Just as biodiversity contributes to healthy ecosystems, a diverse learning environment at the Institute of Bioinformatics and Applied Biotechnology features a wide range of thought, academic disciplines, cultures, identities, socio-economic backgrounds, and creates a robust community.

The institute seeks faculty and staff with varied perspectives, skills, professional practices, and experiences to enrich the learning and teaching experiences of students, colleagues, and others. The IBAB seeks individuals who value education, diversity, and share in our vision to maintain the high standards for which the institute is known. In addition to our competitive benefits package, which is offered to full-time employees, the institute offers an exciting array of activities and programs that employees may participate in, including library privileges, lectures, seminars, conferences and other special events.

Equal Opportunity Employer

IBAB is committed to a policy of equal employment opportunity and does not discriminate against its employees or applicants on the basis of race, color, religious creed, sex, ancestry, national origin, age, physical disability, mental disability, medical condition, genetic characteristic pregnancy, marital status, military, veteran status, sexual orientation, gender identity, transgender identity, gender expression, or any other characteristic protected by applicable state or federal law. Equal employment opportunity is extended to all persons in all aspects of the employer-employee relationship, including without limitation, recruitment, hiring, upgrading, training, promotion, compensation, benefits, leave of absence, transfer, discipline, layoff, recall and termination. This commitment applies to all persons involved in the operations of IBAB and prohibits unlawful discrimination by any employee of IBAB.

Available Job Opportunities

Jobs that help you shape your career, for the good!

Faculty Position in Computational Biology/Genomics at IBAB

IBAB seeks to appoint a faculty member in the area of computational biology with a focus on genomics and analysis of Next Generation Sequencing data. The applicant should have an inclination to develop research programmes in genomics with a strong focus on genomic data analysis, and to develop algorithms and tools for the analysis of such data.

Responsibilities:

Primary responsibilities include

  • Teaching genomics and NGS data analysis courses in the educational programmes of the Institute
  • Conducting short-term training programmes in genomics and computational biology for students, researchers and faculty
  • Developing strong, extramurally-funded and collaborative research programmes in genomics for biological and clinical data analysis
  • Supporting institutional research and academic programmes, and participating actively in institutional activities

Eligibility

  • Ph.D. in computational biology/genomics/bioinformatics
  • Strong publication track-record relevant to genomics data analysis.
  • Experience in scripting and implementation of algorithms in programming languages including Python, R, etc.
  • Experience in the analysis of various Next Generation Sequencing data, including application of AI and ML
  • Minimum of two years of post-doctoral/ industrial experience
  • Ability to communicate effectively with multiple audiences
  • Evidence of commitment to teaching and training

Remuneration: Remuneration will be commensurate with expertise and experience

How to Apply:

Interested candidates can apply with their CV (with the names and details of at least three relevant referees), a cover letter and details of the research programme they would like to initiate at IBAB to the Director, IBAB by email bdbfaculty@ibab.ac.in on or before 15th December 2022.

Shortlisted candidates will be invited for a teaching session for students, followed by a presentation of their research programme to the faculty of the Institute and a personal interview.

About IBAB:

The Institute of Bioinformatics and Applied Biotechnology (IBAB) is a unique institute engaged in education, research and entrepreneur support programmes and is based in Electronic City, Bangalore. IBAB’s mission is to catalyze the growth of the biotechnology and bioinformatics industries in India. IBAB offers a distinctive master’s degree programme with dual specialization in bioinformatics and applied biotechnology and a PG Diploma in Big Data Biology besides its interdisciplinary PhD and Post Doctoral programmes. An innovative Masters Programme in Big Data Biology is being initiated from the coming academic year. The objective of the programme is to train students in emerging areas of genomics, algorithms and the application of AI and ML for the analysis of biological and clinical data. The institute has strong research programmes in various disciplines, as evidenced by the publication track record of the faculty. It has an excellent infrastructure and an ambience suited for advanced research in the areas mentioned above. For more details, please visit www.ibab.ac.in.

Postdoctoral position at IBAB

The Subha Lab at IBAB (https://www.ibab.ac.in/people/distinguished-professors-and-chairs/prof-subha-srinivasan/) has a post-doctoral position open to study the role of the homologs of TNF-TNFR super family in Plasmodium resistance, which may be evolutionarily conserved in mosquito vectors since before the invertebrate-vertebrate split. The work will involve but not limited to:

  • Tracing the evolutionary origin of TNF-TNFR super family in innate immunity
  • Recombinant expression of selected genes from malaria vectors; co-crystallization of the respective receptor-ligand complexes; determination of the crystal structure oft he complex
  • Expression profiling of pathway genes before and after blood feeding among infected and uninfected insects with Plasmodium.
  • knock-in or knock-out of selected genes to demonstrate direct link between the genes Plasmodium sensitivity; Inhibition of this pathway using RNAi and/or small molecule inhibitors to demonstrate plasmodium sensitivity to selected genes;cellular localization studies of the respective ligands and cognate receptors
  • Limited cage experiments demonstrating the utility of selected plasmodium resistant gene using gene drive technology You are someone who is well-versed with:
  • Bioinformatics tools and concepts
  • Molecular biology techniques
  • Good team player
  • Good written and oral communication skills
  • Fast and independent learner and interested in teaching
  • Preferably write codes in python or other languages
  • Familier with R and knows statistical methods as applicable to data interpretation in biology