{"id":1297385,"url":"https://alion.io/job/gilead-sciences-intern-research-data-sciences-ai","title":"Intern - Research - Data Sciences - AI","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":"B","score":83,"open_postings":22,"ghost_share":0,"stale_share":0.682,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Foster City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":55000,"max_usd":95000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":145},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":true},{"name":"Microsoft Office","optional":true},{"name":"Multimodal AI","optional":true},{"name":"Outlook","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-25T00:00:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-28T12:52:14Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"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\nIntern - Research - Data Sciences - AI\nAs a Gilead intern you will contribute to high-impact meaningful projects that will not only further advance our company’s mission but will allow you to gain real world experience at one of the most innovative organizations in the world. You will also have opportunities to participate in special events including professional development and leadership presentations, social/network building activities and local community volunteer programs.\nKey Responsibilities will include, but are not limited to the following:\nContribute to the development of a proof-of-concept AI-enabled workflow that integrates biological evidence from public and internal data sources to support oncology target discovery, assessment, and translational research.\nCurate, analyze and integrate diverse biological datasets, including gene and protein expression atlases, single-cell and spatial biology datasets, human genetics resources, functional genomics, literature, and biological knowledge databases.\nExplore the application of large language models and AI-assisted knowledge retrieval approaches to synthesize biological evidence and generate structured target review summaries.\nAssess candidate oncology targets for disease relevance, cell-type specificity, biological rationale, translational evidence, and potential safety considerations. \nCollaborate with scientists across Research Data Sciences, Oncology, and related research functions to refine scientific questions, evaluate workflow outputs, and identify opportunities for improvement. \nShowcase your work with a final presentation (PPT) near the conclusion of your internship.\nRequired Qualifications:\nMust be at least 18 years of age at the start of the internship.\nMust be enrolled full-time in a Bachelor’s, Master’s, MBA, JD or PhD program at a nationally accredited U.S. college or university, with continued full-time enrollment required in the Fall semester following the internship.\nMust be currently enrolled as an undergraduate (freshman, sophomore, junior, or senior) or as a graduate/doctoral student.\nMust have a minimum overall cumulative GPA of 2.8 at the time of application and hire (official transcripts will be requested).\nMust be independently authorized to work in the United States now and in the future (current or future work authorization must not require school or employer sponsorship) official transcripts are required.\nMust be able to commit to a full-time internship lasting 10-12 consecutive weeks between May and August.\nMust be willing and able to work at the designated site for the duration of the internship (relocation may be required). All internships are hybrid; fully remote roles are not offered.\nPreferred Qualifications:\nPreferred degree level: Ph.D.\nPreferred field of study: Working toward a Bachelor's, Master's, or Ph.D. degree in Computer Science, Physics, Mathematics, Statistics, Data Science, or a related AI-focused field\nHands-on experience in Python, machine learning, statistical modeling, or generative AI tools\n Ability to collaborate with scientists and translate research questions into data-driven or AI-enabled approaches\nProficient in R or Python for scientific computing, data analysis, and visualization\nFamiliarity with genomics, transcriptomics, single-cell biology, spatial biology, AI and ML aided multi-modal data integration\nStrong analytical and problem-solving skills, with the ability to work with complex biological datasets\nExperience with AI/ML methods and developing AI-enabled analytical tools or computational workflows is a plus\nProficiency with Microsoft Office (MS Office) tools, such as Word, Excel, PowerPoint, and Outlook\nStrong problem-solving skills, with the ability to identify issues and proactively seek solutions\nAbility to work effectively both independently and as part of a team in a collaborative environment\nDemonstrated commitment to inclusion and diversity, including the ability to work respectfully with individuals from diverse backgrounds\nHighly organized, detail-oriented, and able to manage competing priorities in a fast-paced environment with short timelines \nGilead Core Values:\nIntegrity (Doing What’s Right)\nInclusion (Encouraging Diversity)\nTeamwork (Working Together)\nExcellence (Being Your Best)\nAccountability (Taking Personal Responsibility)\nThe expected hourly range for this position is $20.00 - $55.00.\nGilead considers a variety of factors when determining base compensation, including education level and geographic location. These considerations mean actual compensation will vary.\nBenefits include paid company holidays, sick time, and housing stipends for eligible employees.\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":8387,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence","Prescription Drugs","Oncology Therapeutics","Infectious Disease Therapeutics"],"lifecycle":[{"event":"open","at":"2026-09-26T10:07:52Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":30,"reasons":["conf:8","stale_co","velocity","win:early","comp:junior,brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/gilead-sciences-intern-research-data-sciences-ai","json_url":"https://alion.io/job/gilead-sciences-intern-research-data-sciences-ai.json","meta":{"generated_at":"2026-09-28T16:27:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"assistant","counted_by":"address","units_charged":1,"used_today":1913,"day_limit":2000,"remaining_today":87,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}