中文

Careers

Assistant Data Scientist

Responsibilities

◆ Real world data/big data analysis project data extraction, data management and tracking

◆ Collaborate with experts and real-world data scientist to prepare the analysis plan; Perform the relevant literature review;

◆ Provide support on data extraction, data cleaning and data analysis


Qualifications

◆ Experience of real-world data/big data analysis methods, such as the study design and analysis methods for observational studies (cohort, case-control etc.)

◆ Bachelor or above degree in epidemiology, public health, biostatistics, or other related fields, master or PhD candidates preferred

◆ Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, R, Python)

◆ Proficient in the use of MS-Office software, basic English reading and writing skills

◆ The internship period is more than 3 months, at least 3 days a week, can be employed recently and guarantee that still studying during this period

SAS Programmer

Responsibilities

◆ Real world data/big data analysis project data extraction, data processing and tracking

◆ Responsible for programming and analyzing data

◆ Responsible for writing and preparing SAS macro programs

◆ Responsible for building the team of SAS programmer; Lead and mentor the new staff and the whole team


Qualifications

◆ Bachelor or above degree in computer science, mathematics, epidemiology, public health, biostatistics, or other related fields

◆ Minimum 2 years of programming experience and 1 year of clinical research or related experience and data management

◆ Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, R, Python)

◆ Proficient in the use of MS-Office software, basic English reading and writing skills

◆ Strong sense of responsibility and teamwork

◆ Study experience in English-speaking country is preferred

Data Scientist

Responsibilities

◆ Real world data/big data analysis project data extraction, data management and tracking

◆ Collaborate with experts and real-world data scientist to prepare the analysis plan; Perform the relevant literature review

◆ Provide support on data extraction, data cleaning and data analysis


Qualifications

◆ Experience of real-world data/big data analysis methods, such as the study design and analysis methods for observational studies (cohort, case-control etc.)

◆ Bachelor or above degree in epidemiology, public health, biostatistics, or other related fields, master or PhD candidates preferred

◆ 1 year of clinical research or related experience and database management

◆ Ability to conduct statistical analysis independently, including basic descriptive analysis and establishment of statistical models

◆ Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, R, Python)

◆ Proficient in the use of MS-Office software, basic English reading and writing skills

◆ Excellent communication skills, have team spirit and good interpersonal

◆ Study experience in English-speaking country and biostatistics professional is preferred