ABOUT THE ROLE
The
Scientist will play a key role in delivering NGS and microarray data
analysis projects, supporting product development, managing NGS projects
for clients and offering guidance to junior analysts. The Scientist
will also be involved in maintaining quality systems and supporting
marketing related activities.
RESPONSIBILITIES
•
Perform analyses on NGS data using various workflows and other
experimental models for clients from pharmaceutical, biotech and
academic institutions worldwide.
• Define and implement quality control procedures at both technological and biological levels for high volumes of NGS data.
•
Develop cutting-edge algorithms, pipelines and applications to analyze
data from clients. S/he will work closely with software development team
as a domain expert.
• Perform analysis and
interpretation of data from genomic platforms including expression,
exon, tiling, promoter and other primary, secondary and tertiary data as
per client’s requirements.
• Coordinate with
biologists and bioinformaticians in designing models
summarizing/explaining experimental data; provide interpretive analyses
of data derived from different experimental platforms to generate
biologically meaningful reports.
• Contribute technically and functionally to the team on requests for grants and solicitations.
DESIRED EXPERIENCE AND KNOWLEDGE
•
Experience in the field of bioinformatics and/or functional genomics
with experience working in a high performance computing environment.
•
Strong Research Background for Genome-wide and gene-focused efforts
such as next-generation sequencing, Structural/Functional Genomics,
Proteomics.
• Demonstrated experience extracting
and describing complex high dimensional data and presenting those data
in a biologically meaningful context.
• Strong Publication record.
• Experience in NGS software analysis packages.
• Experience in Scientific and Technical documentation
TECHNICAL SKILLS
• Programming Languages : PERL/Python
• Domain knowledge in genomics, proteomics and metabolomics
• NGS data analysis workflows : WGS, Targeted capture, WES and methylseq and custom NGS pipelines
• Commercial Tools : IPA, Partek genomics suite, DNAnexus, etc…
• Statistical Packages : CRAN-R, Matlab in big data analysis
• OS : Linux (Fedora/Debian)
EDUCATION
Ph.D. or equivalent graduate degree in bioinformatics/biostatistics/computational biology or a life sciences related field.
Background
MBBS/B Tech(Premier institutes), PhD( Bioinformatics/computational
Biology) plus 3-4 years Post Doc/industry experience will be preferable
(Five years of specialized experience plus a Master’s degree will be considered to be equivalent to a Ph.D.)
Don't forget to mention Naturejobs when applying.
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