
10,000+ employees
Founded 1956
🧬 Biotechnology
💊 Pharmaceuticals
🔬 Science
Biotechnology • Pharmaceuticals • Science
Thermo Fisher Scientific is the world leader in serving science, with annual revenue of more than $40 billion. Their mission is to enable customers to make the world healthier, cleaner, and safer by supporting life sciences research, solving complex analytical challenges, increasing laboratory productivity, and improving patient health through diagnostics and the development of life-changing therapies. With a global team, they offer innovative technologies and pharmaceutical services through brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.
🔥 14 hours ago
🍂 Massachusetts – Remote
💵 $178.1k - $186k / year
⏰ Full Time
🟠 Senior
🖥 Software Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1956
🧬 Biotechnology
💊 Pharmaceuticals
🔬 Science
Biotechnology • Pharmaceuticals • Science
Thermo Fisher Scientific is the world leader in serving science, with annual revenue of more than $40 billion. Their mission is to enable customers to make the world healthier, cleaner, and safer by supporting life sciences research, solving complex analytical challenges, increasing laboratory productivity, and improving patient health through diagnostics and the development of life-changing therapies. With a global team, they offer innovative technologies and pharmaceutical services through brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.
• Design and implement scalable, distributed data pipelines using AWS services • Architect and lead the implementation of a comprehensive security framework for the Databricks platform • Define and enforce enterprise-grade security standards across Databricks workspaces • Apply deep domain expertise in molecule-level data • Develop and fine-tune large language model (LLM) applications • Integrate generative AI systems with enterprise data ecosystems • Establish robust LLM evaluation and monitoring frameworks • Collaborate cross-functionally with engineering, data science, and product stakeholders • Implement CI/CD pipelines using GitHub and GitHub Actions • Develop intelligent knowledge workflows and dashboards
• Bachelor’s degree in Computer Science, Computer Engineering, or related field of study • 7 years of Software Engineering, Data Engineering, or related experience • Proficiency in programming languages: Python, R, Scala, and Java • Design and implement scalable, distributed data pipelines using AWS services such as S3, Redshift, Glue, Lambda, EMR, Athena, and Kinesis, with transformation logic developed in PySpark, Python, and SQL • Proficient in Linux/Unix environments with experience in shell scripting (Bash) for automation and system operations • Experience in managing Databricks Unity Catalog using Terraform, including configuration of external locations, catalogs, schemas, and access controls • Proficient in automating data governance and access management through Terraform modules to provision Unity Catalog resources and integrate securely with cloud storage • Experience in managing Databricks and implementing security frameworks • Experience with machine learning models and NLP techniques • Must be fluent in English.
• A choice of national medical and dental plans, and a national vision plan, including health incentive programs • Employee assistance and family support programs, including commuter benefits and tuition reimbursement • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
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