Sciome consults with leading researchers and provides bioinformatics support for experiments generating ‘omics data from a variety of health and environmental projects. Sciome has an opportunity for a bioinformatics scientist to conduct analyses in support of a variety of genomics and transcriptomics studies that investigate the role of genetic and environmental factors on biological systems. The candidate will have a unique chance to work with leading scientists having wide ranging perspectives on scientific issues and to progress his/her career in a growing organization.

The successful candidate will participate in the analysis of large, high-throughput ‘omics datasets such as those generated by next generation sequencing and microarray platforms via the application of bioinformatics and statistical methods. Projects may also include analyses of developmental, environmental, disease, and other biological data types in addition to genomics data. Typical projects investigate changes gene expression (mRNA-Seq, scRNA, Microarray), the influence of genetic variations (SNPs, chromosomal rearrangements, etc.) and chromatin accessibility and protein-binding (ATAC-Seq, ChIP-Seq, CUT&RUN). Data analysis will be carried out using off the shelf bioinformatics techniques as well as in-house methodologies. Data management, analysis, interpretation, and documentation leading up to publications will be necessary for successful progression of projects.

Education

Master’s or PhD degree in Bioinformatics / Computational Biology / Computer Science / Statistics or closely related field.

Key Responsibilities

• Bioinformatic and statistical analysis of genomics data arising from next generation sequencing and microarray platforms. Specific data types include mRNA-Seq, scRNA, Microarray, Spatial transcriptomics, Exome-Seq, DNA-Seq, ATAC-Seq, CUT&RUN, ChIP-seq, and ChIP-on-Chip.
• Utilize appropriate off-the-shelf tools or in-house methods and keep up with the literature on rapidly evolving next generation sequence data analysis tool sets.
• Contribute towards the management of large biological datasets and maintaining data analysis workflows as necessary for analysis of sequencing and microarray data.
• Participate in drafting data analysis plans per project needs, perform bioinformatics analysis of the data, interpret results and communicate the results with clients and researchers.
• Document analysis workflows and methods for further report generation and/or scientific publication in peer reviewed journals.

Desired Skillset

• Experience with analysis of mRNA-Seq, scRNA, Spatial Transcriptomics, Exome-seq, DNA-Seq, ATAC-Seq, ChIP-seq, ChIP-Chip, CUT&RUN, and microarray datasets.
• Understanding of and experience with applying a wide range of bioinformatics tools and methods for analysis of data originating from next generation sequencing and microarray platforms.
• Familiarity with statistical data analysis methods such as generalized linear and additive models, mixed effects models and other multivariate methods, Bayesian methods, power and sample size calculation, machine learning methods for genomics as well as computational biology methodologies for microarray, SNP, and next generation sequence data analysis.

How to Apply

• Send your detailed CV via email to jobs@sciome.com.
• Refer to position title Bioinformatics Scientist.
• Provide your accurate contact information.