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Strong employer brand, mid-level experience band, and metro location increase applicant competition.
Role requires biopharma/clinical data experience and regulatory knowledge, limiting cross-industry transferability.
Explicit 2–5 years requirement plus biopharma domain and mandatory MLOps/Databricks/AWS skills raise filter strictness.
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Design, deploy, operate, and maintain data science and machine learning pipelines and products ensuring reliability, scalability, and maintainability.
Collaborate with data science and IT teams to develop predictive models and provide actionable insights to solve complex business problems, especially in biopharma domain.
Communicate analytical findings effectively to technical and non-technical stakeholders and mentor junior data scientists within the team.
2 to 5 years of experience in a data science role, preferably within biopharma or pharmaceutical industry.
Bachelor’s, Master’s, or Ph.D. degree in Data Science, Statistics, Computer Science, or related field.
Proficiency in Python or R programming, and experience with Databricks and AWS cloud platforms.
Onsite presence required at Hyderabad location (site-essential role).
Experienced in handling large-scale structured and unstructured healthcare data including clinical trials and genetic data.
Strong operational focus on developing, deploying, and maintaining machine learning and data engineering solutions with emphasis on MLOps and best practices.
Familiarity with biopharma industry regulatory environment and ability to translate complex data into clear insights for diverse stakeholders.