Data Scientist II

North Chicago, IL - USA

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

Title:Data Scientist II

Location:North Chicago IL

Description:

We are seeking a data scientist to apply advanced analytics and AI methods on EHR phenotyping data from clinicogenomic data sources such as UK Biobank (UKBB) and Alliance for Genomic Discovery (AGD) datasets driving discovery through large-scale biobank analyses.

The candidate will extract patient cohorts from the EHR data in order for Genome-wide Association Studies (GWAS) and related applications to extract actionable insights from clients rich biobank data resources.

Responsibilities:

UKBB AGD data and other RWD

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

Required Skills:

EHR phenotypingData curation and mining

Title:Data Scientist II Location:North Chicago IL Description: We are seeking a data scientist to apply advanced analytics and AI methods on EHR phenotyping data from clinicogenomic data sources such as UK Biobank (UKBB) and Alliance for Genomic Discovery (AGD) datasets driving discovery through la...