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Senior Molecular Scientist
2 months ago
SRG is seeking a highly skilled Senior Molecular Scientist to join their team in the Detection and Surveillance Technologies (DST) group. The successful candidate will play a key role in the development and delivery of science projects, utilizing DNA barcoding and population genetics to identify plant health pests and pathogens.
Key Responsibilities- Deliver on projects, including planning, conducting experiments, analyzing data, and contributing to project reports.
- Undertake DNA sequence analysis to deliver DNA barcoding results, including working with Sanger sequence data, generating sequence alignments, and tree building.
- Perform population genetic analysis to inform on pest population distributions and potential routes of movement.
- Liaise effectively with customers to ensure projects are delivered to their satisfaction.
- Prepare and deliver talks, presentations, and training to visitors, colleagues, external customers, and at national/international conferences.
- Contribute and lead bid writing and develop scientific project ideas.
- A BSc/MSc in a relevant subject with 3+ years' experience or a PhD and 1+ years' experience. Fresh PhD grads are also encouraged to apply.
- Self-motivated scientist with an ability to deliver project work to cost, time, and quality requirements.
- Experience in, and an in-depth knowledge of nucleic acid-based diagnostics, DNA sequence analysis, and population genetic analysis.
- Proven experience and knowledge of generating sequence alignments and tree building, with some understanding of the pros and cons of particular alignment or tree building tools.
- Experience and understanding of the informed use of external databases such as GenBank, Q-Bank, and BOLD to identify DNA reference sequences to species, and how to consult the relevant scientific literature to verify these.
- A background (theoretical or applied) in population genetic analysis, willingness to test out new analytical approaches.
- Proven experience of report-writing, strong data analysis, and presentation skills.
