{"id":1448128,"url":"https://alion.io/job/takeda-pharmaceutical-associate-director-clinical-data-scientist-2","title":"Associate Director, Clinical Data Scientist","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":51,"ghost_share":0,"stale_share":0.49,"repost_share":0.02,"time_to_fill_p50_days":26,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland","Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":171000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":110},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CDISC","optional":false},{"name":"GCP","optional":false},{"name":"Good Clinical Practice","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-29T07:02:22Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-11-01T01:38:32Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"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\nAbout the role:\nAt Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on four therapeutic areas and other targeted investments, we push the boundaries of what is possible in order to bring life-changing therapies to patients worldwide.\nAs an Associate Director-level clinical data science leader within Data & Quantitative Sciences, you will translate complex clinical, biomarker, and external data into actionable evidence that informs clinical development decisions.\nHow you will contribute:\nLead fit-for-purpose statistical, data science, and advanced analytics approaches across assigned studies, assets, or specialty areas, including exploratory analysis, predictive modeling, simulation, and integrated data review.\n\nPartner cross-functionally with Clinical, Clinical Pharmacology, PSPV, Clinical Data Management, Translational Sciences, Regulatory, Clinical Operations, and external partners to ensure high-quality, traceable, analysis and submission-ready data and decision-ready insights.\n\nAdvance modern ways of working by applying AI/ML, automation, reusable analytics workflows, and governed data standards while maintaining scientific rigor, regulatory awareness, and patient-focused decision making.\n\nLead clinical data science strategy and delivery for one or more studies, assets, or capability areas, ensuring alignment with development objectives, timelines, quality expectations, and stakeholder needs.\n\nDesign and/or execute quantitative analyses using clinical trial data, biomarkers, real-world data, external data, and other relevant sources to generate interpretable insights for study teams and governance forums.\n\nApply appropriate statistical, machine learning, simulation, and visualization methods to support patient-level prediction, endpoint interpretation, risk assessment, scenario planning, and evidence generation.\n\nDefine requirements for model-ready datasets and analytics-ready data flows, including variable derivations, data quality expectations, lineage, traceability, metadata, and documentation sufficient for regulated clinical development use.\n\nPartner with Clinical Pharmacology PSPV, Translational Sciences, Clinical Data Management, Regulatory, and platform teams to ensure that CDISC, submission, and downstream quantitative decision-making needs are built into study setup, data review, and reporting processes.\n\nProvide scientific and technical oversight of internal and external delivery partners, including review of analysis plans, specifications, code, outputs, data visualization, and interpretation of findings.\n\nIdentify, communicate, and mitigate risks related to data quality, analytic assumptions, vendor delivery, timelines, reproducibility, and regulatory acceptability of data science outputs.\n\nDrive continuous improvement in clinical data science practices through reusable code, standards, training, mentoring, automation, AI-enabled workflow improvements, and adoption of industry best practices.\n\nMentor junior colleagues or delivery partners in clinical data science methods, reproducible analytic practices, technical problem solving, and effective communication of quantitative insights.\n\nMinimum Requirements/Qualifications:\nPhD in statistics, biostatistics, data science, epidemiology, biomedical engineering, computer science, quantitative sciences, or related field with 5+ years of relevant experience; or MS with 8+ years of relevant experience. Equivalent combinations should be reviewed with HR.\n\nSignificant experience in clinical development within the pharmaceutical, biotechnology, or healthcare research environment, with demonstrated ability to influence cross-functional decisions at study, asset, or functional level.\n\nExperience providing technical leadership, matrix leadership, vendor oversight, and/or mentorship of junior colleagues or delivery partners.\n\nAdvanced knowledge of clinical trial design, drug development, endpoints, estimands, biomarkers, data interpretation, and the role of analytics in clinical decision making.\n\nStrong foundation in statistics and quantitative methods, including longitudinal analysis, survival methods, causal reasoning, simulation, predictive modeling, and uncertainty communication.\n\nHands-on proficiency in R and/or Python, with working knowledge of SAS and SQL; ability to review and guide reproducible analyses, code quality, version control, and validated workflows.\n\nWorking knowledge of CDISC standards, including SDTM, ADaM, controlled terminology, Define-XML concepts, and submission-oriented data expectations.\n\nExperience integrating and interpreting diverse data sources, including clinical trial, biomarker, real-world, external, imaging, digital health, or other high-dimensional data as appropriate to the portfolio.\n\nPractical understanding of AI/ML and advanced analytics in regulated clinical development, including model development, validation, documentation, bias/assumption assessment, and fit-for-purpose deployment.\n\nKnowledge of FDA, EMA, ICH-GCP, GxP, data privacy, inspection readiness, and traceability expectations relevant to clinical data and quantitative deliverables.\n\nCommunicates complex quantitative findings clearly to scientific, operational, technical, and senior leadership audiences.\n\nInfluences across functions without relying on direct authority; builds trusted partnerships with clinical, statistical, programming, data management, regulatory, technology, and vendor stakeholders.\n\nBalances scientific rigor, speed, quality, and pragmatic delivery; proactively escalates risks with options and recommendations.\n\nDemonstrates enterprise mindset, curiosity, continuous improvement, and commitment to developing others and advancing modern clinical data science capabilities.\n\nMore about us:\nAt Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.\nCertified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.\nThis position is currently classified as \"hybrid\" following Takeda's Hybrid and Remote Work policy.\nLocations\nLodz, Poland\nBase Salary Range:\nzł402,100.00 - zł552,860.00\nFor information about our benefits, please click here.\nLocations\nWarsaw, PolandLodz, PolandWorker Type\nEmployeeWorker Sub-Type\nRegularTime Type\nFull time","description_format":"text","description_chars":7140,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Oncology Therapeutics","Neurology & CNS Therapeutics","Rare Disease Therapeutics"],"lifecycle":[{"event":"open","at":"2026-09-29T07:02:22Z"}],"visa":[],"liveness":{"score":47,"band":"ok","label":"Likely open","p_open":1,"p_active":0.858,"p_room":0.55,"age_days":32,"expected_fill_days":26,"reasons":["conf:4","velocity","win:tail","comp:brand"],"computed_at":"2026-11-01T06:10:25Z"},"pay":null,"html_url":"https://alion.io/job/takeda-pharmaceutical-associate-director-clinical-data-scientist-2","json_url":"https://alion.io/job/takeda-pharmaceutical-associate-director-clinical-data-scientist-2.json","meta":{"generated_at":"2026-11-01T09:32:39Z","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":14822,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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-associate-director-clinical-data-scientist-2"},{"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-associate-director-clinical-data-scientist-2"},{"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-associate-director-clinical-data-scientist-2"},{"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-associate-director-clinical-data-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftakeda-pharmaceutical-associate-director-clinical-data-scientist-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1448128}},{"tool":"search_jobs","arguments":{"company":"takeda.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1448128},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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