Data Scientist

Job Description

We are currently seeking to recruit a talented Data Scientist as an addition to the Application Sciences team to ensure the successful transformation and adoption of the developed predictive models for the biotechnology community. The successful candidate will be working closely with Application Scientist to unlock the deep value of mathematics and machine learning through data science, and deploy the analytical applications to the healthcare and agriculture researchers in university and research institutions.

Jobscope

Managing data science-related contract research

Working on biological datasets, software and data warehouse

Providing technical consultation on the project design and analysis strategy

Apply various data science technologies (statistical analysis, machine learning, image recognition and data visualisation) to solve research questions

Delivering data analytics, visualisation, data mining and interpretation

Developing data science-related products and applications

Assisting in integrating data analytics, algorithms and dashboard into existing software platforms

Preparing scientific report, publication and presentation

Conducting literature study and technological review

Maintaining internal documentation and SOP

Working closely with the software engineering team to add analytical capability to existing softwares

Skills and Requirements

A degree in Data Science, Applied Mathematics, Statistics, Computational Biology or other Related Science disciplines

Knowledge of biological research is an added advantage

Experience in high-level programmings such as R, Python, SQL or MATLAB

Experience in articulating research questions using mathematical techniques to arrive at an answer using available data

Have a deep understanding of large data, data structures and manipulation of data in an efficient manner

Familiar with data cleaning methods (clean, transform, merge and engineer) and processing frameworks

Experience with machine learning / statistical learning methodologies such as regression, feature selection, classification, clustering, unsupervised learning and time-series analysis

Experience in translating analysis results into scientific insights and business recommendation

Experience in designing analytics dashboards to communicate key analytical findings

Passionate in science and mathematics

Experience with JIRA, Trello and Github

Ability to quickly adapt to new problems and ideas

Ability to work independently with minimal supervision

Strong time management skills

Strong verbal and written communication skills

Job Type : Full-time

Pay : From RM3,000.00 per month

Benefits :

• Additional leave
• Flexible schedule
• Free parking
• Health insurance
• Opportunities for promotion
• Professional development

Ability to commute / relocate :

Education :

Experience :

Work Location : In person