Key Facts

Remote From:

Full time

English

Hard Skills

Scripting Python (Programming Language) Genomics Bioinformatics Process Optimization C++ (Programming Language) Analytics Docker (Software) Java (Programming Language) R (Programming Language) Single-Cell Analysis Bioinformatics Network Administration Digital Image Processing

Other Skills

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Teamwork
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Collaboration
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Communication
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Problem Solving

Roles & Responsibilities

Bachelor's degree in computer science, bioinformatics, or related fields such as molecular biology or genetics.
At least 2 years of hands-on experience with bioinformatics tools and datasets.
Proficiency in programming and scripting languages like Python, R, C/C++, or Java.
Knowledge of bioinformatics databases, resources, and workflows.

Requirements:

Develop and optimize workflows related to spatial transcriptomics and other omics technologies.
Integrate bioinformatics data from various databases to enhance analysis.
Collaborate with team members to establish best practices for pipeline creation.
Interpret high-dimensional datasets to support research and product development.

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 nextgeneration 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 (CC++, 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 largescale
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 teambased software engineering and development (Agile, CICD, 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 highquality analytical tools supporting Tissue Genotyping bioinformatics
and technology product development and operations.
➤Computational biologybioinformatics, genomics, machine learning, or related fields, OR MS and
3+ years industryacademia experience.

➤Knowledge of cancer genomics, tumor biology, andor molecular biology.