Position: Bioinformatics Analyst
Location: Singapore/Jakarta/Remote
We are hiring a bioinformatics analyst interested in developing a clinical decision support software suite for implementation of genetics in clinical settings. The candidate will be responsible for building analytical and clinical annotation pipelines to interpret genetic, demographic and medical history data. In addition, the candidate will be working closely with our software engineering team to integrate the products with existing EHR systems, and with our QA team to ensure that the products comply with regulatory standards. The ideal candidate has experience in analysing results from WGS, microarray and/or qPCR experiments, preferably in the context of clinical genomics.
· Develop, maintain and improve bioinformatics pipelines for WGS, microarray and qPCR data analysis.
· Contribute to the bioinformatics software product lifecycle from requirements gathering to validation, in accordance with ISO standards.
· Engage with external collaborators to validate established pipelines and develop novel bioinformatics solutions.
· Ensure relevance and accuracy of our clinical decision support software.
· Experience in working with WGS, microarray and/or qPCR data applied to human genomics.
· Knowledge of genomic data exploration, analysis and visualization with Python, R and/or Bash.
· Familiarity with common bioinformatics tools, libraries and data repositories (e.g. GenomeStudio, DRAGEN, GATK, bcftools, samtools, hail, Ensembl, gnomAD, 1KGP, ClinVar). Knowledge of imputation software (e.g. Impute, Beagle) is a plus.
· Analytical pipeline development using workflow languages (e.g. Nextflow), code optimization, testing and documentation. Experience in working with patient data and/or working in a regulated environment (e.g. ISO13485) is a plus.
· Good documentation and organizational skills.
· Ability to present project updates internally and externally.
· Independent, with a positive attitude and a good team player.
· Programming languages and version control: Python, R, bash, git.
· Workflow languages and containerisation: Nextflow, Docker.
· Cloud-based computing: AWS EC2, Batch, EMR, S3.
· Databases: MySQL, PostreSQL, MongoDB.
Minimum education qualification
· Bachelor / Master / PhDin Computational Biology, Bioinformatics, or related field.
Nalagenetics is a venture backed Singaporean company aiming to increase efficacy of prescription and reduce adverse drug reactions using genetic testing and information management systems. We develop core capabilities in three areas: affordable genetic testing, clinical decision support (CDS), and web/app for post-prescription follow up.
Since April 2016, we have deployed 1,000 of our leprosy test in Papua to prevent Dapsone Hypersensitivity Syndrome (DHS) in leprosy patients. We were incubated at Harvard’s Venture Incubation Program and Harvard Business School’s Rock Accelerator and Summer Fellowship, and accepted in Techstars NY.
Nalagenetics is mission-driven: two of our co-founders have seen first-hand adverse reaction through close family members - that experience taught us advanced innovations are in pharma and biotech would not mean much without knowing how to best apply it to our population.