.. Job Title: Design Verification Engineer Location: Hyderabad, India Experience: 5 yrs to 15yrs Job Description: Expertise in SV-UVM, Testbench development from scratch RISC-V processor based verification experience Protocols experience - PCIe/CXL/UCIe/DDR/Ethernet .. read more
Hiring for - Biostatistician DA TL & TM , SDM
Location - Pan India
Hybrid Mode
US Night shifts
Data Analyst : 3+yrs of exp in Biostatistician , ctc upto 16lpa
Team lead : Minimum 5+yrs of exp in Biostatistician , ctc upto 22lpa
Team Manager : 6+yrs of exp in Biostatistician , ctc upto 30lpa
SDM : 10yrs of exp in Biostatistician , ctc upto 40lpa
Requires 5+ years of relevant research/clinical/healthcare experience (2 less years required with PhD)
Masters degree in Statistics / Biostatistics or Applied Statistics
Ph.D. preferred
Skills : #Biostistician, #MockShell, #Statisticalanalysis, #Modellingtable, #Biostatistician,#Linearregression. #Logisticregression, #Ttest knowledge, #Anova knowledge,
#Ancova knowledge
Key Responsibilities
Preparation & Review of Sap & Mock shell
Evaluates research concepts to develop appropriate statistical methods of analysis
Reviews protocols, writes 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
Ability to provide technical solutions to a wide range of difficult problems
Works with research staff to resolve issues regarding data capture, accuracy, and completeness
Assists in the development of new statistical tools and modeling protocols
Documents methods, instructions and rules for implementing new techniques and research tools
Develops standard data quality review checks and validation procedures
Designs predictive modeling programming for evaluating health outcomes, utilization, and costs
Produces standard error analysis routines and protocols (missing data & data errors checks)
Diversifies research techniques, by producing mixed qualitative-quantitative approaches to evaluating EHRs.
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
Interested candidates contact HR Umme @8655884775 /