Data Analyst
Data Analyst
Client Description:
Our client is a software company that expertise in Healthcare Big Data Technology, Machine Learning Algorithms, and AI.
They have developed an Analytics Healthcare Platform for Real-World Data.
The platform is able to evaluate massive amounts of
- world data from multiple sources (EHRs, registries, labs, etc. ) in the oncology, cardiology and other fields.
The data analytics capabilities enable hospitals, pharmaceutical companies and reimbursement agencies to gain insight into
- world evidence of patient care, particularly in this era of
- based care.
Responsibilities:
• Perform exploratory data analyses and identify patterns/trends to gain a better
understanding of clinical data
• Document and present findings on data analyses and results
• Build data/analytics tools with the software development team for production
• Provide quality assurance of imported data
• Help develop reports and analyses
• Manage and design the reporting environment, including data sources,
security, and metadata
• Support the data warehouse in identifying and revising reporting requirements
• Support initiatives for data integrity and normalization
• Generate reports from single or multiple systems
• Create visualizations of data
• Provide technical expertise in data storage structures, data mining, and data
cleansing
• Analyze existing tools and databases and provide software solution
recommendations
Candidate Profile:
As a Data Analyst, you will work as part of the data scientist team and will also
communicate with administrators, data architects, other IT personnel, sales, and
management. You will be part of a small, agile and
- driven team, working
with current healthcare technologies.
Tech Skills:
Expert knowledge of programming languages Python and/or R
• Strong background in multivariate statistics, multivariable calculus, linear
algebra
• Experience with processing large amounts of structured and unstructured data
from heterogeneous sources (data collection, normalization, missing data
imputation, etc. ) and exploratory analyses
• Ability to create analytics reports which provide insights into key healthcare
points
• Preparing final analytics reports which enable stakeholders to take important
decisions based on
- world evidence
• Understanding of website scripts such as XML, Javascript, JSON
• Highly proficient, and fluent in spoken and written English
Education/Experience:
• Degree in statistics, mathematics, computer science, engineering, and/or other
quantitative fields. MS or advanced degree preferred.
• 3+ years of practical experience as a data analyst and/or a related field
• Experience in working with clinical/healthcare data and clinical analyses, or
prior experience in the pharmaceutical/healthcare industry is a plus
• High-level experience in methodologies and processing for managing largescale databases
• Demonstrated experience in handling large data sets and relational databases
• Excellent interpersonal and communication skills and have worked in multidisciplinary teams
• Strong
- solving skill
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