Senior Director, AI & Data Science Solutions at Otsuka America Pharmaceutical Inc.
Frankfort, KY
$230,720–$345,000from the description
Aug 14, 2026
Frankfort, KY
Sep 25, 2026
What this job asks for AI summary
This Senior Director role at Otsuka leads the AI and Data Science Solutions function across the pharmaceutical R&D value chain, owning strategy, architecture, and delivery of AI, Generative AI, and machine learning solutions for clinical trials, pharmacovigilance, real-world data, and related domains. The position carries direct people-management responsibility over a team of data scientists, ML scientists, and developers, and requires hands-on architectural depth alongside executive-level stakeholder engagement in a regulated (GxP/HIPAA) environment.
Principal level · 12+ years · Remote · Master's required · Full-time
Advertised as Senior, but the requirements read as Principal.
Posted 7 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $178,991 (middle half $141,096–$225,584). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 18, 2026. It is a model, not a headcount.
Why we read it this way (7)
No work location is specified in the posting beyond 'United States'; CBSA and state fields are left blank accordingly.
The title is 'Senior Director' but the role's scope — org-wide AI strategy, budget ownership, direct management of a multi-disciplinary team, and executive advisory responsibilities — places actual seniority at the Principal band rather than Senior.
A Master's degree in a quantitative or engineering discipline is the stated minimum; a PhD is described as 'strongly preferred' but not hard-required.
The posting names 12+ years of overall experience and 5+ years in senior leadership as the experience gate; no per-technology year requirements are stated.
Skills are largely domain-capability requirements (AI/ML, Gen AI, LLMs, real-world data, regulated environments) rather than specific named tools or platforms — the posting does not enumerate a concrete technology stack beyond these categories.
GxP and HIPAA appear in the requirements section as compliance frameworks the candidate must ensure adherence to, treated as hard gates on domain knowledge.
Clinical trial data, omics data, and FAIR data appear in the responsibilities/context sections rather than a hard-requirements block and are listed as preferred accordingly.
Read the full posting
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