduates often work in academia, government agencies, healthcare, finance, or technology sectors, utilizing skills in data analysis, modeling, and programming tools like R or Python.

What are the typical projects or research areas for someone with a PhD in Statistics?

A PhD in Statistics often works on projects involving the design and analysis of experiments, predictive modeling, advanced data analytics, and the development of new statistical methodologies. Depending on the industry, these may span sectors like healthcare, finance, technology, or government, requiring collaboration with diverse teams of subject matter experts. The role may also involve publishing research, presenting findings, and supporting organizational decision-making with evidence-based insights. This dynamic environment allows statisticians to solve real-world problems and continuously learn new analytical techniques.

Is getting a PhD in statistics worth it?

A PhD in statistics prepares individuals for advanced research, teaching, and data analysis roles that often require strong quantitative and programming skills. While it can lead to higher-level positions and increased earning potential, it also involves significant time and financial investment, and job prospects depend on industry demand and specialization.

What are the key skills and qualifications needed to thrive in the Phd Statistics position, and why are they important?

To thrive as a PhD in Statistics, you need advanced knowledge of statistical theory, data analysis, and research methodologies, typically backed by a doctorate in statistics or a closely related field. Expertise with statistical software such as R, SAS, Python, or MATLAB, along with experience in data management systems, is crucial. Strong problem-solving abilities, clear communication, and the capacity to work both independently and as part of interdisciplinary teams are highly valued soft skills. These qualities enable you to devise rigorous solutions to complex data challenges, effectively collaborate with colleagues, and translate findings for stakeholders.

Are statisticians highly paid?

Statisticians with a PhD often earn higher salaries due to advanced expertise and specialized skills in data analysis, modeling, and statistical software. Salaries vary by industry, experience, and location but generally tend to be above average compared to other roles in data-related fields.

How much does a PhD statistician make?

A PhD statistician typically earns between $80,000 and $150,000 annually, depending on experience, industry, and location. Senior roles or positions in finance, technology, or healthcare can offer higher salaries, often exceeding $150,000. Advanced skills in statistical software and data analysis increase earning potential.

What is a PhD Statistics job?

A PhD Statistics job typically involves conducting advanced statistical research, developing new methodologies, and applying statistical techniques to solve complex problems in various fields such as healthcare, finance, or technology. Professionals in these roles may work in academia, government, or industry, analyzing data, designing experiments, and publishing findings. They often collaborate with interdisciplinary teams to extract insights from large datasets and improve decision-making processes.

What are the most commonly searched types of Phd Statistics jobs in Indiana? The most popular types of Phd Statistics jobs in Indiana are:
What are popular job titles related to Phd Statistics jobs in Indiana? For Phd Statistics jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Phd Statistics jobs? Cities in Indiana with the most Phd Statistics job openings:
Study Design Statistician (US)

Study Design Statistician (US)

MMS

Zionsville, IN โ€ข On-site

Full-time

Posted 11 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?ย 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. Visitย www.mmsholdings.comย or follow MMS onย LinkedIn.
As part of ourย Strategic Statistical Servicesย Arm, this is a full-time role with emphasis on being an internalย and externalย SME for clinical trial design, together withย providing consultation to adviseย clients on a range of broader statistical issues, and will have an internal job title ofย 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.ย 

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M. M. S. logo

About M. M. S.

Sourced by ZipRecruiter

Industry

Pharmaceutical and medicine manufacturing

Company size

1 - 10 Employees

Headquarters location

Los Angeles, CA, US

Year founded

1980