Positions Available: 1

Qualification: BE/B-Tech/BCA/MCA (Computer Science/Information Science/ Biotechnology)

Experience: 1 – 3 yrs

Role:
The role offers an exciting opportunity to work in the field of computational biology to develop software application/ tools. The primary role of the software engineer would be to contribute towards design and development of various in house and customer products and tools. Good knowledge of object oriented programming and troubleshooting, are therefore necessary.

Requirements:
Good understanding and in depth knowledge of:

• Object Oriented Programming
• .net technology (C#, Asp.Net, ADO.net , Ajax, Threading Concepts, Web Services and class libraries)
• HTML, CSS and Javascript
• DBMS (SQL or any other Database Management System)

• Web designing tools
• Flash, Photoshop and other tools
• Silverlight

Positions Available: 1

Qualification: PhD

Experience: 0 – 5 yrs

Role:
The primary role of the scientist is to contribute towards customer cases that largely involve enzyme engineering, molecular modelling, specifically molecular dynamics and quantum mechanics studies. Apart from this the candidate should be able to handle high throughput data of structural based and QSAR based virtual screening results, as well as a solid foundation in biochemistry, mathematics and statistics are therefore necessary. Expertise in the areas of different algorithms used in computational biology, scripting languages like perl and python is essential. The role requires actively helping, capturing and refining requirements pertaining to specific customer's scientific use cases. Successful candidate will also be given freedom and encouragement to publish in peer-reviewed scientific journals, to further develop algorithms for data analysis, lead in-house product development programs and propose new initiatives.

Others:

• Able to work independently
• Excellent interpersonal skills
• Outstanding communications skills
• Strong team spirit and commitment to success of all team members

• C# under the .Net Framework as well as Perl
• Knowledge of the R\Bioconductor programming language
• Strong background in multi-univariate and Bayesian statistics, and some experience in machine-learning techniques (SVM, NN)
• We welcome expertise in Ruby, Java, C++/C, and Matlab
• Understanding of scientific workflows, laboratory instrument interactions and scientific data
• Ability to discuss informatics software specifically, bioinformatics, chemo informatics, LIMS, SDMS, other Life Science analytical applications, at varying levels of detail
• Ability to gather market / prospect requirements and scientific use cases and contribute to effective implementation of scientific use cases in complex data environments
• Writing research papers, posters, participation in conferences seminars