Head of Computational Sciences

4 weeks ago

Singapore A*star Research Entities Full time
At EDDC, our goal is to discover and develop noveltherapeutics by working collaboratively with public sector andindustry partners. EDDC now has an opening and is seeking torecruit a highly motivated and experienced leader for theComputational Sciences group. The successful candidate will beleading the computational biology and information system groups andproviding strategic guidance to the discovery leadership teams andthe EDDC management team in leveraging the power of artificialintelligence (AI) and machine learning (ML) to accelerate the drugdiscovery and development processes, including novel targetidentification.

Responsibilities:
  • Manage a team of software engineers, data engineers,computational biology, bioinformatic, IT professionals, and datascientists to support and contribute to all the discoveryprojects.
  • Drive the implementation ofcross-functional data integration & workflow automation aimedat fostering data-driven and AI-driven approaches to drug discoveryand validation.
  • Lead strategic planning andexecution of artificial intelligence (AI)/machine learning (ML)initiatives, with a focus to support AI-augmented drug design anddevelopment, addressing 'undruggable' targets, and expeditingprocesses.
  • Cultivate and sustain robustcollaborative relationships with various functions within theDiscovery unit and across relevant divisions withinEDDC.
  • Establish, lead and actively contributeto key partnerships with academic and industrial entities withinSingapore or globally to enable the smooth access ofpatient-derived data, support the novel target discovery andevaluation efforts.
  • Oversee all IT operationinfrastructure, propose strategic solutions and recommend newsystems and software.
  • Manage all technologysystems and applications to support EDDC's goals andobjectives

Requirements:
  • A Ph.D. in computer science, data sciences,bioinformatics, computational biology, or relatedfields.
  • An MBA is an addedadvantage.
  • A minimum of ten years ofleadership experience in the pharma/biotech industry, with a strongbackground in the application of computational biology and AI/ML toresearch, translational and clinical programs.
  • Domain knowledge in at least one therapeutic area such asoncology, immunology, and inflammation.
  • Proventrack record of developing and launching industry-gradecomputational biology software platforms, with demonstrated KeyPerformance Indicators (KPIs) and pipeline impact.
  • Hands-on experience with the AWS cloud platform andrelevant certifications is preferred.
  • Excellent executive communication, collaboration andleadership skills are essential.
  • Sound workingknowledge of IT operation, systems, anddevelopments.

Theabove eligibility criteria are not exhaustive. A*STAR may includeadditional selection criteria based on its prevailing recruitmentpolicies. These policies may be amended from time to time withoutnotice. We regret that only shortlisted candidates will benotified.

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