Senior Director, AI Data Science
for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must include only sections with real content. The posting includes Summary/Job Purpose (we can treat as About the role). Essential Duties/Responsibilities (Responsibilities). Education/Experience/Knowledge/Skills & Abilities (we can split into Education, Experience, Required Knowledge, Skills and Abilities). Travel Requirements (maybe Schedule? Actually travel is not schedule; but we could put under Schedule? Not exactly. Travel is not schedule; we could maybe not include Schedule unless posting states schedule. It does not mention schedule (like work hours). So we omit Schedule. Pay: there is base pay range and details, so include Pay section. Benefits: there is benefits description, include Benefits. Also maybe include Travel? Not required heading; we could fold into a short p under About the role or maybe under Responsibilities? But we should not create a heading unless we have content. Travel could be included under a short p maybe under About the role? But we need to preserve all substantive info. Travel Requirements 20% Ability to travel globally. Could be placed in a
under About the role or maybe under a separate heading? Since there is no heading for Travel in the list, we can just include it in a paragraph under About the role or maybe under Responsibilities? Better to put under About the role as a note. We must not repeat job title as heading. No Job ID. We must remove boilerplate: EEO, disclaimer, accommodation, working conditions? Working conditions maybe not required heading; but we could include as a paragraph under About the role? The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. Working Conditions is not exactly boilerplate but maybe considered generic; but we can keep if it's substantive? It says "Our office is a modern space..." Might be considered boilerplate but it's descriptive. Safer to keep? The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. Working Conditions is not listed; but it's somewhat generic. I'd keep it as a paragraph under About the role maybe. We must not include sections with filler like "commensurate with experience". Not present. We need to use
- for any list of duties/requirements/benefits. So for Responsibilities we should list each duty as
- . For Education/Experience/Knowledge/Skills & Abilities we might have sub-sections: Education, Experience, Required Knowledge, Skills and Abilities. Could use headings
for each? The instruction: use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It suggests those are possible headings; but we can also use other headings if they match content? It says use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Likely they expect those headings only. So we should map content to those headings. Let's map: - About the role: Summary/Job Purpose + maybe supervisory responsibilities + travel + working conditions. - Responsibilities: Essential Duties/Responsibilities list. - Requirements: maybe Education/Experience/Knowledge/Skills & Abilities combined? Could be Requirements. - Qualifications: maybe not separate; we could skip if not distinct. - Skills: maybe Required Knowledge, Skills and Abilities could go under Skills. - Benefits: Benefits description. - Pay: base pay range and details. - Schedule: not present, omit. We must not create empty headings. So we will include About the role, Responsibilities, Requirements, Skills, Benefits, Pay. We need to ensure we don't repeat content. Let's extract content. About the role: Summary/Job Purpose paragraph: "The Senior Director, AI Data Science is a senior leader accountable to help shape and execute the strategy, operating model, and innovation roadmap for AI/ML and data science in support of the Data and Statistical Sciences and wider Development organization. A key focus is ensuring operational efficiency gains. This role helps establish the scientific and methodological standards that translate complex clinical, operational, translational, and real-world datasets into high-quality, actionable insights that inform drug-development decisions. As part of the Center of Data Excellence, the Senior Director builds and leads a multidisciplinary team; helps shape the AI/ML investment and platform strategy; and serves as a thought leader and partner across Biostatistics, Statistical Programming, Clinical Data Management, IT, and the broader R&D organization." Supervisory Responsibilities: "Leads a functional team, including direct management of managers and/or senior individual contributors. Indirectly supervise employees in other functions through a dotted line structure or via other subordinate supervisors." Travel Requirements: "20% Ability to travel globally" Working Conditions: "Our office is a modern space that fosters collaboration and creativity. Teams work closely together, sharing ideas and solutions in a supportive atmosphere. We provide all necessary equipment, including dual monitors and ergonomic chairs, to ensure a comfortable workspace." We could combine these into About the role paragraph(s). Might be multiple
tags. Responsibilities: list each duty from Essential Duties/Responsibilities: - Help define and drive the multi-year AI/ML and data science strategy, roadmap, and operating model for the function, aligning investments with portfolio priorities and enterprise objectives. - Lead and develop a high-performing team; set goals, allocate resources, manage performance and drive succession and talent development. - Establish standards and acceptance criteria for AI/ML model development, validation, interpretability and responsible/Generative-AI use in a regulated environment. - Serve as a senior scientific and strategic partner to Biostatistics, Statistical Programming, Clinical Data Management, IT and broader R&D, helping shape strategies that enable efficiencies and portfolio decisions. - Guide the design and scale-up of analytics products, LLM-based and Generative-AI workflows (e.g., automated TLF review, protocol digitalization), and decision-enablement dashboards from prototype through production hand-off. - Oversee the data platform, pipeline and reproducibility strategy on Databricks and cloud infrastructure, helping set standards for MLOps/LLMOps, version control, security, and audit-readiness. - Contribute to the AI governance, risk-management and compliance framework in cross-functional partnerships. - Represent Exelixis externally through publications, conference presentations, white papers, and industry engagement. - Champion a culture of scientific rigor, innovation, mentorship, and continuous learning across the data science team. - Performs other duties as assigned - Complies with all policies and standards We should keep them as list items. Requirements: Education/Experience/Knowledge/Skills & Abilities section includes Education, Experience, Required Knowledge, Skills and Abilities. We could combine into Requirements. But we also have Skills heading separate. Perhaps we put Education/Experience under Requirements, and Required Knowledge, Skills and Abilities under Skills. Let's do that. Requirements: Education and Experience. Education: list the options: - Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics or a related quantitative field and a minimum of 15 years of experience; or, - Master's degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics or a related quantitative field and a minimum of 13 years of experience; or, - PhD in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics or a related quantitative field and a minimum of 12 years of experience; or, - Equivalent combination of education and experience We can put as
- each.
