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BioNTech SE · 1 day ago

Director, Data Science

Berkeley Heights

Full-time

Onsite

Director/Executive

$168K/yr - $269K/yr

10+ years exp

BioNTech SE is a leading biotechnology company focused on innovative therapies. The Director, Data Science will lead the development and application of advanced analytics and AI/ML to support product commercialization efforts across various functions within the US affiliate.

Health Care

Responsibilities

Develop and deploy AI/ML models and statistical solutions to address business needs such as patient prediction, customer segmentation, next best action and omnichannel optimization

Design and execute statistical analyses to interpret diverse datasets, including pharmaceutical commercial data and other relevant sources, and uncover actionable insights and meaningfully impact business performance

Utilize Databricks for data exploration, model development and deployment

Collaborate with cross-functional teams to define project scopes and deliver data-driven solutions

Stay current with industry trends, emerging technologies, and best practices in data science while ensuring ethical and compliant analytics practices

Manage external vendors to ensure timely and high-quality delivery of analytics projects

Qualification

AI/ML frameworksStatistical modelingData SciencePythonDatabricksVendor managementCommunication skillsTeam managementAdaptability

Required

A Bachelor's degree in a related field such as Data Science, Statistics, or Computer Science

A minimum of 10+ years in data science, with 6+ years of experience in the pharmaceutical industry focusing on AI/ML and statistical applications

Advanced proficiency in Python, R, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), with expertise in statistical modeling techniques (e.g., regression, time series analysis, machine learning algorithms, Bayesian methods) applied to commercial and operational domains in the pharmaceutical industry

Experience with Databricks or similar cloud-based analytics platforms

Strong communication skills to present complex AI/ML and statistical analyses to non-technical stakeholders

Proven ability to balance hands-on technical work with vendor management and strategic collaboration

Passionate about leveraging data science, automation and artificial intelligence to drive value creation, optimize operations, and deliver actionable insights aligned with business needs, including learning about the Oncology therapy area and company priorities

Adaptability to rapidly changing environments

Ability to work effectively within large and complex organizations

Prior team management experience