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Phd Statistician 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

$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 ...

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Showing results 1-20

Phd Statistician information

See Indiana salary details

$48.1K

$82.7K

$110.9K

How much do phd statistician jobs pay per year?

As of Aug 1, 2026, the average yearly pay for phd statistician in Indiana is $82,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,700.00 and $93,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD Statistician, and why are they important?

To thrive as a PhD Statistician, you need advanced expertise in statistical theory, data analysis, and research methodology, typically backed by a doctoral degree in statistics or a related field. Proficiency in statistical programming languages such as R, SAS, or Python, and experience with data management systems are commonly required. Strong critical thinking, communication, and problem-solving skills help you effectively interpret data and convey complex findings to diverse audiences. These skills are crucial for producing rigorous analyses, supporting evidence-based decisions, and advancing research in various industries.

What does a PhD Statistician do?

A PhD Statistician is an expert in the field of statistics who typically conducts advanced research, develops new statistical methods, and applies complex statistical techniques to solve real-world problems. They often work in academia, government, healthcare, or industry to design experiments, analyze data, and interpret results. Their work helps organizations make informed decisions based on quantitative evidence, and they may also publish research findings or teach at the university level.

What is the difference between Phd Statistician vs Data Scientist?

AspectPhd StatisticianData Scientist
Required CredentialsPhD in Statistics, Mathematics, or related fieldBachelor's or Master's in CS, Stats, or related; often includes certifications
Work EnvironmentResearch-focused, often in academia, government, or specialized industriesBusiness and tech companies, startups, analytics teams
Employer & Industry UsageResearch institutions, government agencies, pharmaceutical companiesTech firms, finance, marketing, e-commerce
Common Search & ComparisonYesYes

While both roles involve data analysis and statistical skills, a Phd Statistician typically focuses on advanced research, theoretical modeling, and complex statistical methods, often in academic or research settings. Data Scientists tend to apply a broader range of skills, including programming and machine learning, to solve practical business problems in industry. The choice depends on your career goals and preferred work environment.

How does a PhD Statistician typically collaborate with multidisciplinary teams in a research or industry setting?

PhD Statisticians often work closely with professionals from fields such as biology, engineering, medicine, or business to design studies, analyze data, and interpret results. They play a key role in translating complex statistical concepts for non-statistical team members, ensuring that analyses are both rigorous and relevant to project goals. Effective communication and project management skills are essential, as statisticians frequently participate in meetings, provide guidance on data collection, and help shape research questions to maximize the impact of statistical analysis.
What are popular job titles related to Phd Statistician jobs in Indiana? For Phd Statistician jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Phd Statistician jobs? Cities in Indiana with the most Phd Statistician job openings:
Infographic showing various Phd Statistician job openings in Indiana as of July 2026, with employment types broken down into 83% Full Time, 12% Part Time, and 5% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $82,711 per year, or $39.8 per hour.

Study Design Statistician (US)

MMS

Zionsville, IN โ€ข On-site

Full-time

Posted 28 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. 

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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