Position Details
Reference Number 40524
Position Title Clinical Bioinformatician
Employment Type Fixed Term Full Time
Entity Monash Health
Department Pathology - Rare Diseases
Location Monash Medical Centre Clayton
Position Summary

About Us

The Monash Health Pathology Service operates under the brand name of Monash Pathology and is an integral part of Monash Health. It is one of the largest providers of Pathology services in the state and currently operates 5 laboratories. The largest of these is located at the Monash Medical Centre, Clayton, with additional facilities being located at the Dandenong, Moorabbin, Casey and Wonthaggi Hospitals.  There are currently 12 collection centres based within the hospital sites and community settings. Services are provided to the Public and Private sectors, and other laboratory services.

About the Role

An exciting and rewarding opportunity for an experienced clinical bioinformatician is available within Monash Pathology to join our expanding clinical genomics service.

You will lead clinical implementation of Monash Pathology’s bioinformatics solutions, focusing initially on the NATA-accreditation of clinical exome sequencing for both germline and somatic testing. You will work with established partners including bioinformaticians from the Melbourne Genomics Health Alliance, Melbourne Bioinformatics, and Monash University. The position will provide access to extensive computing resources and state-of-the art software solutions, working closely with experienced laboratory scientists both in Monash Health and the Monash Health Translational Precinct, Monash Health information technology experts, external software vendors, and clinicians to guide the long term strategy for, and development of, bioinformatics at Monash Health.

This position will allow you to establish yourself as a senior leader in the field of clinical bioinformatics, building on your track record, extensive experience in the field and/or doctorate level qualifications.

What You Need to Know

The successful candidate will need to fulfil the required selection criterion.

How to Apply

Monash Health recognises the value of equal employment opportunity and is committed to patient safety and promoting fairness, equity and diversity in the workplace. At Monash Health we are relentless in our pursuit of excellence and work to our six guiding principles.

Preferred candidates will require a clear Police Check and a current Employee Working with Children’s Check prior to any offers of employment being made.

As part of our selection process, you may be invited by email to participate in an on-camera video interview. 

Please note, applications will be accepted via the Monash Health online Mercury System only. Email applications will not be considered.

Selection Criteria Experience with relevant bioinformatics tools including genome browsers, gene databases, analysis pipelines and curation tools.

PhD in Bioinformatics and extensive, relevant experience or an equivalent combination of relevant experience / education / training.

Considerable experience working with Next Generation Sequencing (NGS) data including Deoxyribonucleic Acid sequencing (DNA-seq) datasets using techniques such as somatic and germline variants identifications

Strong programming, statistical and data analysis skills including languages such as bash scripting in a UNIX environment and statistics based software such as R.

Exceptional communication skills, including the ability to provide authoritative advice and to manage relationships, influence and negotiate at senior levels within and outside the MHTP.

Exceptional planning, organisational and project management skills.

Experience working with high performance and cloud computing.

Prior involvement with the Melbourne Genomics Health Alliance in a bioinformatics capacity.
Contact Person
NamePositionPhoneEmail
A/Prof Beena Kumar Acting Chief Pathologist 9594 3459 beena.kumar@monashhealth.org
Advertising Closing 13/12/2019
Proposed End Date 28/06/2021
Position Documents
DescriptionTitle
Clinical Bioinformatician OP3-Bioinformatics-2.doc
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