Computational Biologist

About Client:

Our Client is an informatics company providing data and analytics solutions for pharmaceutical and life science sectors. It offers drug discovery and repositioning, target identification, chemistry curation, precision oncology informatics, epidemiology modeling, cloud, and other services.

• Job Locations : Pan India ( Remote mode )
• Must have : I

  ndustrial experience

• Employment Type : Full time
• Notice Period : Immediate - 1 Month
• Years of Experience : (MSC : 3-4 yrs, M.Tech : 2-3 yrs, Phd :1 yrs)

Qualifications:

Any one combination

industrial experience

• Strong track record of scRNA-Seq and other Omics (NGS) data analysis and downstream systemic interpretation are must.

• Good understanding of current best practices in computational biology data-management (NGS/Transcriptiomics/Microarray/Proteomics/Clinical-trials/Text-mining, etc.).

• Expertise in one or more programming/scripting languages such as R, Python, shell-script for complex data analysis.

• Experience with Docker and Nextflow.

• Familiarity with machine learning is an added advantage.

• Experience with Linux environment or cloud computing (AWS/GCP) is a plus.

• Experience with Relational database such as Postgres, MySQL, or Oracle

• Experience with version control systems such as GitHub.

• Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods, and tools.

• Ability to generate scientific hypothesis along with good scientific/technical communication skills would be preferred.

Roles & Responsibilities:

• Work with diverse customers/partners in drug discovery and development

• Work with multi-disciplinary team of PhD level scientists

• Responsible for day-to-day operational activities of Omics (NGS) related projects

• Keeping up to date with relevant scientific and technical developments

• present the results and scientific hypotheses to internal and external stake holders

• Good communication and analytical skills combined with ability to recognize and implement project plans.

• Writing research papers, reports, reviews, and summaries.