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Statistics Survival Analysis Jobs in Indiana (NOW HIRING)

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Statistics Survival Analysis information

What is statistics survival analysis?

Statistics survival analysis is a branch of statistics that focuses on analyzing the expected duration of time until one or more events happen, such as death, failure, or relapse. It is commonly used in clinical trials, reliability engineering, and social sciences to estimate survival rates and compare different groups. The analysis accounts for censored data, which occurs when the outcome event has not been observed for some subjects during the study period. Techniques like Kaplan-Meier estimates and Cox proportional hazards models are frequently used in survival analysis.

What are the key skills and qualifications needed to thrive as a professional specializing in statistics survival analysis?

To thrive in Statistics Survival Analysis, you need a strong background in statistics, mathematics, and experience with survival models, typically supported by a degree in statistics, biostatistics, or a related field. Proficiency with statistical software such as R, SAS, or Python, and familiarity with specialized packages like 'survival' or 'lifelines,' is essential. Strong analytical thinking, attention to detail, and effective communication skills make someone stand out in this role. These skills and qualities are vital for accurate data interpretation, designing robust studies, and clearly conveying findings to multidisciplinary teams.

What are some common challenges faced by professionals working in survival analysis, and how can they be addressed?

Professionals in survival analysis often encounter challenges such as handling censored data, selecting appropriate statistical models, and interpreting results for non-statistical audiences. Addressing these challenges typically involves a strong understanding of statistical theory, using specialized software (like R or SAS), and collaborating closely with domain experts to ensure contextual accuracy. Regular training, peer review, and participation in interdisciplinary teams also help to overcome technical and communication barriers, making it easier to deliver actionable insights from survival analysis projects.

What is the difference between Statistics Survival Analysis vs Data Analyst?

AspectStatistics Survival AnalysisData Analyst
Required CredentialsDegree in Statistics, Mathematics, or related field; certifications like SAS or RDegree in Data Science, Statistics, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch settings, healthcare, insurance, academiaBusiness, finance, marketing, technology companies
Industry UsageAnalyzing time-to-event data, survival rates, hazard functionsData cleaning, reporting, trend analysis, dashboards

Statistics Survival Analysis focuses on modeling and analyzing time-to-event data, often in research or healthcare contexts. Data Analysts handle broader data tasks like cleaning, visualization, and reporting across various industries. While both roles require strong analytical skills, Survival Analysis specialists typically have advanced statistical training specific to time-dependent data, whereas Data Analysts focus on interpreting data for business insights.

What are popular job titles related to Statistics Survival Analysis jobs in Indiana?

For Statistics Survival Analysis jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Statistics Survival Analysis jobs in Indiana look for?

The top searched job categories for Statistics Survival Analysis jobs in Indiana are:

What cities in Indiana are hiring for Statistics Survival Analysis jobs?

Cities in Indiana with the most Statistics Survival Analysis job openings:

AFSIM Modeling, Simulation & Analysis (MS&A) Engineer with Security Clearance

Peerless Technologies Corporation

Crane, IN • On-site

Other

Re-posted 3 days ago


Job description

Peerless is seeking experienced Modeling, Simulation & Analysis (MS&A) Engineers to execute and perform analysis using the AFSIM (Advanced Framework for Simulation, Integration and Modeling). Candidates will be responsible for researching, developing, integrating and maintaining the necessary models, scenarios, and simulations to support detailed analysis. Candidates will assist with modeling tasks requiring the design, development and adaptation of mathematical, statistical, econometric, and other scientific methods and techniques for evaluating and reporting the probable effects and survivability of alternative courses of action. Requirements * Extensive experience with AFSIM and modeling and simulation tools (e.g., STK, NGTS, Builder) * Experience supporting model development, integration, and analysis in defense environments * Proficiency in Python, C++, and/or MATLAB * Experience supporting Live-Virtual-Constructive (LVC) simulation environments * Experience conducting model verification and validation (V&V) and producing technical assessments * Strong analytical, problem-solving, and technical documentation skills * Ability to collaborate with government, laboratory, and industry stakeholders * Active TS/SCI clearance * Security+ (CE) or other DoD-approved certification Preferred Qualifications * Advanced degree in Computer Science, Engineering, Physics, or related field * Strong background in systems engineering and model integration * Experience supporting EMSO and/or Nuclear Triad modeling and simulation * Experience with threat modeling, flight path scenarios, and electronic warfare (EW) effects * Experience collaborating with National Laboratories and DoD Warfare Centers * Additional programming experience (e.g., Java) * Experience in rapid prototyping or hardware design engineering * Strong communication, reporting, and project coordination skills * Prior experience supporting DoD organizations and large-scale simulation efforts