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Statistics Survival Analysis Jobs (NOW HIRING)

Thermo Fisher Scientific

Lead Statistician HEOR

MD · Remote

... survival analysis, meta-analysis, indirect treatment comparisons, issues related to missing data ... background in statistics * Scientific visibility in terms of authorship of peer-reviewed ...

Rush University Medical Center

Statistician 1

Chicago, IL · On-site

$32 - $46.44/hr

Required Job Qualifications: • Master's degree in Biostatistics, Statistics or closely related ... survival analysis methods. • Strong analytical skills. • Proficiency with SAS or R/R-studio ...

Lancesoft

Prin Statistician - Exempt

Moundsview, MN · On-site

$70 - $80/hr

Strong applied statistical skills, including survival analysis, regression modeling, Bayesian methods, adaptive trial designs, and more. * Advanced knowledge of statistical programming packages ...

YO AI Labs

Biostatistician Expert - Remote

Palo Alto, CA · Remote

$60 - $70/hr

Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs ... Survival analysis, mixed models, covariate adjustment * Multiplicity control & ICH E9(R1)

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YO AI Labs

Biostatistician Expert - Remote

Atlanta, GA · Remote

$60 - $70/hr

Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs ... Survival analysis, mixed models, covariate adjustment * Multiplicity control & ICH E9(R1)

New

YO AI Labs

Biostatistician Expert - Remote

Miami, FL · Remote

$60 - $70/hr

Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs ... Survival analysis, mixed models, covariate adjustment * Multiplicity control & ICH E9(R1)

New

YO AI Labs

Biostatistician Expert - Remote

Chicago, IL · Remote

$60 - $70/hr

Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs ... Survival analysis, mixed models, covariate adjustment * Multiplicity control & ICH E9(R1)

New

YO AI Labs

Biostatistician Expert - Remote

Boston, MA · Remote

$60 - $70/hr

Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs ... Survival analysis, mixed models, covariate adjustment * Multiplicity control & ICH E9(R1)

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Statistics Survival Analysis information

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$34K

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How much do statistics survival analysis jobs pay per year?

As of Aug 12, 2026, the average yearly pay for statistics survival analysis in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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 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 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.
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Statistics Survival Analysis jobs near you
Infographic showing various Statistics Survival Analysis job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Member of Technical Staff, Survival Analysis

Ataraxis AI

New York, NY • On-site

$100K - $300K/yr

Full-time

Posted yesterday

New

Job description

About Ataraxis AI
Ataraxis is a clinical AI research lab working at the intersection of multi-modal AI and precision medicine. Our goal is to make disease predictable. To accomplish this, we develop new AI methods that predict patient outcomes and treatment response, and build clinical tools to assist physicians in selecting the most optimal treatments for their patients.
Our AI research lab discovers and develops methods to recognize patterns and predict outcomes across complex, multi-modal clinical data. This spans our causality (Ataraxis™ Tau), foundation model (Falcon and Kestrel for digital pathology), and survival analysis research.
Our first clinical products, such as Ataraxis™ Breast for breast cancer, already help patients get the most appropriate treatment across the best academic institutions and community clinics worldwide.
At Ataraxis, you will have a unique opportunity to shape not only the future of our company, but also the future of healthcare. You will join an exceptional team at the forefront of clinical AI research and deployment. Our advisors include AI pioneers such as our founding advisor, Yann LeCun, and distinguished oncologists from top cancer research institutions, all united by the mission to redefine precision medicine.
Ataraxis has raised over $24 million in funding, including a $20 million Series A led by top venture capital funds such as Thiel Capital/Founders Fund (OpenAI, SpaceX, Palantir), Obvious Ventures (AMI Labs, Inceptive, Radical Numerics, Recursion), and AIX Ventures (Hugging Face, Perplexity).
We are an company with a flat organizational structure, where every team member is empowered to actively contribute. Leadership roles are earned by those who demonstrate initiative and consistently deliver exceptional results. Strong work ethic and the ability to prioritize ruthlessly are essential.
Responsibilities
  • Design and implement novel survival analysis methods.
  • Translate machine learning papers into production-ready code.
  • Build robust model evaluation frameworks.
  • Disseminate the results by co-authoring research papers and abstracts.
  • Collaborate with a multidisciplinary team of engineers and scientists.
  • Co-mentor junior members of the team.
Qualifications
  • PhD degree in machine learning or statistics.
  • Excellent knowledge of survival analysis methods.
  • Passion for research, attention to detail and ability to drive tasks to completion. Strong preference will be given to candidates with papers in A* conferences (e.g. ICML, ICLR, NeurIPS, CVPR) or top-tier statistics journals.
  • Excellent understanding of core machine learning concepts.
  • Excellent knowledge of the foundations of statistics, linear algebra, probability and machine learning.
  • Excellent skills in Python and PyTorch.
  • Experience in deep learning. Experience in self-supervised learning, multi-modal learning, domain adaptation, causal inference, model interpretability and computational pathology is a bonus.

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