{"id":1198043,"url":"https://alion.io/job/merck-co-2027-future-talent-program-data-science-intern","title":"2027 Future Talent Program - Data Science - Intern","company":{"id":3768,"name":"Merck & Co.","domain":"msd.com","url":"https://alion.io/company/msd","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":95,"ghost_share":0.011,"stale_share":0.126,"repost_share":0.042,"time_to_fill_p50_days":9,"computed_at":"2026-09-25T05:45:01Z"}},"role":"HR","role_family":"HR","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["West, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":39908,"max":111111,"currency":"USD","period":"year","gross":null,"usd_annual":111111},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"MATLAB","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-24T19:25:48Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-25T15:36:39Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Description\nThe Future Talent Program features internships that last up to 12 weeks and will include one or more projects. These opportunities in our Research and Development Division can provide you with great development and a chance to see if we are the right company for your long-term goals.\nThe Quantitative Biosciences department is looking for a highly talented and motivated data science student to join our ranks. Collaborating closely with experienced pharmaceutical industry scientists, the chosen candidate will apply their skills in data analysis to contribute to the discovery and advancement of novel medicines across multiple therapeutic areas.\nThe successful candidate will:\nPerform statistical analyses of data from and/or statistical research related to basic drug research. \nHelp develop novel data pipelines that move, integrate and analyze diverse sources of biological data that aid in the profiling of therapeutic candidates or improving the chances of translation. \nDevelop and apply computational methods and machine learning models to foundational data sets to improve drug discovery processes.\nHelp wrangle and analyze unstructured and structured data that will drive new translational strategies for the company. \nEngineering data pipelines between reporting environments and core databases: design and implement automated data connectors to establish seamless, bidirectional or automated data transfer between enterprise databases and reporting platforms \nCommunicate data progress during internal meetings; deliver a verbal presentation at the completion of training; participate in scientific exchange with our Company scientists\nWe value open communication, creative-thinking, strong teamwork, and rigorous scientific exploration. \nIf you are a highly motivated team player with enthusiasm for learning new techniques who thrives on challenge and has a strong desire to impact drug discovery, we invite you to apply.\nRequired Education & Experience:\nCandidates must be currently enrolled in a full-time degree program in Data Science / Computer Science or a related Bioscience discipline with substantial computational coursework; and have completed at least 2 years of studies toward BS/BA or at least 1 year towards master’s/PhD by the start of the internship\nAvailable to work full-time for 10-12 weeks beginning in May or June of 2027\nSuperior verbal and written communication skills and a demonstrated record of strong academic achievement\nPreferred Experience & Skills:\nDatabase & SQL Proficiency \nExposure to cloud data warehouses (Amazon Redshift, AWS S3) and database clients (DBeaver, SQL Workbench). \nExperience working with large data sets including the use of analytical and visualization software programs (Visual Analytics / BI Tools).\nExperience in at least one coding language (Python/R/MATLAB).\nSelf-motivated and detail-orientated with excellent record keeping and organizational skills\nPlease note that this position may be closed before the posted end date or may remain open longer, at the discretion of the company.\nSalary range:\nThe salary range for this role is $39,908 - $111,111\nFTP2027\nRL2027\nRequired Skills:\nPreferred Skills:\nCurrent Employees apply HERE\nCurrent Contingent Workers apply HERE\nUS and Puerto Rico Residents Only:\nOur company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.\nAs an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. Asa federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:\nEEOC Know Your Rights\nEEOC GINA Supplement\nWe are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.\nLearn more about your rights, including under California, Colorado and other US State Acts\nSan Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance\nLos Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance\nSearch Firm Representatives Please Read Carefully\nMerck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.\nEmployee Status:\nIntern/Co-op (Fixed Term)Relocation:\nNo relocationVISA Sponsorship:\nNoTravel Requirements:\nNo Travel RequiredFlexible Work Arrangements:\nNot ApplicableShift:\n1st - DayValid Driving License:\nNoHazardous Material(s):\nN/AJob Posting End Date:\n10/23/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.","description_format":"text","description_chars":6287,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"Puerto Rico","iso":"PR","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Prescription Drugs","Veterinary Medicine","Vaccines","Oncology Therapeutics"],"lifecycle":[{"event":"open","at":"2026-09-24T19:25:48Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":9,"reasons":["conf:2","velocity","win:early","comp:junior,brand"],"computed_at":"2026-09-25T05:45:01Z"},"pay":{"stated_usd_annual":111111,"is_top_pay":true},"html_url":"https://alion.io/job/merck-co-2027-future-talent-program-data-science-intern","json_url":"https://alion.io/job/merck-co-2027-future-talent-program-data-science-intern.json","meta":{"generated_at":"2026-09-26T00:38:00Z","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":"crawler","counted_by":"address","units_charged":1,"used_today":601,"day_limit":5000,"remaining_today":4399,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}