{"id":313888,"url":"https://alion.io/job/gilead-sciences-computational-pathology-scientist","title":"Computational Pathology Scientist","company":{"id":8130,"name":"Gilead Sciences","domain":"gilead.com","url":"https://alion.io/company/gilead","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":14,"ghost_share":0,"stale_share":0.357,"repost_share":0.071,"time_to_fill_p50_days":41,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Foster City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":146540,"max":189640,"currency":"USD","period":"year","gross":null,"usd_annual":189640},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Immunohistochemistry","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"MATLAB","optional":true},{"name":"NumPy","optional":true},{"name":"OpenCV","optional":true},{"name":"Pandas","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true}],"status":"live","first_seen_at":"2026-09-03T00:00:00Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-23T06:57:24Z","board_verified":false,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"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.\nEvery 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.\nWe 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.\nJob Description\nGilead is seeking an Imaging Data Scientist to apply AI, machine learning, and image analysis to digital pathology data supporting drug discovery and development. The role requires strong Python, computer vision, and deep learning skills, along with experience managing computational projects from planning through delivery.\nGilead Sciences is seeking a highly motivated imaging data scientist to join the computational pathology team within the Research Pathobiology group in Foster City, CA. The successful candidate will primarily support project-facing work across Gilead’s discovery and development pipeline by applying image analysis, deep learning, and machine learning approaches to advance understanding of pathobiology in oncology, virology, fibrosis, and inflammation. This role partners closely with scientific, clinical imaging, data management, and IT teams to deliver fit-for-purpose computational pathology analyses and scalable solutions that address defined program needs.\nThis role is primarily responsible for applying established and fit-for-purpose AI-based image analysis workflows to project-facing questions in digital pathology, including extraction of histopathological endpoints, spatial analysis of tissue-based imaging data, and high-throughput workflow customization. The position supports imaging biomarker work across discovery and clinical drug development using pathology imaging data such as H&E, IHC, CISH, mIF, CODEX, and spatial transcriptomics. Targeted method or workflow development may be undertaken when needed to address a defined pipeline need, improve scalability, or enable reliable delivery; however, the role’s primary emphasis is timely execution and support of project priorities. The role uses commercial, internal, and open-source tools and requires cross-functional collaboration with scientific, technical, and data stakeholders. Success depends on strong end-to-end ownership, early escalation of risks or blockers, and clear translation of scientific questions into actionable analytic plans.\nEssential Duties and Job Functions\nApply, evaluate, and validate computational pathology approaches, advanced analytics, and computer vision tools to support project-specific histopathological endpoints, imaging biomarkers, and spatial analyses across Gilead’s discovery and development pipelines.\n\nCollaborate with cross-functional scientific colleagues to design and execute analytic strategies for tissue-based endpoints and imaging biomarkers.\n\nCurate and prepare large imaging datasets for project analyses and, when justified by a defined pipeline need, for training or adapting targeted deep learning and pathology foundation models.\n\nContribute to imaging data management and targeted workflow improvements that increase the reliability, efficiency, or scalability of project-facing computational pathology analyses.\n\nCommunicate findings, progress, and recommendations clearly through reports, presentations, and publications for expert and non-expert stakeholders, while proactively aligning on priorities, timelines, and potential project risks.\n\nLead assigned projects from planning through execution, quality control, documentation, and delivery of well-organized outputs that support downstream use.\n\nBasic Qualifications\nBachelor's Degree and Six Years' Experience\nOR\nMasters' Degree and Four Years' Experience\nPreferred Qualifications\nAdvanced degree in a quantitative discipline (Computer Science, Biomedical Engineering, Physics, Mathematics, Statistics, or a related field), with one of the following qualification pathways:\n\nPublication record in deep learning, machine learning, or statistics, particularly in digital pathology.\n\nStrong understanding of medical image data formats and challenges associated with large pathology images (WSI, CODEX, ST).\n\nExperience using Visiopharm or similar commercial image-analysis platforms for pathology image analysis.\n\nExperience with brightfield IHC and multiplex IF image analysis.\n\nStrong programming skills in Python and/or MATLAB applied to image processing and computer vision; experience with additional languages is a plus.\n\nProficiency with deep learning, data science, and image processing libraries such as PyTorch, Pandas, scikit-learn, NumPy, OpenSlide, OpenCV, MONAI, or Elastix.\n\nExperience applying deep learning models to imaging data, including CNNs, segmentation and classification architectures, and transformer-based models; experience developing or adapting models for defined project needs is a plus.\n\nFamiliarity with classical machine learning algorithms such as Logistic Regression, Random Forest, and SVM.\n\nSolid understanding of mathematical and statistical foundations of machine learning and medical image analysis, including optimization, registration, segmentation, classification, and predictive modeling.\n\nExperience analyzing whole-slide images and large pathology imaging datasets from internal, public, or commercial sources.\n\nFamiliarity with cell biology and microscopy is a plus.\n\nExperience leading end-to-end ML/DL/AI projects, including data engineering, model training and evaluation, compute and data resource planning, stakeholder communication, prioritization, and delivery of high-quality outcomes in fast-moving environments.\n\nUp-to-date knowledge of advances in AI research and applications to medical imaging and digital pathology.\n\nExcellent written and verbal scientific communication skills, with the ability to provide clear updates, summarize technical findings, and support effective decision-making across stakeholders.\n\nTrack record of delivering high-quality, well-documented work with attention to detail and appropriate quality control.\n\nAbility to work independently while maintaining scientific rigor and effective collaboration across teams.\n\nPeople Leader Accountabilities:\nCreate Inclusion - knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams.\n\nDevelop 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.\n\nEmpower 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\n\nThe 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:\nhttps://www.gilead.com/careers/compensation-benefits-and-wellbeing\n* Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans.\nFor jobs in the United States:\nGilead 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, geneticinformation 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  for assistance.\nFor more information about equal employment opportunity protections, please view the 'Know Your Rights' poster.\nNOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT\nYOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT\nGilead 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.\nOur 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.\nGilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion.\nFor Current Gilead Employees and Contractors:\nPlease apply via the Internal Career Opportunities portal in Workday.","description_format":"text","description_chars":10992,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Oncology Therapeutics","Infectious Disease Therapeutics"],"lifecycle":[{"event":"open","at":"2026-09-05T15:55:19Z"}],"visa":[],"liveness":{"score":33,"band":"fade","label":"Fading","p_open":1,"p_active":0.743,"p_room":0.44,"age_days":52,"expected_fill_days":41,"reasons":["conf:46","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":{"stated_usd_annual":189640,"is_top_pay":true},"html_url":"https://alion.io/job/gilead-sciences-computational-pathology-scientist","json_url":"https://alion.io/job/gilead-sciences-computational-pathology-scientist.json","meta":{"generated_at":"2026-10-26T05:09:43Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6879,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":8130},"rest":"https://alion.io/mcp/rest/get_company?id=8130"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgilead-sciences-computational-pathology-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgilead-sciences-computational-pathology-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgilead-sciences-computational-pathology-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/gilead-sciences-computational-pathology-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgilead-sciences-computational-pathology-scientist"}]}