Job Location: Kolkata, Mumbai, Hyderabad/Secunderabad, Lucknow, Chennai, Ahmedabad, Delhi / NCR, Bangalore/Bengaluru
Primary Purpose :
– The Senior Bioinformatics Analyst applies existing or implements new analysis strategiesalgorithms suitable for -omics data analysis, writes analysis speci- cationsplans, prepares summary reports that facilitate data interpretation, and contributes to scienti- c publications.
– They also design, develop, evaluate and modify bioinformatics software to process, analyze, and manage -omics datasets and identify and resolve software or data issues. A Bioinformatics Analyst writes well-documented computer code and participates in validation of computer programs.
Responsibilities :
– Applies existing or develops new analysis strategies algorithms suitable for -omics data analysis.
– Develops bioinformatics software for processing, analysis, and management of -omics data.
– Prepares reports to summarize -omics data.
– Keeps up-to-date with analytical methods and software for analyzing-omics data.
– Writes well-documented computer code, conducts code reviews and programming validation as needed.
– Authors or contributes to manuscripts andor scienti- c presentations.
– May provide statistical input for the development of clinical study protocols with -omics endpoints to ensure that the design and methods are scientifically valid and feasible.
– Writes analysis plans that outline analysis strategiesalgorithms for -omics data analysis .
– Contributes to study reports including results interpretation to be distributed to internal and external monitoring committees and regulatory bodies.
– Other duties as assigned.
Experience :
– MS in a scienti- c discipline preferably statistics biostatistics bioinformatics with 4 years of relevant experience or a PhD in a scienti- c discipline preferably statistics biostatistics bioinformatics with 1 year of relevant work experience
– Background in genetics, molecular biology, genomics, proteomics, or other related – elds
– Strong analytical skills with experience in applying andor developing methods for analyzing various types of -omics data (genomics, transcriptomics, proteomics, or metabolomics) from di- erent platforms (next-generation sequencing, microarrays, or mass spectrometry)
– In-depth understanding of common imaging formats (CT and MRI scans as well as whole slide images), DICOM standard, software for managing processing images such as PACS. Strong computer programming skills in the R statistical programming language as well as Python, Perl, CC++, MATLAB, FORTRAN or Java
– Competent in using Linux Unix operating system command line interface
– Experience using IDEs (such as Eclipse or Rstudio) and Version Control software (Git, SVN, or similar) to manage programming code
– Ability to manage multiple tasks.
– Ability to work independently, as well as, in a team environment
– Ability to e- ectively communicate technical concepts, both written and oral
– Experience with image data processinganalysis methodology algorithm development is a plus
– Understanding of Amazon Web Services (EC2 and S3) is a plus
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