Research Officer (Intelligent Digital and MolecularPathology Lab, A •STAR BII

We are recruiting for an experienced full stack developer

position in the Intelligent Digital and Molecular Pathology (iDMP)

at the A

• STAR Bioinformatics Institute (BII) in Singapore.

Our iDMP team is dedicated to the development

of new solutions in pathology field. Currently, we are expanding

our team and seeking enthusiastic talent developer to join

us!

For a research overview of our unit, please

refer to

href="https : / / www.a-star.edu.sg / bii / research / ciid / cdpl">

https : / / www.a-star.edu.sg / bii / research / ciid / cdpl

General

requirements : Self

motivated developer / M.E. or M.Sc. graduate to pursue an Artificial

Intelligent (AI), Bif data and cloud based software development

career. Independent and passionate about clinical / biomedical

imaging projects.

Good team player. Able to

undertake independent software development and AI algorithm

projects under the direction of the PI together with other lab

members.

Hold a bachelor / master degree in a

relevant field.

Good general knowledge and

concept of science and engineering.

Excellent

scientific / technical writing skills and communication

capability.

Prior experience in working with

pathology imaging projects (Industrial or academic) is a value add,

such IHC imaging, H&E imaging and Multiplex immunofluorescence

imaging.

Specific

technical requirements :

Excellent experience, knowledge, and skills in two

following scientific programming languages, i.e., Matlab and

Python.

Excellent knowledge and skills in

front end and the backend of cloud application.

Proficiency with fundamental front end languages such as

HTML, CSS, JSON and JavaScript.

Familiarity

with JavaScript frameworks such as Angular JS, React, and Amber is

a plus, but not compulsory.

Proficiency with

server side languages such as Python, Java, and PHP.

Familiarity with database technology such as

MySQL.

Rigid and logical thinking of

scientific and software development problems.

General understanding of image processing, machine

learning, and artificial intelligence is a plus, but not

compulsory.

Basic knowledge of cell biology or

pathology is a value add.

Present research

achievements at internal / external seminars and conferences is a

value add.

The above

eligibility criteria are not exhaustive. A

additional selection criteria based on its prevailing recruitment

policies. These policies may be amended from time to time without

notice. We regret that only shortlisted candidates will be

notified.