Live Connections Is Hiring Biostatistician - Lead / Manager/ Sr Delivery Manager | Hyderabad, Pune, Mumbai, Bangalore

  • Hyderabad, Pune, Mumbai, Bangalore
  • Private
  • 30 to 40 LPA
  • Deadline: Jan 09, 2024
Job information

Category

Experienced

Open Positions

25

Experience

5 to 20 yrs

Work shift

Flexible

Employment Status

Permanent

Deadline

Jan 09, 2024

Job description

Live Connections Is Hiring Biostatistician - Lead / Manager/ Sr Delivery Manager | Hyderabad, Pune, Mumbai, Bangalore

live-connections-hiring-biostatistician-lead-manager-sr-delivery-manager-hyderabad-pune-mumbai-bangalore

Requirement: 

5+ years of relevant research/clinical/healthcare - Biostatistician experience to apply send cv to [email protected]

Key Responsibilities

  • Evaluate research concepts to develop appropriate statistical methods of analysis.
  • Review protocols, and write statistical sections and Statistical Analysis Plans (SAPs) for assigned studies.
  • Determines methods of statistical analysis and applies statistical techniques to determine measures of central tendency, correlation, sample size, significance of difference, etc.
  • Reviews CRFs and ensures complete data collection for analysis.
  • Runs randomization lists.
  • Prepares tables, charts, and graphs showing the results of statistical analysis
  • Performs specialized statistical analysis involving correlation equations for multi-factorial variances and regression equations.
  • Discusses study conduct and results with physicians and sponsors
  • Detailed knowledge of SAS programming and procedures and other statistical software; writes edit checks in SAS; validates SAS programs
  • Responsible for data transfer Critical Skills
  • Advanced SAS programming skills for data manipulation (macros, proc SQL, data and proc steps, merging, use of first & last from proc sort, removal of duplicates, running totals, merging, use of arrays, proc template, knowledge of the output delivery system (ODS), etc.).
  • Ability to create and work with multiple data sources and large datasets (millions of records).

Basic applied statistical skills (Chi-square tests, Fisher’s exact test, t-tests, Wilcoxon rank sum tests, paired tests, linear & logistic regression, Cox proportional hazards regression, Kaplan Meier survival plots)

Performs survival analysis, mixed model, and/or combined qualitative-quantitative analytic techniques and related research tools.

Modeling with count data (Poisson and negative binomial regression)

Modeling with skewed data (survival and cost data)


Interested candidates apply through the below link. Apply before the link expires.
( Select Apply Without Registration )

Note: Only shortlisted candidates will receive the call letter for further rounds.

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