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28/04 Karan Dhond
Talent Advisor at Randstad

Views:120 Applications:21 Rec. Actions:Recruiter Actions:11

Principal Data Scientist - Pharma/Healthcare (5-10 yrs) Premium

Hyderabad Job Code: 919435

Mission statements : 

- Principal Data Scientist in Real World Evidence and Clinical Outcomes will provide a high level of expertise in employing cutting-edge analytical & computational approaches to drive analysis of real-world data sources (US and other markets). 


- He/She will provide scientific and technical leadership in data analysis closely with other disciplines across Business Units, Digital, R&D, Biostatistics, Information Technology Systems and other Data Science partners to deliver analysis of real-world data sources. Sample analyses are likely to include:

- Elucidation of disease trajectories, patient subtypes, define underdiagnosed conditions, and unmet health needs

- Create and analyze patient cohorts leveraging big-data (e.g. EHRs, claims) and rich small data sets (e.g. clinical trials, imaging)

- Respond to team queries in a rapid response manner; contribute to longer and more intensive analyses and projects

Knowledge, Skills & Competencies / Language:

Required Skills & Experiences:

- High level proficiency in at least two or more technical or analytical languages (R, Python, etc..).

- Demonstrated experience with data analysis techniques

- Strong demonstrated ability to interact with a variety of large-scale data structures e.g. HDFS, SQL, noSQL

- Experience working across multiple environments (e.g. AWS, GCP, Linux) for optimizing compute and big data handling requirements

- Experience with any of the following: biomedical data types/population health data/real world data/novel data streams relevant to the pharmaceutical industry

- Experience with big data analytics platforms or high-level ML libraries such as H2O, SageMaker, Databricks, Keras, pyTorch, TensorFlow, Theano, DSSTNE or similar

- Strong oral and written communication skills

- A demonstrated ability to work and collaborate in a team environment

Desirable Skills & Experiences - Exposure to NLP technologies and analyses

Qualifications : 

- Masters/ Ph.D in field such as Medical Informatics, Statistics, Applied Mathematics, Computational Biology, Computer Science, Engineering or related field with 5+ years of related experience

Women-friendly workplace:

Maternity and Paternity Benefits

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