Job description:
job title: salesforce business analyst location: remote job type: full time permanent rolejob description:required qualifications to be successful in this role - bachelor's degree in business administration, information technology, or a related field. - minimum of 10 years of experience as a salesforce business analyst in the life sciences industry.experience in using jira and jira aline tools (must have!) - strong understanding of salesforce platform capabilities, features, and best practices. - proficient in requirements gathering, process mapping, and documentation. - experience with salesforce lightning, sales cloud, and service cloud. - excellent communication skills to effectively collaborate with cross-functional teams and stakeholders. - proven ability to analyze data, identify trends, and provide actionable insights.

Resume:
<<professional overview10+ years' research experience in academia and industry.concentrating in data analysis and related areas including: data mining, linear/logistic regression, predictive modeling. core qualificationsexcellent hands-on skills in statistical analysis using sas and r.expertise in experiment design , exploratory data analysis, reproducible research, machine learning.proficient in python, sql, shell script and linux/hpc environment.systematic approach with analytical, reasoning, and problem solving skills to develop and modify software tools. experience 11/2014tocurrentngs data analystunitypoint health– ,developing statistical and analytical methods to interpret the genotype data for a variety of clinical phenotyping assays.lead team effort of developing strategies and software to validate, store, visualize and interpret data in order to ensure quality control of the next generation sequencing data.optimized the sequencing protocol and decreased the cost by 66.7%.developed and automated the data analysis pipeline for illumina and pacbio sequencing platform on amazon web services. 09/2010to 07/2014research fellow (dr.leslie baier's lab)verizon media (former oath)– ,independently developed and published a pipeline (ngspe) for next generation sequencing data analysis which initialized the bioinformatics research in the branch.analyzed terabytes of whole exome & genome sequencing data (from alignment, recalibration and genotype calling to variant annotation) under linux/high performance computing environment.data mining of the genotypes and type 2 diabetes related clinical traits using sas/sql and r.developed and deployed a database system in mysql to provide genetic data support for the branch.customized the pima indian common variant (maf 5%) chips by selecting tag variants from the whole genome sequencing data. 05/2011to 05/2014adjunct facultyarizona state university–city,state,collaborated with prof. valentin dinu on the next generation sequencing projectmentored graduate students. 03/2009to2010research scientistbio-x center, shanghai jiao tong university–city.chinaleaded the human genome wide association (affymatrix snp 6.0 array) studies from genotyping to data analysis using the affymatrix genotyping console and plink.identified several susceptibility genes of schizophrenia, diabetic retinopathy using linkage disequilibrium mapping, case-control and functional studies.mentored ph.d candidate students. education expected in2015totocertificate:data sciencejohn hopkins university-coursera,gpa:expected in2009totoph.d:statistical geneticsshanghai jiao tong university-shanghai,gpa:expected in2004totob.s:biological scienceshuazhong agriculture university-wuhan,gpa: skills statistical analysis, r, sas, python,c/c++, mysql, database, linux/hpc/aws, machine learning, classification, cluster, predictive modeling,experiment design, management,genetics, quality control, scientific research, software development.