{"id":3081758,"url":"https://alion.io/job/iqvia-data-scientist-clinical-operational-analytics","title":"Data Scientist - Clinical & Operational Analytics","company":{"id":4918,"name":"IQVIA","domain":"iqvia.com","url":"https://alion.io/company/iqvia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":540,"ghost_share":0.006,"stale_share":0.798,"repost_share":0.03,"time_to_fill_p50_days":20,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":71},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-22T12:21:45Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-22T23:23:34Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Lead and execute clinical and operation advanced analytics or system improvements\nDevelop novel data science methodologies to generate deep insights from disparate data sources.\nProvide subject matter expertise to teams in identification and application of the right data science methodology for a business problem.\nFormulate the right business problem in collaboration with business and create necessary analysis plans.\nDevelop machine learning methodologies both supervised and unsupervised as appropriate to the business problem.\nDevelop scalable and robust code in relevant language such as R or Pythonor equivalent in support of data science projects.\nPerform exploratory data analysis, system design analysis, integration design analysis, database design analysisto generate insights and help answer business questions.\nEnsure the life cycle management of the models is maintained through code repositories and version control tools.\nPerform data engineering, data preprocessing and data wrangling activities utilizing different approaches such as SAS, SQL, NOSQL, graph models. Perform thorough validation of the machine learning output to ensure a high-quality work product.\nIndividual should have a minimum of 5 years’ experience with relevant master’s degree in data science, statistics, Informatics, operations research, computer science, engineering or information systems or a related discipline OR\nA minimum of 2 years’ experience with a Ph.D. degree in data science, statistics, Informatics, operations research, computer science, engineering or information systems is required. \nProven ability to translate and influence business requirements against existing analytics and data integration capabilities whilst identifying capabilities challenges and necessary solutions to ensure realistic goal setting for future analytics modelling.\nA proven record in shaping and delivering key programs that optimized performance and delivered project support in matrix environments is required.\nExperience in advanced analytics processes including gaining insight from structured and unstructured data, predictive modelling and optimization and associated systems/database infrastructure\nStrong working knowledge of traditional statistical methodologies.\nStrong working knowledge of machine learning methodologies, both supervised and unsupervised learning methods.\nHigh proficiency in one of the programming languages either Python or R or equivalent\nFamiliarity of best practices in machine learning model development, validation and deployment.\nSolid understanding of life cycle management of the code and code repositories.\nExtensive experience with data wrangling, data preprocessing and data engineering techniques on large datasets.\nTechnical expertise, preferably in pharmaceutical clinical or a regulated industry operation, with extensive experience gained through working with diverse and complex data integration, warehousing and ingestion\nExcellent communication, interpersonal, and written skills\nAnalytical Ability /Quality Results Oriented \nCustomer Focus \nGlobal Business Mindset \nInnovation & Transformation \nSolutions Oriented\nLanguage requirements - Proficient in English\nCertifications - Preferred any data science certifications or relevant education\nIQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com\nIQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. 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