{"id":2824666,"url":"https://alion.io/job/takeda-pharmaceutical-manager-clinical-data-scientist-statistics","title":"Manager, Clinical Data Scientist - Statistics","company":{"id":5984,"name":"Takeda Pharmaceutical","domain":"takeda.com","url":"https://alion.io/company/takeda","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":43,"ghost_share":0,"stale_share":0.512,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","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":18500,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"CDISC","optional":true},{"name":"GCP","optional":true},{"name":"Good Clinical Practice","optional":true},{"name":"Python","optional":true},{"name":"SAS","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-23T05:35:51Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.\nJob Description\nObjective / Purpose:\nDescribe at the highest level the team where this job sits and how this role will contribute to the team’s delivery of critical function.\nServe as a Manager-level Clinical Data Scientist within Data & Quantitative Sciences, applying statistical, data science, and analytical methods to support clinical development programs.\nContribute to cross-functional study teams by delivering analysis-ready data, quantitative analyses, visualizations, and interpretation summaries for assigned studies or workstreams.\nSupport fit-for-purpose statistical, data science, and advanced analytics activities under the direction of study and functional leadership.\nCollaborate with cross-functional team members to support high-quality, traceable, analysis-ready, and submission-ready data.\nApply modern clinical data science practices, including automation, reusable analytics workflows, and approved AI/ML-enabled approaches, while maintaining scientific rigor, regulatory awareness, and patient-focused decision making.\nAccountabilities:\nPrimary duties and responsibilities; essential functions only.\nPerform exploratory analyses, data visualization, and quantitative assessments using clinical trial, biomarker, external, and real-world data sources.\nApply established statistical, machine learning, simulation, and visualization methods to support interpretation of study results and development decisions.\nTranslate scientific and clinical questions into analysis-ready datasets, analysis specifications, and reproducible analytical workflows with guidance from senior team members.\nExecute clinical data science activities for assigned studies or workstreams, ensuring timely delivery of high-quality analyses, data review, and quantitative insights that support study objectives.\nSupport integrated data review activities by identifying data trends, inconsistencies, and potential risks requiring further investigation.\nReview and contribute to outputs produced by internal teams and external partners, ensuring adherence to established standards, processes, and quality expectations.\nCommunicate risks related to data quality, analytical assumptions, timelines, and quantitative outputs to study leadership and functional stakeholders.\nContribute to continuous improvement efforts through automation, reusable code, standard methodologies, and adoption of approved technologies and workflows.\nEducation & Competencies (Technical and Behavioral):\nEssential and desirable education and competency requirements to perform the primary responsibilities of the job.\nEducation / Experience\nPhD in statistics, biostatistics, data science, epidemiology, biomedical engineering, computer science, quantitative sciences, or related field; or MS with 3+ years of relevant experience. Equivalent combinations should be reviewed with HR.\nExperience contributing to quantitative analyses and data science activities within pharmaceutical, biotechnology, healthcare research, or other regulated clinical development environments.\nDemonstrated ability to support clinical development decisions through quantitative analysis, data interpretation, and clear communication of evidence.\nExperience working effectively on cross-functional study teams and collaborating across functional disciplines to achieve study objectives.\nExperience working with clinical trial data and at least one additional data type such as biomarker, real-world, external, imaging, digital health, or other high-dimensional data sources.\nHighest-priority Technical Skills\nWorking knowledge of clinical trial design, drug development, endpoints, estimands, biomarkers, data interpretation, and the role of analytics in clinical decision making.\nSolid foundation in statistics and quantitative methods, including longitudinal analysis, survival methods, causal reasoning, simulation, predictive modeling, and communication of uncertainty.\nAbility to integrate, analyze, and interpret diverse data sources, including clinical trial, biomarker, real-world, external, imaging, digital health, or high-dimensional data as appropriate to assigned studies.\nPractical understanding of AI/ML and advanced analytics in regulated clinical development, including model development, validation, documentation, assumptions, bias considerations, and fit-for-purpose deployment.\nHands-on proficiency in R and/or Python, with working knowledge of SAS and SQL; ability to develop and support reproducible analyses, code quality, version control, and validated workflows.\nAbility to create clear analysis specifications, visualization approaches, documentation, and interpretation summaries suitable for scientific, operational, and study-team audiences.\nWorking knowledge of CDISC standards, including SDTM, ADaM, controlled terminology, Define-XML concepts, and submission-oriented data expectations.\nAwareness of FDA, EMA, ICH-GCP, GxP, data privacy, inspection readiness, and traceability expectations relevant to clinical data and quantitative deliverables.\nFamiliarity with modern data platforms, reusable analytics workflows, automation, metadata-driven processes, and governed data standards.\nBehavioral Competencies\nCommunicates quantitative findings clearly to scientific, operational, technical, and study-team audiences.\nBuilds effective working relationships across study teams and functional partners.\nBalances scientific rigor, quality, and timely delivery while proactively communicating risks and issues.\nDemonstrates accountability for assigned deliverables and commitment to reproducible, traceable, high-quality work.\nDemonstrates technical credibility, sound judgment, and collaborative problem-solving skills.\nEmbraces continuous learning and adoption of innovative analytical methods, automation, and AI-enabled approaches.\nLocations\nIND - Bengaluru - Research and DevelopmentWorker Type\nEmployeeWorker Sub-Type\nRegularTime Type\nFull time","description_format":"text","description_chars":6276,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Oncology Therapeutics","Neurology & CNS Therapeutics","Rare Disease Therapeutics"],"lifecycle":[{"event":"open","at":"2026-10-18T21:05:59Z"}],"visa":[],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.604,"p_room":0.9,"age_days":9,"expected_fill_days":25,"reasons":["conf:0","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/takeda-pharmaceutical-manager-clinical-data-scientist-statistics","json_url":"https://alion.io/job/takeda-pharmaceutical-manager-clinical-data-scientist-statistics.json","meta":{"generated_at":"2026-10-23T07:02:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":11370,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5984},"rest":"https://alion.io/mcp/rest/get_company?id=5984"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftakeda-pharmaceutical-manager-clinical-data-scientist-statistics"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftakeda-pharmaceutical-manager-clinical-data-scientist-statistics"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftakeda-pharmaceutical-manager-clinical-data-scientist-statistics"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/takeda-pharmaceutical-manager-clinical-data-scientist-statistics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftakeda-pharmaceutical-manager-clinical-data-scientist-statistics"}]}