Posted:
4/25/2024, 5:00:00 PM
Location(s):
California, United States ⋅ Foster City, California, United States
Experience Level(s):
Senior
Field(s):
Data & Analytics
Please log onto your Internal Career Site to apply for this job.
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.We have an exciting opportunity for a scientific leader with deep analytical and computational expertise in Research Data Sciences at Gilead. This individual will play a key role within multidisciplinary research teams developing and applying advanced analytical methods, AI/ML, statistical modeling, to support Gilead’s expanding research programs and discovery capabilities.
Responsibilities
• Provide deep expertise in statistical and ML methods, and applications to accelerate research discovery.
• Establish and drive external collaborations in cutting-edge analytical method development and technology platforms.
• Collaborate with cross-functional teams to identify, evaluate, and deliver solutions to support Gilead Research objectives.
• Hands-on analysis of internal and external datasets and development of AI/ML models to support decision making and scientific insights.
• Collaborate cross therapeutic areas to deliver impact on research programs, examples including but not limited to statistical modeling of TCR repertoires, deep learning for peptide-MHC-binding and antigen epitopes predictions, etc.
• Mentor junior scientists in a matrix environment
• A proactive and self-motivated individual with strong work ethic and scientific rigor, ability to work in a dynamic environment and able to manage multiple objectives in parallel and adapt to changing priorities
Required Qualifications:
• PhD in computational biology, computer science, data science, physical science, statistics, or a related field with a minimum of 10+ years of relevant work experience. Industry experience and people management experience is preferred
• Demonstrated track record and expertise in AI/ML method development and applications, e.g. deep neural networks, active learning, Bayesian optimization, LLM, etc.
• Excellent interpersonal and communication skills that foster collaboration and teamwork.
• Proficiency in R, Python, or C/C++ programming languages, shell scripting and command line tools
• Proficiency in Linux environment, HPC and cloud computing
• Strong publication track record in high impact peer-reviewed journals
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.
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. 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 [email protected] for assistance.
For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster.
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Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion.
Please log onto your Internal Career Site to apply for this job.
Website: https://gilead.com/
Headquarter Location: Seoul, Seoul-t'ukpyolsi, South Korea
Employee Count: 51-100
Year Founded: 2011
IPO Status: Private
Industries: Health Care ⋅ Marketing ⋅ Medical ⋅ Pharmaceutical