Sqilline is a software company that expertise in Healthcare Big Data Technology, Machine Learning Algorithms, and AI.
We have developed an Analytics Healthcare Platform for Real-World Data.
Danny Platform is able to evaluate massive amounts of real-world data from multiple sources (EHRs, registries, labs, etc.) in the oncology, cardiology and other fields. The software provides comprehensive searches, in-depth analyses, predictions and treatment solutions to physicians, researchers and payers.
Sqilline’s data analytics capabilities enable hospitals, pharmaceutical companies and reimbursement agencies to gain insight into real-world evidence of patient care, particularly in this era of value-based care.
We are a leading SAP Partner in the areas of Precision Medicine, Life Science and Healthcare.
The company is looking to fill up the position of DATA ANALYST in our healthcare team. The ideal candidate will have responsibility for managing the master data sets in Danny Platform, reviewing and interpreting health data, developing reports, and troubleshooting data issues.
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 innovation-driven team, working with current healthcare technologies.
Data Analyst Qualifications:
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 real-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 problem-solving skills.
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
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