decision analytics associate consultants in bengaluru / bangalore

posted
contact
randstad india
position type
permanent
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posted
location
bengaluru / bangalore
function
Information Technology
position type
permanent
experience
2-5
reference number
57931
contact
randstad india

job description

decision analytics associate consultants in bengaluru / bangalore

Role: Decision Analytics Associate ConsultantLocation: Pune or BangaloreExperience: At least 3 years of hands-on experience on retrospective dataanalysis using Real World Data in Pharma and HealthcareResponsibility:• Program solving and insights generation -should be of quantitative mindsetto understand client requirements, should be able to formulate data-drivenapproach for solving business problem, break down the approach into smalllogical components, conduct analysis, infer insights and storyboard theresults• Knowledge of various RWD sources and basic POV on pros/cons of each data-sources• Exploratory data analysis - ability to conduct EDA to assess the feasibilityof conducting study using RWD• Nice to have hands-on experience working on RWD based Observational studiesto generate data evidence including but not limited to clinical, payercontracting, epidemiological use-cases• Nice to have experience of Literature review - ability to executesystematic, quick and relevant literature review and to formulate POV onanalytical techniques & methodology implemented• Ability to contribute to the write-up and review of the study and/or modeldescription, including relevant portions of protocols, manuscripts, abstracts,posters, slide presentations, as neededQualification:Bachelor's or master's degree in any discipline, and strong academicperformance with analytic and quantitative coursework is required;• 2 - 4 years of relevant post-collegiate job experience (3+ years forcandidates with bachelor's degree) with domain knowledge/expertise inHealthcare/Life Sciences/Med Tech is preferred• Experience in working with real world data sources such as patient claimsdata, EMR, consumer data etc. • Proficiency in hands on programing in SQL andadvanced SQL• Proficiency in MS Excel • Hands on experience in either R/Python• Working knowledge of basic Statistics including first order descriptivestatistics, types of distributions, hypothesis testing, statisticalsignificance, probability distributions etc.• Knowledge of different retrospective RWD (Real World Data) databases such asTruven, Optum, Symphony etc.• Good to have experience of bio-statistical techniques such as - Survivalanalysis, Matching techniques such as Propensity score Matching and CaseControl, Linear and Logistic regression• Fundamental understanding of standard predictive and classification models;when to use and how to interpret results

skills

Statistics, retrospective data analysis, Exploratory data analysis

qualification

M.E/M.Tech, B.E/B.Tech, B.Sc, BCA, B.Ed