Lead - RDIT Modelling

GeneralActively imbibing the values and philosophy of the organization and the department.Efficient contribution to the overall success of RDIT by driving innovation and team performance according to objectives and targets set.Ensuring the security of intellectual property for PI R&D (patent applications, ensuring freedom-to-operate).Continuously updating scientific and domain knowledge with respect to recent literature on computational methodologies, new bioinformatics tools and databases in enzyme engineering & discovery, as well as tools for digitalization and data analytics.Support the Team Leader with special focus on target setting and constantly seek functional feedback.Prepare and present strategic presentations in order to convey key findings, computational results and ideas to the project teams and management.OperationalWork closely with research project stakeholder to achieve and exceed targets within specified timeframe.Candidate will play an essential role in Computational enzyme engineering, in silico enzyme discovery, enzyme evolution analysis, Genomics, transcriptomic analysis (RNAseq/micro array), Protein modelling and simulations using advanced sampling techniques, immunogenicity prediction, peptide design and property prediction by state-of-the-art computational tools like Rosetta, Phyre2, Genious Prime, Sequence Read Aligner, BLAST, ClustalW, Bioconductor, Schrodinger, AMBER/GROMACS, etc.Use programming and scripting skills to automate the process, and enhance the effectiveness and productivity. Eg. R, Perl, Bash, Python, JAVA, mySQLLearn new tools and technologies constantly to be updated with industry developments. Ideate, test and validate in order to launch new programs and initiatives.Continuously keep oneself updated with competition, industry and domain analysis and share important developments with the key stakeholders.Follow all standard operating procedures as defined from time to time, share regular reports and comply to all information/data integrity and security policies.Continuous documentation and reporting of all research results obtained within the area of responsibility.Update on the functional progress/issues of the project on a regular basis and actively seek functional support from Team LeaderConstructive and active participation in all technical and functional meetings of the team.Foster an environment of knowledge sharing within the teamMaintain healthy working relationships with the related teams and departments in PI R&DEducational QualificationPhD in bioinformatics/computational biology or a related field with background in biology / chemistry / physics or informatics from a reputed University / Institute with excellent academic credentials.ExperienceResearch experience of > 3 years from relevant industries and/or high ranking academic institutes in handling and analysing scientific data in order to support enzyme engineering and biologicalsExperience in working on commercial/open source bioinformatics and modelling tools like Rosetta, Phyre2, Genious Prime, Sequence Read Aligner, BLAST, ClustalW, Bioconductor, Schrodinger, AMBER/GROMACSExperience in working with databases like RCSB PDB, IEDB, EMBL, UNIPROT, GenBankExpert in scripting and programming languages like R, Perl, Bash, Python, JAVA, mySQLWell versed with working on cloud (AWS) and HPC servers on LINUX/UNIX environment.Must be able to communicate with key stakeholders on a high level of understanding of contentsExperience in agro-chemical space would be an additional advantage.Interested candidates are requested to share their resumes on