Data Science Director

2 days ago

Foster City, California, United States Blackpoint Cyber Full time
Job Title: Director, Data Scientist

At Blackpoint Cyber, we believe in empowering our employees with the right leadership. As a people leader now or in the future, we expect you to model and create an inclusive environment, focus on talent hiring, development, growth, and retention, and empower teams to align and achieve goals.

Job Description

Director, Data Scientist

Product Manager, AI-Driven Clinical Trials

The Advanced Analytics team within Clinical Data Sciences is seeking a Director of Data Science to act as product manager for AI-Driven clinical trials, working with clinical development and clinical operations to define, scope, and understand key AI and analytics capabilities needed to optimize clinical trials. In this role, the product manager provides thought leadership on how AI/ML can be leveraged to optimize clinical trials operations, improve diversity in trial recruitment, and enhance data-driven decision making in various workstreams within the clinical development space.

The product manager will work directly with clinical study teams to understand the technical, user experience, and measurable impact that AI-driven and data-driven decisions can make on the speed, cost, execution, and success of clinical trials.

Responsibilities

  1. Work with stakeholders in an agile project management framework to plan, design, and execute projects leveraging AI/ML.
  2. Lead cross-functional teams of business functions, key opinion leaders, research teams, IT organizations, and peer data science organizations to drive the development of data science use cases.
  3. Coach and mentor senior and junior data scientists.
  4. Provide thought leadership on the development of strategic capabilities in the AI/ML space for biotechnology.
  5. Design and implement strategies to create fundamental technical and business process building blocks that inform how AI/ML and analytics make an impact on clinical operations and clinical development.
  6. Partner with cross-functional teams to build industry-leading capabilities in operational AI/ML within the way we execute and run clinical trials.
  7. Work with key business operations partners in clinical operations to define operating metrics and enable predictive analytics to drive trial design and planning to meet or exceed key operations metrics.
  8. Plan and execute the full lifecycle of machine learning models from requirements gathering, exploratory data analysis, visualizations, model training, model evaluation, and model deployment and monitoring.
  9. Act as primary product lead to drive the development of AI use-cases into real-world implementations of AI for clinical operations.
  10. Identify evidence required to make informed decisions from data toward use cases in R&D. Work with IT partners to gather requisite data.
  11. Work with IT partners to operationalize datasets required to support model development and analytics pipelines.
  12. Stay current on the state of the art in machine learning models within the technology and biopharmaceutical industries.
  13. Independently frame business questions from the perspective of data science and derive data-driven solutions.
  14. Design and apply advanced modeling solutions in the areas of statistical analysis, bioinformatics, data automation, data mining, machine learning, and/or data visualization.
  15. Understand key aspects of clinical and real-world data that relate to the optimization of clinical trial conduct and execution.
  16. Recommend data-driven approaches to optimize clinical trials operations.
  17. Interface with cross-functional stakeholders in clinical operations, clinical study teams, and clinical data sciences to facilitate knowledge sharing and build shared understanding of leveraging advanced analytics to drive business improvement.

Education Requirements

Minimum Bachelor's degree with 12 years of experience, Master's with 10 years of experience, or PhD with 8+ years of experience in data science at biotech or technology companies.

Degree in engineering or technology areas including but not limited to data science, software engineering, biomedical engineering, chemical engineering, mechanical engineering, or similar.

Technical Skill Requirements

Operationalization of deep learning algorithms at scale

Understanding of model evaluation & scoring including avoidance of model bias

Python or R, SQL

Understanding of Cloud DevOps on AWS related to data science operations.

Experience translating ground-up AI/ML research into functional packages to support applications

Project Skill Requirements

Project management skillsets

Product management mindset and understanding

Translating stakeholder needs into technical requirements

Scoping project requirements and building timelines

Code management using Git

Technical documentation

Salary Range

$214,795.00 - $277,970.00

Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans.

Benefits Information

For additional benefits information, visit: Gilead Benefits

Equal Opportunity Employer

As an equal opportunity employer, Gilead Sciences Inc. is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws.

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