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BIOINFORMATICS WITH PYTHON PROGRAMMING

Remote: 
Full Remote
Contract: 
Full time
Work from: 
India

Offer summary

Qualifications:

BS in computer science, bioinformatics, or a related field with 2+ years of hands-on experience in bioinformatics tools and datasets., Proficiency in modern programming languages such as Python, C/C++, Java, or R with 2+ years of coding experience., Familiarity with common bioinformatics databases and resources, along with experience in building analysis pipelines for large-scale genomic datasets., Strong background in imaging workflows for digital pathology and spatial transcriptomics is preferred..

Key responsibilities:

  • Develop and integrate workflows related to spatial transcriptomics and other omics technologies.
  • Establish best practices for workflow optimization and pipeline creation in collaboration with the team.
  • Author clear reports and presentations for various technical stakeholders, including clinical lab directors and bioinformatics peers.
  • Collaborate across teams in bioinformatics, data engineering, and technology development to enhance the quality of clinical reporting.

Stratonik logo
Stratonik https://www.stratonik.com
11 - 50 Employees
See all jobs

Job description

Job description 
We are seeking highly motivated individuals to be a part of an expanding team of engineers, 
computational biologists and bioinformatics scientists as we build the next-generation molecular imaging 
platforms for research, pharmaceutical development and clinical science. In this role, you will develop and 
integrate workflows related to spatial transcriptomics and other omics technologies. As new applications 
and assays are built by the company, you will work with the team and establish best practices for 
workflow optimization and pipeline creation. You will also help to integrate information from relevant 
bioinformatics databases to improve the richness of our downstream analysis. Your scripting and analytic 
skills will be invaluable for interpreting these high dimensional datasets and building the company’s 
integrative frameworks. 
 
Qualifications 
BS in computer science, bioinformatics, or a related field (cell/ molecular biology, genetics, genomic 
science) and 2+ years hands on experience working with bioinformatics tools and datasets. 
Understanding and familiarity with common bioinformatics databases, resources and tools. 
2+ years of coding and scripting in modern programming languages (C/C++, Java, Python, R). 
 
Experience 
➤Preferable to have 3 years of experience with modern laboratory omics workflows for image 
processing, genome sequence analysis, and single cell genomics. 
➤Desirable to have 2+ years of experience in building analysis pipelines and processing large-scale 
genomic datasets. 
➤Preferable to have strong background in imaging workflows for digital pathology and spatial 
transcriptomics. 
➤Experience with gene and protein pathway and network analyses and bioinformatics toolkits from 
the academic open source community. 
➤Knowledge 
➤Experience working with Docker or other containerization technologies 
➤Experience with team-based software engineering and development (Agile, CI/CD, code review, 
etc.) 
➤Support the validation of regulated clinical NGS products and technologies. 
➤Author clear and precise reports and presentations for a variety of technical stakeholders ranging 
from clinical lab directors to bioinformatics peers.   
➤Collaborate across bioinformatics, data engineering, software quality assurance, and technology 
development teams at both the product and corporate level. 
➤Explore genomic data from clinical and research samples and external annotation sources to 
enhance the quality of clinical reporting. 
➤Develop and maintain high-quality analytical tools supporting Tissue Genotyping bioinformatics 
and technology product development and operations.   
➤Computational biology/bioinformatics, genomics, machine learning, or related fields, OR MS and 
3+ years industry/academia experience. 
 
 

 
➤Knowledge of cancer genomics, tumor biology, and/or molecular biology.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

AnalyticsBioinformaticsGenomicsPython (Programming Language)Process OptimizationData EngineeringC++ (Programming Language)Docker (Software)Machine LearningJava (Programming Language)R (Programming Language)Build PipelineAgile Software DevelopmentDigital Image ProcessingSingle-Cell AnalysisProtein ExpressionContainerizationCI/CDGenomics

Other Skills

  • Report Writing
  • Collaboration
  • Communication
  • Problem Solving
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