Python Scientific Informatics Engineer

Our client, a leading global pharmaceutical company, is seeking a highly skilled and motivated Bioinformatics Scientist to join their international research organization, driving innovation across multiple therapeutic areas. In this role, you will design, evaluate, and optimize computational methods for large-scale next-generation sequencing (NGS) analysis, contributing directly to discovery and development programs. You will build robust, production-grade bioinformatics workflows for high-performance computing (HPC) clusters and cloud environments, collaborating closely with biologists, data scientists, and domain experts across Oncology, Immunology, Infectious Diseases & Vaccines, Neuroscience, and Pharmacokinetics. ResponsibilitiesDevelop, benchmark, and optimize computational methods to analyze diverse NGS datasetsBuild and maintain scalable, automated bioinformatics pipelines for HPC and cloud-based executionPartner with interdisciplinary scientific teams to translate research needs into reproducible analytical workflowsEvaluate and implement new algorithms, tools, and computational strategies to enhance data processing capabilitiesProduce clear technical documentation, reports, and scientific deliverables RequirementsPhD with 1+ year of experience in bioinformatics, or MSc with 5+ years of relevant experienceHands-on experience processing NGS datasets (WGS, WES, RNA-seq, ChIP-seq, ATAC-seq, single-cell, etc)Practical experience with workflow/pipeline scripting languages (e.g., Nextflow)Strong understanding of computational methods for alignment, assembly, variant detection, enrichment, or related genomics applicationsFamiliarity with common bioinformatics file formats (FASTA, FASTQ, BAM, VCF, etc)Proficiency in Python, R, or C++ within a Unix/Linux environmentExperience with high-performance computing clusters and cloud computing platformsAbility to independently troubleshoot using documentation, GitHub, and online resourcesProven scientific publication recordStrong collaboration, communication, and interpersonal skillsExcellent written and spoken English Nice to haveExperience with containerization technologies (Docker, Singularity)Experience applying or optimizing machine learning tools in a bioinformatics context We offerWe connect like-minded people: Delivering innovative solutions to industry leaders, making a global impactEnjoyable working environment, whether it is the vibrant office or the comfort of your own homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsWe invest in your growth:  Leadership development, career advising, soft skills and well-being programsCertifications, including GCP, Azure and AWSUnlimited access to LinkedIn Learning and Get AbstractFree English classes with certified teachersDiscounts in local language schools, including online courses for the Kazakh languageWe cover it all: Participation in the Employee Stock Purchase PlanMonetary bonuses for engaging in the referral programMedical & family care packageSix trust days per year (sick leave without a medical certificate)Coverage of psychology sessions of your choiceBenefits package (sports activities, a variety of stores and services) Immerse yourself in our collaborative culture by working on-site at our office in Astana, Almaty or Karaganda. Unlock the potential of remote work in Kazakhstan, giving you the flexibility to work from home or access our offices in Astana, Almaty or Karaganda. EPAM is a team of technologists and innovators united by a passion for technology. In Kazakhstan, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. In 2023, EPAM received the Export Excellence Award at the esteemed Digital Bridge Awards, showcasing our commitment to excellence and innovation.