Data Scientist II UKBB, AGD data and other RWD

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profile Job Location:

North Chicago, IL - USA

profile Monthly Salary: Not Disclosed
Posted on: 9 hours ago
Vacancies: 1 Vacancy

Job Summary

Required Skill

1: Data curation and mining using Linux command line Required Skill

2: Advanced analytics Required Skill

3: Advanced programming skills with writing reusable scripts (R Python Spark or SQL) Required Skill

4: Learn existing automated EHR-phenotyping using large longitudinal UK Biobank and AGD data Required Skill

5: strong communication and teamwork What years of experience education and/or certification is required 2-3 (PhD) or 5 years (MSc)

What is a nice to have (but not required) regarding skills requirements experience education or certification

Biostatistics Genetics experience with latest AI methodologies What is the environment that this person will be working in (i.e. group setting vs individual role)

Individual role within a collaborative team Other notable details about the environment from the hiring manager about this role

- advance the state-of-art Phenomics Data Science initiatives using large-scale real-world data What positions/background experience do you feel are successful in this role.

- experienced data scientist/data engineers with interest in driving new mathematical solutions and innovation in line with business strategy and rapidly changing data streams.

Regards

Mohammed ilyas

PH - or text - or you can share the updated resume at com


Additional Information :

All your information will be kept confidential according to EEO guidelines.


Remote Work :

Yes


Employment Type :

Contract

Required Skill1: Data curation and mining using Linux command line Required Skill2: Advanced analytics Required Skill3: Advanced programming skills with writing reusable scripts (R Python Spark or SQL) Required Skill4: Learn existing automated EHR-phenotyping using large longitudinal UK Biobank and ...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

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