4 Hpc Clusters Jobs

As a Bioinformatics Technical Lead at our organization, you will be responsible for driving our computational biology initiatives. With at least 6-8 years of industry or academic experience, holding a PhD or Masters in a relevant field, you will have a demonstrated track record in developing and refining high-throughput pipelines for various omics data types, such as RNA-seq, methylation, and new NGS modalities. This role requires a high level of technical expertise, creativity, and the ability to innovate novel computational algorithms. You will have the opportunity to collaborate directly with distinguished professors from prestigious institutions like MIT, Caltech, Harvard, and others. While primarily functioning as an individual contributor, you will guide a small team of 24 highly qualified bioinformaticians in a technical capacity, focusing on pipeline development, optimization, and algorithmic enhancements. Your key responsibilities will include designing, implementing, and optimizing scalable, production-grade pipelines for NGS data analysis, ensuring reproducibility, efficiency, and accuracy of computational workflows. You will also be involved in developing and applying novel computational algorithms for gene expression profiling, variant calling, and other genomic analyses, as well as mentoring junior bioinformaticians and computational scientists. Collaboration with molecular biologists, data scientists, and software engineers will be essential in translating project goals into robust computational strategies. Maintaining high standards of data integrity, documentation, and version control, as well as implementing quality control checks and validation strategies, will also be part of your role. To qualify for this position, you should hold a PhD in Bioinformatics, Computational Biology, Computer Science, or a related field, or a Masters degree with significant experience. You must have 6-8 years of hands-on experience analyzing high-throughput NGS data, with a focus on RNA-seq, and a proven track record in developing production-level bioinformatics pipelines. Strong programming skills in at least one major language, familiarity with HPC clusters or cloud computing environments, and expertise in data mining, machine learning, or statistical modeling techniques relevant to genomics are essential technical skills required. Preferred qualifications include experience working in a regulated environment, familiarity with workflow management systems, knowledge of containerization technologies, and a history of publications or patents in computational genomics or related areas. Soft skills such as the ability to work in a fast-paced, collaborative environment, strong problem-solving abilities, and the willingness to adapt to new technologies and methodologies will be beneficial in this role.,

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the worlds best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: Working on our next gen platform empowering quant researchers to easily compose custom modeling workflows, with an emphasis on: Reliability, transparency and observability of the system Interoperability across on-prem and multi-cloud infrastructure Working side by side with our researchers and HPC infrastructure team to solve problems in a scalable manner Taking a lead in identifying efficiency and throughput optimizations Continuously enhance the platform to handle ever-increasing data volumes and incorporate cutting-edge machine learning techniques Working in a fast-paced, close-knit and dynamic environment, implementing fixes / features at short notice when needed Qualifications: 4-5 years' experience designing large distributed systems, with passion for performance and high availability at scale Proficient in Python Experience with managing applications on linux HPC clusters and/or cloud platforms Knowledge of GPUs, related technologies and/or machine learning frameworks is a strong plus Strong troubleshooting and problem-solving skills Motivated to learn new technologies and able to work independently Benefits: Towers headquarters are in the historic Equitable Building, right in the heart of NYCs Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: Generous paid time off policies Savings plans and other financial wellness tools available in each region Hybrid working opportunities Free breakfast, lunch and snacks daily In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) Volunteer opportunities and charitable giving Social events, happy hours, treats and celebrations throughout the year Workshops and continuous learning opportunities At Tower, youll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work together. Tower Research Capital is an equal opportunity employer. Show more Show less

Qualification Masters related to Bioinformatics and Computational Biology Role & responsibilities - Combine and analyze multi-omics datasets to find common biological signals and actionable targets. - Classify disease and immune subtypes from both bulk and single-cell data using supervised and unsupervised machine learning methods. - Organize public datasets, evaluate analytical tools, and standardize workflows for clarity and reuse. - Conduct quality control, normalization, subtype and signature predictions across various sequencing platforms. - Create and maintain complete analysis pipelines for new technologies such as spatial transcriptomics - Search large consortia or databases for comparative studies and hypothesis generation. - Optimize resource use and job scheduling on Linux or HPC clusters; maintain version control and documentation. Preferred candidate profile - Programming & Scripting: R, Python, UNIX shell - Statistics & ML: Feature selection, clustering, predictive modeling, dimensionality reduction, survival analysis - Bulk & Single-Cell Analytics: RNA-seq, WES/WGS, methylation, proteomics, RPPA, scRNA-seq - Workflow & Reproducibility: Workflow managers, such as Nextflow or Snakemake, containers, Git - Data Resources: Major public repositories like TCGA and GEO, and internal cohort data management

Role & responsibilities: Design, implementation & support of high-performance compute clusters Solid knowledge on HPC systems, including CPU/GPU architecture, scalable/robust storage, high-bandwidth inter-connects, and a knowledge of cloud based computing architectures Apply their attention to detail to generate HW BOMs for the HCP Clusters, provide vendor management and oversee HW release activities. Use their strong skills with the Linux OS to configure appropriate operating systems for the HPC system Understand and assemble the project specifications and performance requirements at the subsystem and system levels. Adhere and drive to project timelines to insure program achievements complete on time. Support design and release of new products to manufacturing and ultimately the customer, providing quality golden images, procedures, scripts and documentation to the manufacturing team and customer support team. Validated in-depth and flavor agnostic knowledge of Linux systems (SuSE, RedHat, Rocky, Ubuntu) Experience of crafting and maintaining robust storage Strong HPC HW knowledge especially in the server, GPU, networking, Storage, BIOS & BMC arenas. Experience in System-D, Net boot/PXE, Linux HA. Strong understanding of TCP/IP fundamentals and knowledge of protocols, DNS, DHCP, HTTP, LDAP, SMTP. Ability to code and develop Shell and Python scripts. Experience with one or more of the listed Configuration Mgmt utilities. (Salt, Chef, Puppet etc) . Preferred candidate profile: Possess a strong DevOps focus: Knowledge of setting up a continuous development pipeline (Jenkins), Repository software (Git-based), Singularity & Docker Containers. Kubernetes, Prometheus & Grafana experience Knowledge of Apache/Nginx, Setting up proxy/reverse proxy, application server routing, load balancing (HA Proxy) BS or MS degree + 3 to 5 years validated experience Computer Engineering or Electrical Engineer related fields Team Orientation & Interpersonal Highly motivated teammate with ability to develop and maintain collaborative relationships with all levels within and external to the organization. Organization & Time Management Able to plan, schedule, organize, and follow up on tasks related to the job to achieve goals within or ahead of established time frames. Multi-task - Ability to expeditiously organize, coordinate, manage, prioritize, and perform multiple tasks simultaneously to swiftly assess a situation, determine a logical course of action, and apply the appropriate response. Adaptability to Change Able to be flexible and supportive, and able to assimilate change positively and proactively in rapid growth environment. Outstanding teammate with excellent written and verbal communications skills. Education: Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years