Manna Biotech is looking for a skilled and research-oriented Bioinformatician who can independently handle bioinformatics projects, analyse biological datasets, support research and academic projects, and train students in practical bioinformatics workflows.

The candidate will work closely with the research and academic teams and will be responsible for taking assigned projects from problem definition and data collection through analysis, interpretation, visualization and report preparation.

Key Responsibilities

- Bioinformatics Research & Data Analysis

Perform bioinformatics analysis for academic, research and client projects.

Analyse genomic, transcriptomic, proteomic and other biological datasets.

Retrieve and curate biological data from appropriate public databases.

Perform sequence retrieval, alignment, annotation and comparative sequence analysis.

Conduct phylogenetic and evolutionary analyses.

Perform gene/protein functional annotation and enrichment analysis.

Perform pathway and network-based analysis where required.

Interpret computational results from a biological perspective.

Prepare publication-quality tables, figures, heatmaps, plots and other visualizations.

- NGS & Omics Analysis The candidate should be able to work with or develop proficiency in:

Raw sequencing data QC and preprocessing

FASTQ/FASTA handling

Read trimming and filtering

Genome/transcriptome alignment

Variant analysis

RNA-Seq and differential gene-expression analysis

Functional enrichment analysis

GO and KEGG/pathway analysis

Microbiome/16S analysis

Metagenomics workflows

Whole-genome/exome analysis

Oxford Nanopore sequencing data analysis

Integration and interpretation of multi-omics datasets

- Computational Biology & Drug Discovery

Depending upon project requirements, responsibilities may include:

Protein and nucleotide sequence analysis

Protein structure retrieval and analysis

Homology modelling

Molecular docking

Virtual screening

Molecular dynamics-related workflow support

ADMET and drug-likeness analysis

Target identification and validation

Protein–protein interaction analysis

Network pharmacology

Biomarker discovery

- Programming & Data Science

Working knowledge of one or more of the following is preferred:





Python | R | Linux/Unix | Bash | Bioconductor The candidate should be comfortable handling large biological datasets and should progressively contribute to:

Workflow automation

Reproducible analysis pipelines

Statistical analysis

Biological data visualization

Machine learning/AI applications in bioinformatics

Documentation of scripts and computational workflows

- Student Training & Mentoring An important component of this position is training and academic mentoring.

The Bioinformatician will

Train BSc, MSc, BTech, MTech, BPharm, MPharm, PharmD and other life-science students.

Conduct practical bioinformatics training sessions.

Mentor internship students.

Guide dissertation and project students.

Help students understand the biological rationale behind computational analyses.

Design project topics based on the student's academic background and interests.

Develop practical exercises, datasets and training materials.

Monitor student project progress and maintain appropriate records.

Assist students in interpreting results and preparing project reports/presentations.

- Research Project Development The candidate should assist the Manna Biotech research team in:

Literature review

Identification of research gaps

Development of research questions

Designing bioinformatics methodologies

Selection of databases, tools and analytical pipelines

Development of innovative research/project concepts

Integration of wet-lab and computational findings

Preparation of research reports and manuscripts

Preparation of scientific figures and supplementary data

- Client Project Management For assigned client projects, the Bioinformatician will be expected to:

Understand the scientific objective and deliverables.

Assess data and analysis requirements.

Prepare an appropriate computational workflow.

Execute analyses accurately and within agreed timelines.

Maintain organized project files and analysis records.

Perform appropriate quality checks before submission.

Explain results to the research/project coordination team.





Assist in technical discussions with clients when required.

Confidentiality of client data and unpublished research is mandatory.

Technical Skills Preferred

Experience with several of the following would be advantageous:

NCBI, BLAST, UniProt, PDB, Ensembl, UCSC Genome Browser, GEO, SRA, Galaxy, Clustal Omega, MEGA, Cytoscape, STRING, DAVID, KEGG, R/Bioconductor, Python, Linux, AutoDock/AutoDock Vina and relevant genomics/NGS analysis tools.

Knowledge of emerging AI/ML applications in genomics, precision medicine, biomarker discovery and computational drug discovery will be considered an advantage.

Documentation Responsibilities The candidate must maintain proper documentation for:

Projects undertaken

Analysis pipelines

Input and output datasets

Software/tools and versions used

Parameters used for analyses

Results and interpretations

Student training activities

Project progress

Final deliverables

Analyses should be traceable, scientifically defensible and reproducible wherever technically feasible.

Educational Qualification

Preferred: MSc/MTech or equivalent qualification in:

Bioinformatics

Computational Biology

Biotechnology

Genomics

Systems Biology

Life Sciences with strong bioinformatics experience

Candidates with relevant project/research experience will be preferred.

Candidate Profile The ideal candidate should have:

Strong understanding of molecular biology and genetics.

Good analytical and problem-solving ability.

Ability to learn current bioinformatics tools rapidly.

Research-oriented thinking.

Ability to independently execute assigned analyses.

Good scientific communication skills.

Ability to teach and mentor students.

Positive documentation and presentation skills.

Ability to manage multiple projects and deadlines.

Professional approach toward confidential research/client data.

Key Performance Expectations

Performance will primarily be assessed on:

Scientific Accuracy | Project Completion | Turnaround Time | Data Quality | Documentation | Student Training Quality | Client Deliverables | Research Contribution | Workflow Development | Professional Conduct

Reporting The Bioinformatician will work under the Research/Academic Management of Manna Biotech Private Limited and coordinate with laboratory, research, training and project-management teams as required.

📌 Bioinformatician (Hyderabad)
🏢 Manna Biotech
📍 Hyderabad