Job description:
reviews, analyzes, and evaluates business systems and user needs. formulates systems to parallel overall business strategies. experienced with business process reengineering and identifying new applications of technology to business problems to make business more effective. familiar with industry standard business process mapping, and reengineering. prepares solution options, risk identification, and financial analyses such as costbenefit, roi, buybuild, etc. writes detailed description of user needs, program functions, and steps required to develop or modify computer programs. this position will work on the grants management application. this position will perform the duties of a business analyst including requirement gathering, analysis of requirements, development of requirements and design for required system modifications, completing business requirement documents, user stories, and business area collaboration andor coordination. will also work with technical teams to coordinate demos, uat, code releases, and user communication as necessary. must have experience working in an agile environment. some on-call support may be required depending on the project phase. ii. candidate skills and qualifications minimum requirements:candidates that do not meet or exceed the minimum stated requirements (skillsexperience) will be displayed to customers but may not be chosen for this opportunity.yearsrequiredpreferredexperience8requiredbusiness analyst experience8requiredsql experience8requiredsystem reporting (oracle, sql)8requiredsystems testing (unit, integration, uat)8requiredexcellent communication skills (verbal and in writing)4preferredagile software development methodologies experience2preferredproject andor product management experience1preferredexperience with jira iii. terms of service services are expected to start 10022023 and are expected to complete by 08312024. total estimated hours per candidate shall not exceed 1850 hours. this service may be amended, renewed, andor extended providing both parties agree to do so in writing. iv. work hours and location services shall be provided during normal business hours unless otherwise coordinated through the texas health and human services commission. normal business hours are monday through friday from 8:00 am to 5:00 pm, excluding state holidays when the agency is closed. the primary work location(s) will be at 701 w 51st st austin, tx 78751. any and all travel, per diem, parking, andor living expenses shall be at the candidate's andor vendor's expense. texas health and human services commission will provide pre-approved, written authorization for travel for any services to be performed away from the primary work location(s). pre-approved travel expenses are limited to the rates and comply with the rules prescribed by the state of texas for travel by its classified employees, including any requirement for original receipts. the candidate(s) may be required to work outside the normal business hours on weekends, evenings and holidays, as requested. payment for work over 40 hours will be at the hourly rate quoted and must be coordinated and pre-approved through texas health and human services commission. v. other special requirements remote work mon - frilocation: within the state of texasinterviews will be conducted through microsoft teams

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.