Katalyst Healthcare's & Life Sciences (Katalyst HLS) is a Global Contract Research Organisation that provides End-to-End Clinical Research Services for Healthcare and Life Sciences companies globally. At Katalyst HLS offers ICH-GCP compliant clinical trial services from Phase I–IV in all key therapeutic areas to support clinical development and research requirements and also provides validation, quality and regulatory services for Pharma/Bio-Pharma/Medical Device industries. Services:- Clinical Trial Management- Clinical Data Management- Biostatistics & Statistical Programming- Medical Writing- Pharmacovigilance- Quality and Regulatory Affairs- GMP, GLP and GCP Validations- Manufacturing Process Validations- Equipments & Instruments Validations- Computer Systems Validations- Human Resourcing

Job description

Job description:
We are seeking a Bioinformatics Scientist to join our cross-functional team and provide advanced computational biology support to aid genetic-data-driven target discovery for male-pattern baldness. The successful candidate will use integrated approaches involving a variety of 'omics data to test and refine biological hypotheses in coordination with wet-lab and computational colleagues.
Responsibilities:

upstream processing of 'omics data (QC, normalization, exploratory data analysis).
downstream interrogation of bulk, single-cell, and/or spatial transcriptomic data (e.g., differential gene expression analysis, gene set enrichment analysis, cell type annotation, cell trajectory analysis, cell-cell communication analysis).
Additional responsibilities may include analysis of proteomics or other data modalities depending upon project needs.
Applicants should be familiar with high-performance computing systems, shell scripting in a Linux environment, and have strong facility with R and/or Python, including relevant bioinformatics packages (e.g., Seurat, edger/lima).
Those with experience integrating multi-modal data (e.g., scRNAseq + scATACseq, spatial RNAseq + spatial proteomics) are especially encouraged to apply.

Requirements:

PhD in Bioinformatics, Genetics, Molecular and Cellular Biology, or related field or MS with at least 6 years of experience.
single-cell and/or spatial transcriptome QC and analysis (e.g., with Seurat or Scanpy).
bulk RNAseq data processing and analysis.
facility with R and/or Python for data exploration and statistical analysis.
experience with high-performance computing (HPC) and job submission systems.

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