Scientist I, Bioinformatics – Biologics Discovery

For Current Gilead Employees and Contractors:

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.
 

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
 

We 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.
• Development and optimize exploratory analysis tools for interpreting multi-dimension dataset generated during biologics discovery workflow.
• Apply and advance artificial intelligence and machine learning (AI/ML) approaches, particular 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.

Basic Qualifications:

• Doctorate OR
• Master’s and 4+ years of experience OR
• Bachelor’s and 6+ years of experience OR

Preferred Qualifications:

• PhD 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).
• 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.

Does this sound like you? If so, apply today!

The salary range for this position is: $146,540.00 - $189,640.00. 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 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.

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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 ApplicantAccommodations@gilead.com for assistance.
 

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For Current Gilead Employees and Contractors:

Please log onto your Internal Career Site to apply for this job.