Director, Global Functions, Data Science Digital Health
$160k - $276kJohnson and Johnson
At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at
Job Function:Project/Program Management Group Job Sub Function:
R&D Project Management Job Category:
Professional All Job Posting Locations:
Cambridge, Massachusetts, United States of America, Horsham, Pennsylvania, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at We are searching for the best talent for the role of Director, Global Functions, Data Science Digital Health. We have a strong preference for this hybrid position to be located at one of the following offices; Titusville, NJ; Raritan, NJ; New Brunswick, NJ; Spring House, PA; Horsham, PA; Cambridge, MA; or San Diego, CA. Remote work options in the US may be considered on a case-by-case basis and if approved by the Company. At Johnson & Johnson Innovative Medicines R&D, the Data Science & Digital Health (DSDH) function is charged with applying analytic approaches to drug discovery and development across Therapeutic Areas. We drive and shape internal and external collaborations, working across Janssen's Therapeutic Areas and R&D functions, including Global Development and other areas. The Global Functions, Data Science & Digital Health (G F , DSDH ) group within the R&D Data Science organization has the accountability for full scale impact across the Development pipeline via AI/ML-driven site recommendation trial design optimization, real-world evidence (RWE) generation, digital endpoints, decentralized trials, and external policy, with the key pillars being:
- Manage the development of solutions for the purpose of d riving Trial A cceleration & O ptimization using data scienc e, including but not limited to :
- Enrollment modeling, f easibility a nalytics , country footprint expansion, advanced AI/ML modeling for predictive site recommendations
- Leverage real-world data for patient matching and enhancing patient representation in clinical trials
- Protocol Design Optimization- evaluating and proposing options for eligibility optimization, hybrid trials, and decentralized clinical trials models
- RCT-RWD registries and implementation via data tokenization across the prioritized portfolio and other RWE innovations
- Work with real world data (RWD), clinical trial performance data, and other industry data sources to support building and maintaining solutions to improve the study feasibility process, improve operations outcomes and trial productivity.
- Oversee product management for existing and new solutions , working with data science colle agues and global development teams as subject matter experts, perform requirement analysis, assess data needs, and manage product management for existing and new software solutions. Including maintaining the product roadmap to ensure a cohesive product integration vision.
- Drive solution implementation of initiatives , develop testing strategies, training plans, and other standard enterprise-wide software implementation strategies. This will include establishing KPIs to test the usage, and outcomes for the solutions and ensuring user-engagement.
- Work with internal and external partners to capture data required to measure outcomes and KPIs, capture data from CRO partners, internal CTMs and financial systems to ensure to extract data for measurement of solution outcome.
- A minimum of a Masters' degree is required. PhD in data-heavy sciences (physics, genetics, biology, data engineering) or related is preferred.
- 8-10 years of relevant experience in clinical trial start-up/execution, applied technology, or pharma /biotech/medtech industry business operations is required.
- 5+ years Data Analytics experience with proven track record of success for driving forward large initiatives by generating buy-in, managing multiple complex projects, and continuously completing excellent quality analytics is required.
- Familiarity with modern software development and product management tools including, SQL, Python, R, github, Jira, etc.
- People Management and experience leading functional teams with proven ability to foster team productivity and cohesiveness.
- Experience with enterprise software product management and oversight of enterprise software solutions with a deep understanding of clinical development and relevant business applications.
- Strong and proactive stakeholder engagements skills are critical to be successful in this role.
- Ability to influence change, define new processes and establish new team norms.
- Experience in analytical and modelling tools, large data sets, and data analysis workflows with demonstrated fluency in statistical and analytical principles delivering robust, timely, high-quality analytics.
- Excellent verbal and written communication skills, with ability to deliver focused, concise, clear, and timely data and technology assessments to Feasibility and leadership team.
- Working knowledge of large life science industry data sets such as large claims data set and clinical trial performance data and integration of the data into data modeling, analysis, and software development processes.
- Strong Project management and organizational skills with ability to manage and execute multiple projects simultaneously is highly preferred.
- Expert in clinical trial operational datasets such as CTMS and operational benchmarks
- Hands-on experience working with dataset (Healthverity, Komodo) in the clinical trial feasibility or acceleration models.
- Experience with Integrated Site Analytics, Diversity and Patient Matching., and tokenization, and real-world models
- Knowledge of Healthcare delivery systems/networks in US and Key markets preferred.
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