Scientist , Molecular Biology

Position: Scientist I, Molecular Biology
Location: Bengaluru

Job description   Role & Responsibilities    Role:
To be an integral part of an antibody development team with a focus on performance and specificity using innovative molecular biology methods.
Responsibilities:
Meticulous experimental planning and execution to meet program goals.
Timely record keeping of results into data sheets and laboratory note-books.
Regular mining of literature and keeping oneself up to date with developments in field of antibody development.
Compilation and presentation of data in written and oral formats. Active participation in team meetings.
Attention to detail and adherence to schedules.
Candidate Requirement:
Education & Experience levels:
Applicants should have Master's with 0-3 years confirmed experience or a fresh PhD (submitted within last one year) in a life sciences field with a strong focus on protein design, protein purification, molecular biology, immunology, biotechnology or biochemistry.
Nature of experience:
Experience in molecular biology, which could include nucleic acid extraction, PCR, and cloning. Experience working with RNA and understanding of best practices for RNA work.

Experience with bioinformatics such as BLAST, pairwise and multiple sequence analysis, design and construction of expression vectors, codon optimization, PCR primer design.

Experience with molecular biology software such as Snapgene, CLC Workbench or Geneious.
Prior work in single cell molecular biology workflows, next generation sequencing and/or display technologies desirable.
Knowledge and experience in protein purification, immunoassays such as ELISA, Western Blotting, Immunocytochemistry, Immunohistochemistry or Flow cytometry, and cell culture techniques.

Experience with protein or antibody conjugation will be a plus.
Theoretical or practical experience in antibody development platforms is desirable.
Project or work experience in support of relevant skills such as publications, project reports or thesis work.
Proficient in MS Office applications such as Word, Powerpoint, Excel and possess a strong statistical knowledge and familiarity with statistical software such as Prism.