Q-State Biosciences is seeking a motivated Transcriptomics Scientist to help accelerate our R&D and precision medicine programs. The candidate will be responsible for effective experimental design, rigorous analysis and interpretation of transcriptomics data sets, and communications of reports with scientific findings.
Responsibilities and Duties
The candidate will:
- Analyze and interpret Digital Gene Expression (DGE) and population-based RNA-Seq data sets using state-of-the-art tools. These data sets will include data generated in-house as well as those from public databases.
- Identify transcriptional signatures associated with a particular neurological disease state modeled in vitro through the use of cultured neurons derived from human stem cells of various genotypes. This task requires close interactions with Q-State’s team of cell biologists and data scientists.
- Develop RNASeq, gene enrichment and pathway analysis pipeline using commercial tools to accelerate analysis of transcriptomics data.
- Develop novel bioinformatics methods and algorithms to support emerging product development needs (such as scRNA-Seq).
- M.Sc. or Ph.D. in computer science, computational biology, biostatistics, bioinformatics, systems biology, or a related field (B.Sc. acceptable for the candidate with the right level of experience).
- Experience with commonly used transcriptomics tools such as STAR, kallisto, Tophat, Bowtie, DESeq2, GSEA, R, GoToolbox.
- Experience with analysis and interpretation of high-throughput molecular data in collaboration with molecular or cell biology scientists.
- Familiar with the use of IGV browser and alignment of data with respect to human and mouse genomes.
- Can work independently and has excellent written and verbal communication skills to work successfully in a multidisciplinary team environment.
- Experience with single cell RNA-Seq data sets is a plus but not required.
Please send resume, cover letter, and salary requirements to email@example.com. Due to the large volume of applicants we are unable to accommodate phone calls.