Salary
💰 $154,500 - $226,600 per year
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPythonSDLCSQL
About the role
- Architect and implement comprehensive IT strategies across four therapeutic areas, ensuring seamless alignment with scientific priorities and business objectives
- Partner with C-suite and therapeutic area leadership to champion ground-breaking digital initiatives that drive competitive advantage
- Build forward-looking technology roadmaps that anticipate and exceed the evolving needs of modern drug discovery
- Collaborate with scientific partners to define and deliver OMICS data capabilities supporting pre-clinical discovery, including scRNA-seq, spatial transcriptomics, proteomics, CRISPR, and PerturbSeq technologies
- Champion the implementation of FAIR (Findable, Accessible, Interoperable, Reusable) data principles to improve research efficiency and reproducibility
- Design and communicate product vision for therapeutic area-specific data platforms that accelerate the drug discovery pipeline
- Establish scalable, cloud-native infrastructure supporting advanced OMICS data acquisition, processing, and analysis
- Lead high-performing, multidisciplinary teams of bioinformaticians, data scientists, software engineers, and product designers
- Apply Agile methodologies to manage sophisticated product development lifecycles spanning multiple therapeutic areas
- Foster a culture of innovation and collaboration that breaks down silos between scientific and technical teams
- Drive clear, critical communication that synthesizes diverse partner perspectives into unified action
- Cultivate strategic relationships with industry-leading technology partners (DNAnexus, Broad Institute, BioTuring, Illumina) and academic institutions
- Evaluate and integrate emerging technologies and data sources with ground-breaking potential for therapeutic research
- Lead vendor selection and partnership negotiations to enhance value and innovation across the portfolio
- Stay ahead of industry trends to find opportunities for competitive differentiation
- Manage multi-million dollar budgets across direct and indirect IT investments for all four therapeutic areas
- Drive operational excellence through process optimization and continuous improvement initiatives
- Ensure timely delivery of high-impact projects while proactively leading risks and dependencies
- Balance innovation investments with operational stability to increase ROI
Requirements
- Deep understanding of OMICS technologies and their application in drug discovery (scRNA-seq, bulk RNA-seq, spatial transcriptomics, proteomics, CRISPR, PerturbSeq)
- Proven expertise in FAIR data principles and modern data governance frameworks
- Sophisticated technical proficiency in SQL, Python, Databricks, and enterprise BI platforms
- Experience navigating regulatory compliance requirements in pharmaceutical data management
- Demonstrated success in developing and implementing science & technology strategies
- Domain expertise in one or more focus areas: Neuroscience, Diabetes & Obesity, Oncology, or Immunology
- Product management certifications (CSPO, CPM) or formal SDLC training
- Cloud platform certifications (Azure, AWS, or GCP)
- Previous experience in therapeutic area strategy or R&D leadership roles
- Track record of successful digital transformation initiatives in pharmaceutical settings
- Publications or presentations demonstrating thought leadership in computational biology or pharma IT
- Exceptional ability to influence and align diverse team members from bench scientists to C-suite executives
- Track record of leading ground-breaking change in complex pharmaceutical organizations
- Outstanding communication skills with proven track record to translate technical complexity into business value
- Experience building and mentoring high-performing, cross-functional teams
- Strategic mentality combined with execution excellence and attention to detail
- Advanced degree (Masters or higher) in life sciences, computational biology, or related field
- 10+ years of progressive experience in biopharma, healthcare technology, or data-intensive life sciences organizations
- 5+ years in technical product management, with demonstrated success in biopharma or healthcare sectors
- 3+ years leading data science, AI, and informatics initiatives with measurable business impact