Director, Data Science
Role details
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Job description
Oncology Research Vaccines Marketing Leadership Governance Innovation Biomarkers Statistics Compassion Mathematics Immunoassay Data Science Pharmacology Due Diligence Biostatistics Data Modeling Collaboration Animal Health Immunotherapy Decision Making Talent Strategy Database Design Small Molecules Drug Development Pharmacodynamics Pharmacokinetics Machine Learning Telephone Skills Data Engineering Biopharmaceutics Resource Planning Biopharmaceuticals Influencing Skills Regulatory Filings Data Visualization Medical Prescription Business Development Software Development Contingent Workforce Strategic Leadership Clinical Pharmacology Business Intelligence Waterfall Methodology Computational Biology Performance Management Translational Medicine Dealing With Ambiguity Biomedical Engineering Artificial Intelligence Relationship Management Pharmaceutical Sciences Pre-Clinical Development Verbal Communication Skills Ethical Standards And Conduct Influencing Without Authority Interdisciplinary Collaboration Biologics License Applications (BLA) Non-Disclosure Agreement (Intellectual Property Law), Senior Directors are recognized scientific thought leaders who develop and implement clinical pharmacology strategies with a focus of utilizing MIDD strategies to advance drug development. This would include translational PK/PD strategies, biomarker-driven dose selection approaches, pharmacometric modeling and other quantitative approaches (e.g. QSP, AI/ML) for key development and regulatory decisions.
This role provides strategic leadership and scientific oversight across a significant portion of the oncology portfolio. The Senior Director, Group Leader will lead a team of QP2 scientists and serve as a key contributor to oncology program strategy by applying model-informed drug development (MIDD) approaches to support critical decisions.
Reporting directly to the QP2 Oncology Executive Director, the individual will collaborate closely with the QP2 Oncology Leadership team and broader organization to ensure consistent, high-value quantitative pharmacology contributions throughout the oncology portfolio. The role requires strong collaboration with cross-functional partners, including Clinical Development, Translational Medicine, Biostatistics, and Regulatory, as well as alignment with preclinical partners to inform first-in-human and clinical development strategies.
Primary Responsibilities:
Strategic & Scientific Leadership
- Lead and shape quantitative pharmacology strategy across oncology programs to inform key development decisions (e.g., dose selection, trial design, go/no-go decisions)
- Develop and implement integrated MIDD strategies to support decision-making across development stages
- Ensure alignment of modeling strategies with regulatory expectations and business priorities
- Maintain a comprehensive understanding of global regulatory expectations for small molecules, biologics including new modalities such as ADCs and TCEs
Team Leadership & Organizational Impact
- Lead, mentor, and develop a team of QP2 scientists, including performance management, hiring, retention, and talent development
- Provide scientific and operational oversight to team members, ensuring high-quality and timely deliverables
- Contribute to broader QP2 and Oncology leadership initiatives, including talent strategies and organizational priorities
- Identify and support resource planning and allocation in partnership with senior leadership
Program & Cross-Functional Leadership
- Serve as QP2 lead on assigned programs and represent QP2 in cross-functional teams and governance forums
- Collaborate with Translational, Clinical, and Biostatistics teams to integrate quantitative insights into development strategies
- Partner with preclinical teams to ensure appropriate translation of nonclinical findings into clinical development plans
- Contribute to due diligence for business development and licensing opportunities
Regulatory & External Engagement
- Develop and contribute to regulatory strategies, including authoring and reviewing key documents (e.g., INDs, CSRs, CTD modules, NDA/BLA submissions)
- Ensure delivery of high-quality clinical pharmacology and pharmacometric analyses and reports
- Represent the company in interactions with regulatory agencies, scientific conferences, and external collaborations, Oncology Research Vaccines Marketing Leadership Governance Innovation Biomarkers Statistics Compassion Mathematics Immunoassay Data Science Pharmacology Due Diligence Biostatistics Data Modeling Collaboration Animal Health Immunotherapy Decision Making Talent Strategy Database Design Small Molecules Drug Development Pharmacodynamics Pharmacokinetics Machine Learning Telephone Skills Data Engineering Biopharmaceutics Resource Planning Biopharmaceuticals Influencing Skills Regulatory Filings Data Visualization Medical Prescription Business Development Software Development Contingent Workforce Strategic Leadership Clinical Pharmacology Business Intelligence Waterfall Methodology Computational Biology Performance Management Translational Medicine Dealing With Ambiguity Biomedical Engineering Artificial Intelligence Relationship Management Pharmaceutical Sciences Pre-Clinical Development Verbal Communication Skills Ethical Standards And Conduct Influencing Without Authority Interdisciplinary Collaboration Biologics License Applications (BLA) Non-Disclosure Agreement (Intellectual Property Law) +0
Salesforce Developer Director, Data Science Novartis Pharmaceuticals Corp.
