Job Summary

Biotecnika is hiring a Trainer & Scientist to design and deliver AI/ML training in cancer genomics and computational biology, from raw biological data to ML modelling and interpretation. You will build curriculum, teach live batches and mentor learners on hands-on projects. Bangalore-based hybrid role, full time, salary as per market standards.

Job Title: Trainer & Scientist AI/ML, Cancer Genomics & Computational Biology

Company: Biotecnika Info Labs Pvt. Ltd.

Location: Bangalore (Hybrid: first half at our Bangalore office, second half online)

Employment Type: Full-time

Experience: Ph.D.: 1-2 years (relevant research, industry or teaching experience)

Qualification: Ph.D. in Bioinformatics, Biotechnology, Computational Biology, Data Science or a related field

Salary: As per market standards

Key Responsibilities

- Develop curriculum and training content in AI/ML for life sciences, cancer genomics and computational biology
- Deliver live online/offline training sessions and workshops
- Guide students through hands-on projects in genomics, cheminformatics and multi-omics
- Mentor learners and review their projects and capstones
- Keep content current with emerging tools, including LLM workflows and agentic AI

Must-Have Skills

- AI/ML in life sciences: Regression, classification (Random Forest, SVM), clustering; CNNs, RNNs/LSTMs, Transformers; PCA, t-SNE, UMAP; model evaluation (Precision, Recall, F1-score, ROC-AUC, cross-validation)
- Cancer genomics: Tumor classification, biomarker discovery, multi-omics integration, subtype and prognosis modelling
- Coding: Python (Pandas, NumPy, Scikit-learn, TensorFlow/Keras, Biopython), R (Tidyverse, ggplot2, Bioconductor), Linux/Bash,



Jupyter/Colab, GitHub
- Biostatistics: Hypothesis testing, confidence intervals, t-test, ANOVA, chi-square, regression, study design
- Proven teaching, training or mentoring ability

Strong Preference (any of these)

- NGS & multi-omics: FastQC/MultiQC, BWA, Bowtie2, GATK, VEP; RNA-Seq (STAR, HISAT2, featureCounts, DESeq2, edgeR); Scanpy/Seurat; QIIME2, Kraken2; ChIP-seq, methylation, proteomics
- AI-driven drug discovery: AutoDock Vina, PyRx, QSAR, virtual screening, SMILES/InChI, PubChem, ChEMBL, ZINC, DrugBank, SwissADME
- CRISPR: gRNA design, off-target analysis
- Bioinformatics: BLAST, Clustal, MUSCLE, SwissModel, Phyre2; NCBI, UniProt, PDB, KEGG, cBioPortal, TCGA
- Galaxy, agentic AI and LLM-based workflows

Desirable Experience Publications, research projects or a thesis in computational biology or AI-biology integration, and experience with large biological datasets and computational pipelines.

Why Join Biotecnika?

- Shape careers at scale: train students and working professionals in AI/ML, bioinformatics and computational biology, and see them move into industry and research roles.
- A trusted name since 2006: join an established organization with a large community of life science learners and a strong reputation for quality.
- Build your own flagship courses: design and lead cutting-edge programs in AI/ML for cancer genomics and drug discovery, a fast-growing area.
- Grow with us: opportunities for upskilling, leadership and cross-functional learning in a collaborative, innovation-driven team.
- Hybrid flexibility: work from our Bangalore office in the first half and online in the second half.
- Fair pay: salary as per market standards.

📌 AIML , Cancer Genomics and Computational Biology Trainer (Bengaluru)
🏢 BioTecNika Info Labs
📍 Bengaluru