WHY PATIENTS NEED YOU
Pfizer’s purpose is to deliver breakthroughs that change patients’ lives. Research and Development is at the heart of fulfilling Pfizer’s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world.
POSITION SUMMARY
It is our mission to strengthen the oversight of our clinical data through stronger ownership, control and visibility. You will play an important role in processing, reviewing and receiving clinical data and records and from therapeutic groups as well as internal and external investigators. You will ensure that accurate, timely and consistent data reaches the clinical teams and other groups.
Data in pharmaceutical research has constantly increased in both volume and complexity and its correct interpretation in a biomedical context has become more and more dependent on advanced analytical and data management skills.
As the Senior Director, Head of AI for Clinical Data Sciences, you will be responsible for helping to accelerate drug discovery by enhancing our decision-making process, working with a wide range of roles to extract actionable insights from complex data sets.
It is your leadership and expertise that will make Pfizer ready to achieve new milestones and help patients across the globe.
KEY RESPONSIBILITIES
You act as the key scientific and technical Artificial Intelligence expert for Clinical Data Sciences; defines and drives the data monitoring and management strategy and standards in the AI space, utilizing techniques such as RPA, Natural Language Processing, Machine Learning, genAI, etc., across all areas of Clinical Data Sciences (CDS) (including data management, Risk-Based Monitoring, Data Surveillance and standards). Operationally manages the application and utilization of AI technologies and practices within CDS organization.
Leads Team of AI experts in CDS and at vendor (50+ team members) to spearhead key innovative AI/ML projects for CDS
Represents CDS and supports AI and innovation related interactions with external vendors, Digital, COE, senior leaders, and representatives across GBDM. Actively coordinates resources to ensure successful AI project implementation outcomes.
Defines and effectively communicates to CDS colleagues and partner organizations AI project requirements and partners with QA to follow all appropriate standards for compliance.
Partners with colleagues to ensure alignment of data quality across CDS, preferred partners, Development China and Development Japan.
Proactively identifies issues, successfully leading initiatives which result in continuous improvement and quality deliverables across CDS.
Defining and driving the AI strategy to create a roadmap detailing the short and long term implementation for CDS, including techniques from RPA (robotic process automation) ML (machine learning), NLP (natural language processing), genAI, etc.
Sets industry precedent with regulators as a key leader in space.
MINIMUM QUALIFICATIONS
Bachelor’s degree in a field such as Statistics, Mathematics, Statistics, Economics, Physics, Engineering, etc. Master’s Degree Preferred.
Demonstrated ability in the application of Machine Learning/AI in real-world settings with large scale data
15+ years of experience in the IT or appropriate industry preferred
5+ years of experience with Machine Learning and Artificial Intelligence techniques and tools
8+ years of experience with data sources and platforms
At least 10 years in a leadership role.
PREFERRED QUALIIFICATIONS
Flexibility, problem-solving and leadership skills, genuine intellectual curiosity, borderless ideation and eagerness to contribute are key elements of the position.
Excellent communication skills to ensure alignment between computational and life scientists, Business Technologists, and physicians, as well as management.
A confident leader and subject matter expert, to drive innovation.
The individual should have demonstrable experience and passion for mathematics, statistics, signal processing, image analysis, machine learning, data mining, and data visualization.
Deep knowledge of scripting and analytics software, including R, Python, Pipeline Pilot, KNIME or equivalent.
Excellent theoretical understanding and real hands-on experience with deep learning and a range of more classical supervised and unsupervised machine learning methods, including but not limited to ensemble learning techniques (e.g. boosting, Random Forests) kernel methods (e.g. SVM), (non-linear) dimensionality reduction and feature selection methods are required. Practical knowledge of Bayesian methods and Natural Language Processing is a plus.
Demonstrable expertise with various machine learning packages, including deep learning toolkits (e.g. TensorFlow, mxNet, Theano or others).
Fluent in big data management tools, such as Hadoop, NoSQL datastores as well more traditional relational databases
Good understanding of the Drug Development is preferred.
Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
Work Location Assignment: On premise
Relocation assistance may be available based on business needs and/or eligibility.
Sunshine Act
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.
Medical#LI-PFEYearly based
USA - CT - Groton