East Hanover, NJ*On-Site
Teamwork Innovation Algorithms Statistics TensorFlow Scalability Data Science Team Building Deep Learning Pharmaceuticals Microsoft Azure Problem Solving Decision Making Business Process Computer Science Machine Learning Decision Science Restricted Stock BERT (NLP Model) Edge Intelligence Amazon Web Services Recommender Systems Time Off Management Programming Languages Operational Efficiency Artificial Intelligence Large Language Modeling Data-Driven Decision Making Team Performance Management Python (Programming Language) Organizational Culture Change Continuous Improvement Process Generative Artificial Intelligence PyTorch (Machine Learning Library) Applications Of Artificial Intelligence +0 Senior Director, Data Science Merck & Co., Inc
Rahway, NJ*On-Site
Planning Oncology Research Vaccines Marketing Leadership Governance Innovation Biomarkers Statistics Compassion Mathematics Immunoassay Data Science Pharmacology Due Diligence Biostatistics Data Modeling Collaboration Animal Health Immunotherapy Decision Making Talent Strategy Database Design Small Molecules Drug Development Pharmacodynamics Pharmacokinetics Machine Learning Telephone Skills Data Engineering Biopharmaceutics Resource Planning Biopharmaceuticals Influencing Skills Regulatory Filings Data Visualization Medical Prescription Business Development Software Development Contingent Workforce Strategic Leadership Clinical Pharmacology Business Intelligence Waterfall Methodology Computational Biology Performance Management Translational Medicine Dealing With Ambiguity Biomedical Engineering Artificial Intelligence Relationship Management Pharmaceutical Sciences Pre-Clinical Development Verbal Communication Skills Ethical Standards And Conduct Influencing Without Authority Interdisciplinary Collaboration Biologics License Applications (BLA) Non-Disclosure Agreement (Intellectual Property Law) +0
Requirements
- Ph.D. in pharmacokinetics/pharmacodynamics, pharmacometrics, mathematics, statistics/biostatistics, chemical/biomedical engineering, or related discipline with 10 years of relevant pharmaceutical industry experience, * Master's, PharmD, or equivalent degree with 15 years of relevant pharmaceutical industry experience, with a demonstrated record of increasing responsibility, independence, and leadership in similar roles., * Educational background in biopharmaceutics, pharmaceutical sciences, pharmacometrics, chemical/biomedical engineering, mathematics, computational biology, or a related field
- Oncology therapeutic area or disease knowledge
- Demonstrated ability to lead an interdisciplinary team or taskforce, and/or to oversee the work of others
- Extensive experience in developing quantitative strategies for impacting pipeline decisions, and drug development expertise
- Ability to influence regulatory strategies including prior experience independently authoring and defending regulatory filings for marketing authorization (NDA/MAA)
- Record of ability to operate in an inclusive and high-performance work environment applying enterprise ways of working principles including fostering collaboration and driving results, while managing ambiguity
- Relevant regulatory and quantitative pharmacology experience
- Proficiency in written and verbal communication, interdisciplinary collaboration, and problem scoping and planning
Required Skills: Biopharmaceutical Industry, Biopharmaceuticals, Biopharmaceutics, Business Intelligence (BI), Computational Biology, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Drug Development, Due Diligence, Immunoassays, Immunotherapy, Machine Learning (ML), Pharmacodynamics, Pharmacokinetics, Pharmacotherapeutics, Product Approvals, Software Development, Stakeholder Relationship Management, Waterfall Model
Benefits & conditions
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The salary range for this role is $210,400.00 - $331,100.00