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Biotechnology & Life Sciences

Bioinformatics Scientist

Applies computational approaches to analyze and interpret complex biological data, such as genomic, proteomic, and metabolomic information.

Science

Career role details and responsibilities

Applies computational approaches to analyze and interpret complex biological data, such as genomic, proteomic, and metabolomic information. Bioinformatics Scientist sits within the Biotechnology & Life Sciences career cluster and focuses on applying domain knowledge to practical problems. Students exploring this role should understand the work context, skill expectations, education pathways, and long-term growth opportunities before shortlisting it.

Role details

Applies computational approaches to analyze and interpret complex biological data, such as genomic, proteomic, and metabolomic information. Bioinformatics Scientist sits within the Biotechnology & Life Sciences career cluster and focuses on applying domain knowledge to practical problems. Students exploring this role should understand the work context, skill expectations, education pathways, and long-term growth opportunities before shortlisting it.

Responsibilities

Develops and utilizes algorithms and software tools, analyzes large biological datasets, manages databases, models biological systems, and collaborates with biologists and clinicians. Typical responsibilities include understanding user or business needs, applying relevant tools and methods, and coordinating with stakeholders. The role also requires continuous learning, quality improvement, and adapting to changes in technology, industry practices, and market demand.

Next Gen career options

AI in Genomics Specialist, Systems Biology Modeler, Multi-omics Data Integrator, Computational Epigeneticist, Personalized Treatment Pathway Designer.

Pointer: Next Gen career options related to this role

AI in Genomics Specialist, Systems Biology Modeler, Multi-omics Data Integrator, Computational Epigeneticist, Personalized Treatment Pathway Designer.

Educational institutes

Top 5 educational institutes in India

Name of Institute Location Website
Indian Institute of Science (IISc) Bengaluru, Karnataka https://www.iisc.ac.in/
Indian Institute of Technology, Delhi (IIT Delhi) New Delhi, Delhi https://home.iitd.ac.in/
University of Hyderabad Hyderabad, Telangana https://www.uohyd.ac.in/
Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR) Bengaluru, Karnataka https://www.jncasr.ac.in/
National Centre for Biological Sciences (NCBS) Bengaluru, Karnataka https://www.ncbs.res.in/

Top 5 educational institutes globally

Name of Institute Location Website
Massachusetts Institute of Technology (MIT) Cambridge, USA https://www.mit.edu/
University of California, Berkeley Berkeley, USA https://www.berkeley.edu/
University of Oxford Oxford, UK https://www.ox.ac.uk/
University of Cambridge Cambridge, UK https://www.cam.ac.uk/
EMBL (European Molecular Biology Laboratory) Heidelberg, Germany https://www.embl.org/
Refer our tool Unifinder to explore university matching your requirements https://counselnavi.com/uni-finder
Career role Name
Bioinformatics Scientist
Career Cluster
Biotechnology & Life Sciences
Industry alignment
Biotechnology (genomics, drug discovery), Pharmaceutical Research, Academia (research labs), Healthcare (personalized medicine), Agri-tech.
Work environment
Primarily indoor office or computer lab environment. Standard working hours, generally good work-life balance, though project deadlines can require extra effort. Mostly remote-friendly.
Opportunity Type
Very high growth potential due to increasing data complexity. Moderate work stress, requires continuous learning and problem-solving. Excellent salary growth potential.
Key skills needed
Computational Biology (algorithm development, modeling - expert), Genomics/Proteomics Data Analysis (sequence analysis, variant calling - expert), Programming Languages (Python, R, Perl - expert), Database Management (SQL, NoSQL - advanced), Statistical Analysis (machine learning, data mining - expert).
Interest type alignment
Investigative (I) - enjoys complex problem-solving and data analysis. Realistic (R) - skilled in programming and using computational tools. Conventional (C) - methodical and organized in data management and analysis.
Career growth Path
Bioinformatics Analyst (0-3 yrs) -> Bioinformatics Scientist (3-7 yrs) -> Senior Bioinformatics Scientist (7-12 yrs) -> Lead/Principal Scientist or Bioinformatics Group Manager (12+ yrs).
Suggested education Pathways 10th standard onwards
  • Grade 10: Science stream with Biology, Mathematics
  • Grade 12: B.Tech/B.E. in Computer Science/IT, or B.Sc. in Biology/Biotechnology with strong Math/Comp skills
  • Post-Graduation: M.Tech/M.S. or Ph.D. in Bioinformatics, Computational Biology, or related fields
Education Stream recommendations
Science
Demand in India
Rapidly growing demand, especially in research institutions and biotech companies in Bangalore, Hyderabad, and Pune.
Demand globally
Extremely high global demand across academic research, pharma, biotech, and tech sectors.
Career & Job Prospects
Roles in data analysis, research, algorithm development in biotech/pharma companies, academic institutions, and government research labs. Related roles include Computational Biologist, Genomics Analyst, Data Scientist (Biofocus).