At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.
Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact.
We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together.
Job Description
RESPONSIBILITIES:
· Plays a key role in the ongoing continuous improvement of descriptive statistics, data engineering, model building and evaluation, prediction, visualization and automation for business use.
· Plays a lead role in development of team and department-level standards, tools and templates.
· Provides matrix leadership to small teams in the development and maintenance of data science processes and applications.
· Defines and designs the overall data science solution architecture for assigned groups or projects.
· Coordinates infrastructure requirements with the business and IT to support the data science solution architecture.
· Designs data science workflows for the assigned area, incorporating best practice statistical analysis, data engineering, automation and visualization, deep learning and other contemporary machine learning techniques, models and tools.
· Builds, implements, tests, deploys and maintains innovative data and Machine Learning solutions to improve clinical trials and other business operations.
· Performs statistical analysis of results to tune / refine Machine Learning models.
· Collaborates with scientists, engineers, product managers and other business stakeholders to design and implement software solutions.
· Uses Machine Learning best practices to ensure a high standard of quality for all deliverables.
· Creates and manages resource plans for assigned work. Identifies cross-project synergies to leverage efficiencies and ensure consistencies where appropriate.
· Ensures assigned work complies with established practices, policies and processes and any regulatory or other requirements.
REQUIREMENTS:
We are all different, yet we all use our unique contributions to serve patients. Please see the following for the qualifications and skills we seek for this role.
Basic Qualifications:
PhD in computer science, engineering, information systems or related discipline with 2+ years’ data science experience. PhD with 6+ years’ data science experience is preferred OR MS in computer science or related discipline with 8+ years’ data science or relevant quantitative experience OR BS in computer science or related discipline with 10+ years’ relevant experience in data science.
Preferred Qualifications:
· An academic focus on Artificial Intelligence / Machine Learning.
· Significant experience leading data science projects and project teams with a minimum of 2 years’ cross-functional project management or leadership experience.
· Significant experience in end-to-end data science techniques, including data engineering, statistical analysis, modeling, visualization, presentation and warehousing.
· Significant experience building Machine Learning models and libraries.
· Strong programming skills in key languages used by Data Science, e.g., Python, SQL etc., with proven capabilities to manipulate large and sophisticated datasets using distributed computing technologies.
· Significant experience engineering and architecting data lakes, data warehouses and big data storage and platforms on AWS.
· Significant experience working with modern high-performance columnar storage formats.
· Strong proficiencies in problem-solving, algorithm design and complexity analysis.
· Significant experience contributing to open-source projects.
· Experience training others in data science principles, practices and tools.
· A track record in publications within own field is strongly preferred.
Knowledge & Other Requirements
· Has advanced knowledge in two or more key areas, such as statistical analysis, data automation, data mining and/or data visualization, as evidenced by increasing independence in managing data science deliverables.
· Has advanced knowledge of data science best practices and tools and has a track record of applying this to significantly improve decision-making effectiveness and efficiencies.
· Demonstrated ability to be a fast learner.
· Demonstrated ability to be flexible and adaptable to change, to move between projects easily and provide support/expertise where needed.
· Proven analytical abilities with high attention-to-detail as demonstrated through past experiences and/or academic achievements.
· Strong knowledge of software development methodologies and tools.
· Strong knowledge of modern Machine Learning architectures, platforms and backend systems. Proven ability to develop highly complex Machine Learning models for automated data analysis.
· Has advanced knowledge of cloud Machine Learning services.
· Proven ability to conduct effective and efficient exploratory analysis on large volumes of data and identify key descriptive and inferential properties.
· Demonstrated mindset of commit early and often, metrics before models, and shipping high-quality production code.
· Strong communication and organizational skills.
· Proven effectiveness leading and influencing programs, projects and / or initiatives.
· Strong leadership presence with demonstrated ability to lead without authority and influence programs, projects and/or initiatives.
· When needed, ability to travel.
For additional benefits information, visit:
https://www.gilead.com/careers/compensation-benefits-and-wellbeing
* Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans.
Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex, 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. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance.
For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster.
NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT
YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT
Gilead Sciences will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, (c) consistent with the legal duty to furnish information; or (d) otherwise protected by law.
Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team.
Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion.
Please apply via the Internal Career Opportunities portal in Workday.