Experience: bullet points:
- Significant experience leading the development and deployment of AI/ML and data science solutions in a clinical, pharmaceutical, or life-sciences setting, including in GxP-regulated environments.
- Demonstrated experience leading and building teams (including managing managers), setting functional strategy, and managing budgets and external partnerships.
- Proven track record influencing executive and cross-functional stakeholders and translating advanced analytics into portfolio-level decisions.
- Experience establishing AI governance, validation and compliance frameworks; familiarity with CDISC standards (SDTM, ADaM) and clinical endpoint analysis strongly preferred.
We can list as
- .
Skills: Required Knowledge, Skills and Abilities bullet list:
- Strategic leadership; ability to help set the operating model and multi-year roadmap for the AI/ML and data science function.
- Advanced command of AI/ML and statistical methodology, including supervised/unsupervised learning, NLP, and Generative-AI, with the judgment to set standards for rigor and interpretability.
- Working fluency in Python, R, and SQL sufficient to guide technical direction and evaluate solution quality.
- Strong understanding of modern data platforms (Databricks, AWS), MLOps/LLMOps, version control (Git/GitHub), and reproducible, secure, audit-ready architectures.
- Advanced understanding of the clinical development process and regulatory requirements (ICH, GxP) and AI governance in a regulated setting.
- Executive-level communication, influencing, and stakeholder-management skills across technical and non-technical audiences.
- Proven people leadership, mentorship, and organizational development capability.
- Strong business acumen, including budget ownership and vendor/partnership management.
We can list as
- .
Benefits: paragraph: "In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year."
Pay: paragraph(s): "Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this position is $244,000 - $346,000 annually. The base pay range may take into account the candidate’s geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate’s geographic region, job-related knowledge, skills, experience and internal equity, among other factors."
We could also mention that base pay offered will take into account... Already included.
We should not include the accommodation email, disclaimer, EEO, working conditions? We included working conditions in About the role maybe. But we could keep it as a separate paragraph under About the role.
We must not include the "If you have a disability..." accommodation line; that's application instruction? It's about accommodation request; maybe considered application instructions; we should remove.
We must not include the disclaimer about job description not comprehensive, EEO statement. Remove.
Now produce HTML fragment.
Structure:
About the role
Summary/Job Purpose text...
Supervisory Responsibilities text...
Travel Requirements text...
Working Conditions text...
Responsibilities
- ... ...
Requirements
Education
maybe we shouldn't use h4 because only h3 allowed? The instruction says usefor section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't forbid other headings, but to be safe we could keep only h3 headings and put education/experience as paragraphs or lists directly under Requirements. Could use
for Education heading? But we need to preserve structure. Could do
Education
- .
Benefits: paragraph: "In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year."
Pay: paragraph(s): "Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this position is $244,000 - $346,000 annually. The base pay range may take into account the candidate’s geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate’s geographic region, job-related knowledge, skills, experience and internal equity, among other factors."
We could also mention that base pay offered will take into account... Already included.
We should not include the accommodation email, disclaimer, EEO, working conditions? We included working conditions in About the role maybe. But we could keep it as a separate paragraph under About the role.
We must not include the "If you have a disability..." accommodation line; that's application instruction? It's about accommodation request; maybe considered application instructions; we should remove.
We must not include the disclaimer about job description not comprehensive, EEO statement. Remove.
Now produce HTML fragment.
Structure:
- .
Skills: Required Knowledge, Skills and Abilities bullet list:
- Strategic leadership; ability to help set the operating model and multi-year roadmap for the AI/ML and data science function.
- Advanced command of AI/ML and statistical methodology, including supervised/unsupervised learning, NLP, and Generative-AI, with the judgment to set standards for rigor and interpretability.
- Working fluency in Python, R, and SQL sufficient to guide technical direction and evaluate solution quality.
- Strong understanding of modern data platforms (Databricks, AWS), MLOps/LLMOps, version control (Git/GitHub), and reproducible, secure, audit-ready architectures.
- Advanced understanding of the clinical development process and regulatory requirements (ICH, GxP) and AI governance in a regulated setting.
- Executive-level communication, influencing, and stakeholder-management skills across technical and non-technical audiences.
- Proven people leadership, mentorship, and organizational development capability.
- Strong business acumen, including budget ownership and vendor/partnership management.
We can list as
- each.
Experience: bullet points:
- Significant experience leading the development and deployment of AI/ML and data science solutions in a clinical, pharmaceutical, or life-sciences setting, including in GxP-regulated environments.
- Demonstrated experience leading and building teams (including managing managers), setting functional strategy, and managing budgets and external partnerships.
- Proven track record influencing executive and cross-functional stakeholders and translating advanced analytics into portfolio-level decisions.
- Experience establishing AI governance, validation and compliance frameworks; familiarity with CDISC standards (SDTM, ADaM) and clinical endpoint analysis strongly preferred.
We can list as