BioInformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. As an interdisciplinary field of science, bioinformatics combines computer science, statistics, mathematics, and engineering to analyze and interpret biological data. Bioinformatics is both an umbrella term for the body of biological studies that use computer programming as part of their methodology, as well as a reference to specific analysis "pipelines" that are repeatedly used, particularly in the fields of genetics and genomics. Common uses of bioinformatics include the identification of candidate genes and nucleotides (SNPs). Often, such identification is made with the aim of better understanding the genetic basis of disease, unique adaptations, desirable properties (esp. in agricultural species), or differences between populations. In a less formal way, bioinformatics also tries to understand the organisational principles within nucleic acid and protein sequences.


GenomicLabs' Services are focused in developing technologies and people for Next Generation Genomics

People & Technology

GenomicLabs can help you first create proposal ideas through the illumination of important research issues within most topic areas. We can then provide you with a thorough literature review that can be used as the foundation for specific research questions or hypotheses. We also offer consultation on appropriate methodological procedures and statistical techniques; Processing and analysis of statistical data and Written drafts of Methodology and Results. GenomicLabs selects technologies, products and people to “create a best of breed informatics organization” from the basics of biology and genetics to application of semantic technologies. Through modeling, case studies, and best practice examples, our products will demonstrate techniques on how to combine data in a meaningful way.


Science moves forward by corroboration – when researchers verify others’ results. Science advances faster when people waste less time pursuing false leads. No research paper can ever be considered to be the final word, but there are too many that do not stand up to further study. There is growing alarm about results that cannot be reproduced. Explanations include increased levels of scrutiny, complexity of experiments and statistics, and pressures on researchers. Journals, scientists, institutions and funders all have a part in tackling reproducibility. GenomicLabs helps this process by


Building people for Genomics is one of the main focus for GenomicLabs. We have special training for students

Jobs / Interns

GenomicLabs is looking for teachers and interns to build and shape an environment that would help create an ecosystem that will encourage and find a cure for cancer.

Join the team and make a difference


The mission of GenomicLabs is to develop people for bioinformatics, genomics, and related life science technologies and to foster technology utilization and improvement through multidisciplinary research activities on technology with an aim to find a cure for cancer in our lifetime

If you share the passion, have a desire of making a difference and help change the world as we know it, then consider joining GenomicLabs

We are seeking candidates with a research program in the area of experimental genomics (or other -omic areas) with a significant computational, statistical or modeling component. Candidates should have a significant interest in education and be dedicated to becoming an excellent undergraduate teacher. The successful candidate will be expected to teach courses that contribute to the integration of computational and quantitative approaches curriculum. These may include lecture and laboratory courses in introductory biology, molecular biology, and genetics/genomics. In addition, the successful candidate will develop a vigorous, externally funded, experimental research program involving undergraduate students. A Ph.D. is required and postdoctoral research experience is highly desirable. Applicants should submit a cover letter, curriculum vitae, a 2-page statement of teaching experience and interests, a 2-page statement of externally-fundable research plans, and three letters of recommendation as PDF files. Application materials should explicitly address how the applicant’s teaching and research will take advantage of the unique teaching model offered by the GenomicLabs.

A part-time Research Scientist position is available with GenomicLabs, a full service diagnostic laboratory that strives to provide cutting edge genomics tests. As part of the Genomics R&D team the candidate will improve current Next Generation Sequencing (NGS) workflows as well as bring on new technologies and develop novel assays and approaches. The position requires the candidate to engage in fundamental assay development and seamlessly transition their work into the clinical setting. The candidate should be efficient at acquiring new technical skills and driven to see projects through.
The content developer works with scientific education team to map scientific material competencies and skills, topics, objectives, and assessment materials into program design matrixes to demonstrate that information is timely updated. Design and develop assessment activities, including assessment questions, simulations and reusable objects and templates using a variety of tools and applications. Validating contents for accuracy and usability using support communications and ensure adherence to goals set by the scientific project management and education team to find out the right place for the placement of contents in the website to develop the reachability and act as a traffic manager for the scientific web content and various scientific education events.
Help build best of breed technology plaform. This site should be a goto site for people wanting to know or use genomics. Ultimate aim is to do our part in finding a cure for cancer

About GenomicLabs

GenomicLabs’ Mission
GenomicLabs is a not for profit organization, and is focussed on making significant contributions to medical research in finding effective cure for cancer in our lifetime. GenomicLabs aims to achieve this by building a community of subject experts in bioinformatics to provide support for whole-genome research into inherited diseases and disorders with a genetic component, including cancer.

The Roadblocks
Genomics is a fast-growing field in medical research and is a highly promising source of finding new insights into the genetic cause of disease. However, there are not enough Biologists/Genomists to meet the needs in bioinformatics/data analysis, biomedical engineering, system biology, and health economics/outcomes research. In addition to the shortage of resources, often the published results are either not reproducible or in some cases patently false.

The Solution
GenomicLabs supports by providing third-party verification for acceptance to save time and effort and improve efficiency of work done by these companies by providing a “Verified By Genomic Labs” seal of approval. This seal of approval should give pharmaceutical and biotech companies the much needed credibility without compromising their “Intellectual Property” rights. In addition to verification, we also augment these companies with talent pool of researchers from the computational and life sciences fields to assist them in harnessing breakthrough in science. GenomicLabs’ ultimate goal is prevention, treatment or cure for cancer.

Our Partners / Our Clients / Leading Thinkers in Genomics

No business planner in biotechnology or diagnostic equipment or services can ignore the trend of sequencing, and particularly next-generation sequencing. This technology has enabled a wide scope of research and genetic analysis. The promise of DNA sequencing has attracted many companies, researchers, and investors. DNA sequencing has already become a large market, and clinical applications of DNA sequencing are being developed and commercialized. More than ever, marketers of advanced equipment and those investing in those companies need a resource to identify the specific developments in sequencing.

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