{"id":3354577,"url":"https://alion.io/job/amgen-data-scientist-7","title":"Data Scientist","company":{"id":4775,"name":"Amgen","domain":"amgen.com","url":"https://alion.io/company/amgen","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":358,"ghost_share":0,"stale_share":0.575,"repost_share":0.006,"time_to_fill_p50_days":42,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Anthropic","optional":false},{"name":"Claude","optional":false},{"name":"GPT-4","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"FastAPI","optional":true},{"name":"GCP","optional":true},{"name":"MLFlow","optional":true},{"name":"NLP","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Rest API","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Spark","optional":true},{"name":"Streamlit","optional":true},{"name":"Tableau","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2025-05-09T00:00:00Z","employer_posted_date":"2025-05-09","last_verified_at":"2026-10-30T09:27:59Z","board_verified":true,"closed_at":null,"days_open":539,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":538},"description":"Career Category\nInformation SystemsJob Description\nAbout Amgen\nJoin Amgen’s Mission of Serving Patients\nAt Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.\nSince 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.\nOur award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.\nData Scientist\nWhat you will do\nThe Global Quality Analytics and Innovation team leads the digital transformation and innovation effort throughout Amgen’s Quality organization. We are at the forefront of developing and rolling out data-centric digital tools, employing automation, artificial intelligence (AI), and generative AI to drive end-to-end quality transformation. We are seeking a highly motivated and experienced Data Scientist with a strong background in Generative AI, Large Language Models (LLMs), and MLOps, along with an understanding for Quality in regulated environments (e.g., GxP). This role will play a key part in designing, developing, and deploying scalable AI/ML solutions to drive innovation, efficiency, and regulatory compliance across the organization.\nYou will collaborate with cross-functional teams, including software engineers, data engineers, business stakeholders, and quality professionals to deliver AI-driven capabilities that support strategic business objectives. The ideal candidate is an analytical thinker with excellent technical depth, communication skills, and the ability to thrive in a fast-paced, agile environment.\nKey Responsibilities\nDesign, build, and deploy generative AI and LLM-based applications using frameworks such as LangChain, LlamaIndex, and others.\nEngineer reusable and effective prompts for LLMs like OpenAI GPT-4, Anthropic Claude, etc.\nDevelop and maintain evaluation metrics and frameworks for prompt engineering.\nConduct data quality assessments, data cleansing, and ingestion of unstructured documents into vector databases.\nBuild retrieval algorithms for relevant data identification to support LLMs and AI applications.\nEnsure AI/ML development complies with GxP and other regulatory standards, fostering a strong Quality culture.\nPartner with global and local teams to support regulatory inspection readiness and future technological capabilities in AI.\nShare insights and findings with team members in an Agile (SAFe) environment.\nWhat we expect of you\nBasic Qualifications:\nMaster’s degree and 2 - 4 years of experience in Software Engineering, Data Science, or ML Engineering or\nBachelor’s degree and 3 to 5 years of experience in Software Engineering, Data Science, or ML Engineering or\nDiploma and 7 to 9 years of experience in Software Engineering, Data Science, or ML Engineering\nPreferred Qualifications:\nExperience in developing and deploying LLM applications.\nStrong foundation in ML algorithms, data science workflows, and NLP.\nExpertise in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).\nFamiliarity with MLOps tools (e.g., MLflow, CI/CD, version control).\nExperience with cloud platforms (AWS, Azure, GCP) and tools like Spark, Databricks.\nUnderstanding of RESTful APIs and frameworks like FastAPI.\nExperience with BI and visualization tools (e.g., Tableau, Streamlit, Dash).\nKnowledge of GxP compliance and experience working in regulated environments.\nStrong communication skills with the ability to explain complex topics to diverse audiences.\nHigh degree of initiative, self-motivation, and ability to work in global teams.\nWhat you can expect of us\nAs we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.\nApply now and make a lasting impact with the Amgen team.\ncareers.amgen.com\nAs an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.\nAmgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. 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