Joseph Szustakowski

About Joseph Szustakowski

Results driven data science executive with 20+ years of experience in the biopharma industry. Strong track record of building and leading global, matrixed, high performance, collaborative data science teams. Strategic thinker focused on aligning innovative analytical capabilities with enterprise objectives, resulting in concrete impact on pipeline programs, patient benefit, and company revenue. Ability to navigate and manage many types of change (organizational, strategic, budget, etc.)Data Science, AI, Machine Learning• Development and deployment of AI/ML methods for concrete portfolio impact- LLM agentic algorithms to generate draft documents for internal use, regulatory submissions, etc- AI ”super-advisors” to optimize asset strategies, clinical trial protocols, etc- Natural language explorations of databases- Accurate translation of scientific documents • Deep Learning for digital pathology image analysis- Replicate human pathologists in a consistent and scale-able manner- Generate automated, multi-dimensional signal detections- End-to-end deep learning algos to predict tumor state, patient outcomes, etc.• Modern machine learning methods to analyze structured, numerical data- Assessment of clinical trial site eciency, prediction of recruitment rates- Interpretable techniques to analyze clinical trial exploratory biomarker dataScientific Leadership• Identification of novel targets currently in clinical trials• Analysis and interpretation of exploratory data from 100s of clinical trials (oncology and non-oncology)• Identify and validate predictive biomarkers, enhance disease and drug mechanism understanding• Executive sponsor and representative for Real World Data / Human Genetics consortia (UK Biobank Exome Sequencing Consortium (UKB-ESC paper), UK Biobank Pharma Proteomics Project paper), etc.)• Exploration of multi-modal clinical trial and real world patient data in complex diseasesBusiness Strategy, External Executive Presence• Contributed to multiple enterprise level strategies• Due diligence assessments for multiple acquisitions, investments, licenses, and partnerships• Core member of several Joint Steering/Executive Committees (JSC, JEC)• Organized, led, and participated in multiple key, high-profile external congresses, councils, and forumsTalent Management• Planned and executed multiple successful build-ups, reboots, and restructures• Consistent history of recruiting, retaining, and developing top talent• Managed, coached, or mentored 25+ colleagues that now hold Director level+ roles

Experience

1. Vice President, Head of Clinical Development Data Science and Ai

   Genmab

   Jun 2024 — Present · Princeton, NJ, US

   Building and leading a new, global team of data scientists, focused on innovative methodologies to streamline and optimize our clinical development processes and outcomes.Collaborating with cross-functional teams, including Clinical Operations, Regulatory Affairs, Safety, Global Medical Affairs, and Manufacturing to align data science initiatives with broader clinical and business objectives.

Education

• University at Buffalo

  BS, Physics

  1991 — 1995

• Boston University

  PhD, Biomedical Engineering

  1996 — 2003

Skills

• Data Science
• Biomarkers
• Leadership
• R
• R&D
• High Throughput Screening
• Translational Research
• Translational Medicine
• Molecular Genetics
• Rt-Pcr
• Personalized Medicine
• Software Development
• Exome Sequencing
• Systems Biology
• Project Management
• Big Data
• Bioconductor
• Drug Discovery
• Next Generation Sequencing
• Analytics
• Sequence Analysis
• Pharmaceutical Industry
• Dna Sequencing
• Biomarker Discovery
• Gene Expression Profiling
• Disease Gene Hunting
• Data Analysis
• Drug Development
• Microarrays
• Genomics
• High Performance Computing
• Biotechnology
• Life Sciences
• Scientific Management
• Bioinformatics
• Microarray Analysis
• Cell
• Ngs
• Clinical Trials
• Microarray