Gilead Sciences, Inc.
Sr Research Scientist I, Bioinformatics Biologics Discovery
Gilead Sciences, Inc., San Mateo, California, United States, 94409
Sr Research Scientist I, Bioinformatics Biologics DiscoveryUnited States - California - Foster City
Gilead Sciences, Inc. is a research-based bio-pharmaceutical company that discovers, develops and commercializes innovative medicines in areas of unmet medical need. With each new discovery and investigational drug candidate, we seek to improve the care of patients living with life-threatening diseases around the world. Gilead's therapeutic areas of focus include HIV/AIDS, liver diseases, cancer and inflammation, and serious respiratory and cardiovascular conditions.
Making an impact on a global scaleInclusion is one of the company's five core values. That's because we know that we are stronger and more innovative at Gilead when we are informed by a diverse set of backgrounds, experiences and points of view. Gilead Sciences is a biopharmaceutical company that discovers, develops and commercializes innovative therapeutics in areas of unmet medical need. The company's mission is to advance the care of patients suffering from life-threatening diseases worldwide.
When you join Gilead, you join our mission to change the world by enabling people to live healthier and more fulfilling lives. Come join a mission-driven bio-pharmaceutical organization that values inclusion and diversity, has a strong portfolio of products, and is constantly innovating.
Job DescriptionWe are seeking an accomplished Senior Research Scientist 1 (SRS1) with a strong background in AI/ML and a deep understanding of large molecule workflows, particularly in antibody design and molecular property prediction. The successful candidate will lead efforts to develop, deploy, and optimize machine learning models that accelerate and refine the discovery and development of biologics.
Main Responsibilities:Participate in cutting-edge development of AI/ML models for drug discovery and scientific applications.Develop and optimize exploratory analysis tools for interpreting multi-dimension datasets generated during biologics discovery workflow.Apply and advance artificial intelligence and machine learning (AI/ML) approaches, particularly generative AI models, across stages of large molecule workflows, including molecular property predictions, AI-guided candidate selection, and engineering.Work closely with data engineers to manage and preprocess large datasets, ensuring data quality and pipeline scalability.Communicate findings and insights to stakeholders through reports, presentations, and visualizations.Engage actively in the evaluation and coordination of collaborations with academic institutions, startups, and outsourcing partners.Stay updated on the latest advancements in AI/ML and computational biology and apply new techniques to improve existing workflows.Mentor and provide guidance to junior data scientists and research associates.
QualificationsPhD in computational biology, computer science, data science, physical science, statistics, or a related field with a minimum of 5+ years of relevant work experience. Industry experience is preferred.Demonstrated track record and expertise in AI/ML method development and applications in a pharmaceutical or biotechnology setting.Excellent communication skills with extensive biomedical domain knowledge, enabling clear explanation of technical concepts to both technical and non-technical audiences, and collaborate effectively with diverse scientific teams.Proficiency in R, Python, or C/C++ programming languages, with experience in relevant libraries and tools (e.g., TensorFlow, PyTorch, Scikit-learn, ESM2/3).Deep expertise in one or more relevant fields (e.g., antibody biology, biophysics, biotherapeutic design, machine learning).
Preferred Experience and Skills:Experience collaborating with external scientific partners, such as academic institutions or industry research groups.Track record of scientific publications in peer-reviewed journals or major ML conferences.Experience with IT infrastructure such as database systems, cloud computing (such as Databricks, AWS), and high-performance computing in Linux environments.
The salary range for this position is: $165,580.00 - $214,280.00. 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.
For jobs in the United States: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.
#J-18808-Ljbffr
Gilead Sciences, Inc. is a research-based bio-pharmaceutical company that discovers, develops and commercializes innovative medicines in areas of unmet medical need. With each new discovery and investigational drug candidate, we seek to improve the care of patients living with life-threatening diseases around the world. Gilead's therapeutic areas of focus include HIV/AIDS, liver diseases, cancer and inflammation, and serious respiratory and cardiovascular conditions.
Making an impact on a global scaleInclusion is one of the company's five core values. That's because we know that we are stronger and more innovative at Gilead when we are informed by a diverse set of backgrounds, experiences and points of view. Gilead Sciences is a biopharmaceutical company that discovers, develops and commercializes innovative therapeutics in areas of unmet medical need. The company's mission is to advance the care of patients suffering from life-threatening diseases worldwide.
When you join Gilead, you join our mission to change the world by enabling people to live healthier and more fulfilling lives. Come join a mission-driven bio-pharmaceutical organization that values inclusion and diversity, has a strong portfolio of products, and is constantly innovating.
Job DescriptionWe are seeking an accomplished Senior Research Scientist 1 (SRS1) with a strong background in AI/ML and a deep understanding of large molecule workflows, particularly in antibody design and molecular property prediction. The successful candidate will lead efforts to develop, deploy, and optimize machine learning models that accelerate and refine the discovery and development of biologics.
Main Responsibilities:Participate in cutting-edge development of AI/ML models for drug discovery and scientific applications.Develop and optimize exploratory analysis tools for interpreting multi-dimension datasets generated during biologics discovery workflow.Apply and advance artificial intelligence and machine learning (AI/ML) approaches, particularly generative AI models, across stages of large molecule workflows, including molecular property predictions, AI-guided candidate selection, and engineering.Work closely with data engineers to manage and preprocess large datasets, ensuring data quality and pipeline scalability.Communicate findings and insights to stakeholders through reports, presentations, and visualizations.Engage actively in the evaluation and coordination of collaborations with academic institutions, startups, and outsourcing partners.Stay updated on the latest advancements in AI/ML and computational biology and apply new techniques to improve existing workflows.Mentor and provide guidance to junior data scientists and research associates.
QualificationsPhD in computational biology, computer science, data science, physical science, statistics, or a related field with a minimum of 5+ years of relevant work experience. Industry experience is preferred.Demonstrated track record and expertise in AI/ML method development and applications in a pharmaceutical or biotechnology setting.Excellent communication skills with extensive biomedical domain knowledge, enabling clear explanation of technical concepts to both technical and non-technical audiences, and collaborate effectively with diverse scientific teams.Proficiency in R, Python, or C/C++ programming languages, with experience in relevant libraries and tools (e.g., TensorFlow, PyTorch, Scikit-learn, ESM2/3).Deep expertise in one or more relevant fields (e.g., antibody biology, biophysics, biotherapeutic design, machine learning).
Preferred Experience and Skills:Experience collaborating with external scientific partners, such as academic institutions or industry research groups.Track record of scientific publications in peer-reviewed journals or major ML conferences.Experience with IT infrastructure such as database systems, cloud computing (such as Databricks, AWS), and high-performance computing in Linux environments.
The salary range for this position is: $165,580.00 - $214,280.00. 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.
For jobs in the United States: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.
#J-18808-Ljbffr