Computational Pathology Scientist
Computational Pathology Scientist
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$ 146540 - 189640
1 Vacancy
Job Description
At Gilead were creating a healthier world for all people. For more than 35 years weve 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 worlds biggest health challenges and our mission requires collaboration determination and a relentless drive to make a difference.
Every member of Gileads 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 were 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
Gileads mission is to discover develop and deliver therapies that will improve the lives of patients with life-threatening illnesses
worldwide.
The Computational Scientist Pathobiology will be responsible for the following:
Job Description
The Research Pathobiology group at Gilead Sciences is seeking a talented and highly motivated imaging data scientist to advance discovery research and development projects at our Foster City CA headquarters.
As part of the computational pathology team within Research Pathobiology you will support imaging biomarker development efforts for clinical drug applications by:
- Analyzing pathology imaging data (e.g. H&E IHC CISH mIF CODEX Spatial Transcriptomics) generated across Gileads drug development pipeline.
- Developing image analysis tools using commercial internal and open-source packages.
- Building automated image analysis pipelines for deployment on-premises and in cloud-based high-performance computing (HPC) environments.
The role requires extensive cross-functional collaboration with pathologists biologists biomarker scientists data and imaging scientists and IT personnel.
The primary focus is supporting image analysis initiatives with an emphasis on developing and applying novel deep learning and machine learning approaches to advance our understanding of pathobiology in oncology virology fibrosis and inflammation.
The candidate will also partner with clinical imaging and data management teams to deploy maintain and integrate computational solutions on HPC in the cloud.
Essential Duties and Job Functions:
- Support the development of advanced analytics computer vision and computational tools to derive novel imaging-based biomarker endpoints.
- Collaborate with internal and external scientific partners to design execute and validate analytic strategies for tissue-based endpoints and imaging biomarkers supporting Gileads drug discovery and development pipelines.
- Evaluate and implement new computational approaches in digital pathology to extract histopathological endpoints and perform spatial analyses.
- Curate and prepare large imaging datasets for deep learning (DL) model training and development including targeted models (tissue compartmentalization cell phenotyping etc.) and pathology foundation models.
- Contribute to imaging data management strategies and solutions within Gilead.
- Identify best practices and innovation opportunities relevant to image analysis projects.
- Effectively communicate findings and progress through reports presentations and publications for both expert and non-expert stakeholders.
Education/Basic Qualifications:
- PhD in a relevant quantitative field (e.g. Computer Science Biomedical Engineering Physics Mathematics Statistics); postdoctoral experience is a plus OR
- MS degree in Computer Science/Biomedical Engineering with 4 years of industry experience OR
- BS degree in Computer Science/Biomedical Engineering with 6 years of industry experience
Knowledge Experience and Skills:
- Proficiency in deep learning and data science libraries such as PyTorch Pandas scikit-learn and NumPy; experience with image processing packages such as OpenSlide OpenCV MONAI or Elastix is a plus.
- Demonstrated expertise in Python for scientific computing and imaging data analysis; experience with additional programming languages is a plus.
- Extensive experience with DL models and architectures for image segmentation and classification such as ResNet U-Net and transformer-based models (e.g. ViT Swin Transformer); familiarity with other ML algorithms (e.g. Logistic Regression Random Forest SVM)..
- Experience managing end-to-end ML/DL/AI projects including data engineering resource management model training selection evaluation and stakeholder communication.
- Up-to-date knowledge of advances in AI research and its application to medical imaging and digital pathology.
- Solid understanding of the mathematical and statistical foundations of machine learning and medical image analysis (e.g. optimization image registration segmentation classification).
- Excellent written and verbal communication skills.
- Ability to multitask and prioritize while maintaining high standards of efficiency and quality.
- Self-motivated with a strong commitment to accuracy and excellence.
Preferred qualifications:
- Fluency in scientific computing environments (e.g. Unix/Linux shell) particularly in HPC and cloud-based clusters is a plus.
- Publication record in deep learning machine learning or statistics particularly in digital pathology is a plus.
- Strong understanding of medical image data formats and challenges associated with large pathology images (e.g. WSI CODEX ST); experience analyzing whole-slide images is a plus.
- Experience with manipulating analyzing and visualizing large internal public and commercial imaging datasets is a plus.
- Familiarity with cell biology and microscopy is a plus.
People Leader Accountabilities:
Create Inclusion - knowing the business value of diverse teams modeling inclusion and embedding the value of diversity in the
way they manage their teams.
Develop Talent - understand the skills experience aspirations and potential of their employees and coach them on current
performance and future potential. They ensure employees are receiving the feedback and insight needed to grow develop and
realize their purpose.
Empower Teams - connect the team to the organization by aligning goals purpose and organizational objectives and holding
them to account. They provide the support needed to remove barriers and connect their team to the broader ecosystem.
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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 disabilitygenetic 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 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 for assistance.
For more information about equal employment opportunity protections please view theKnow Your Rights poster.
NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT
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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.
For Current Gilead Employees and Contractors:
Please apply via the Internal Career Opportunities portal in Workday.
Employment Type
Full-Time
