AIML , Cancer Genomics and Computational Biology Trainer

Biotecnika Info Labs; Bengaluru; Híbrido; INR 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Descripción de la vacante

Biotecnika Info Labs Pvt. Ltd. is hiring a Trainer & Scientist AI/ML to design and deliver training in cancer genomics and computational biology.

You will build curriculum, teach live batches and mentor learners on hands-on projects. The role is Bangalore-based, hybrid, full-time, with salary as per market standards. Responsibilities include developing AI/ML content for life sciences, delivering live sessions, guiding genomics projects, mentoring students, and staying current with tools

Formación

• PhD with 1–2 years of relevant research, industry or teaching experience.
• Design curriculum and deliver AI/ML training for cancer genomics and computational biology.
• Mentor learners and review hands-on projects and capstones.

Responsabilidades

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

Conocimientos

AI/ML in life sciences

Cancer genomics

Coding

Biostatistics

Teaching/training ability

Educación

PhD in Bioinformatics, Biotechnology, Computational Biology, Data Science or related field

Herramientas

TensorFlow/Keras

Biopython

Jupyter/Colab

GitHub

Scikit-learn

Descripción del empleo

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.