Ultima Genomics jobs

Medical Director – Medical Genetics & Genomics – EviCore United States Work at Home posted: Posted 15 Days Ago

Scientist III Salt Lake City, UT, United States Overview Scientist III, Genomic Science - Salt Lake City UT Scientist III leads complex research projects, designs innovative assays, and provides strategic input to the R&D team. You will work collaboratively with cross-functional teams and contribute to the advancement of our genetic testing technologies. The Research and Development group at Myriad Genetics is responsible for creating and updating a portfolio of cancer tests. The role requires individuals who are aware of both the clinical and molecular aspects of the various genes, mutational mechanisms and diseases that we work with. This position will require both strong bench and analytical skills to design, execute and analyze experiment in cfDNA and NGS fields. Perform the experimental design, execution, data collection, and data analysis of molecular assays that utilize next generation sequencing (NGS) and other methodologies for analyzing cfDNA, DNA and RNA. Lead the design, development, and optimization of existing and new advanced, molecular assays. Manage and execute complex research projects from conception to completion. Analyze, interpret, and present high-level experimental data to stakeholders. Collaborate with cross-functional teams to integrate molecular biology with automated and data-driven systems. Ensure good documentation practices for assay development, validation, quality assurance, technical investigations, and operational support of molecular diagnostic tests in a highly regulated clinical laboratory environment. Maintain familiarity with the field's concepts, practices, and procedures. Qualifications An individual with a scientific background who works well in teams including large, diverse and cross-functional settings. The ideal candidate would be familiar

Software Development Engineer, AWS HealthOmics Mountain View, California, USA As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Genomics researchers, drug discovery teams, and scientists shouldn't need to manage compute resources and workflow engines - they should be focused on scientific breakthroughs. AWS HealthOmics is a HIPAA-eligible service that fully manages bioinformatics workflow infrastructure at scale, and our Usability Team's mission is to make the experience feel effortless. As an engineer on this team, you'll build the APIs and developer tools that put genomic analysis directly into customers' workflows: the Kiro plugin, SDK, and platform APIs that support thousands of bioinformatics pipelines daily. You'll tackle problems like: How do we design APIs that developers enjoy using? How do we build scalable solutions that make complex pipelines feel intuitive to the end user? You'll work across the stack - from service architecture and API design to the integration points that shape the customer experience. You'll partner with UX designers and product managers, use data to drive

Computational Scientist II United States Overview The Computational Scientist II envisions, designs, builds, validates, and launches new genomic products and product features that directly improve patients' lives. Responsibility Author optimized and reliable analysis pipelines applied to samples. Rigorously analyze a variety of big datasets to gain actionable insights launched into the lab. Amplify the productivity of the entire R&D team by creating time-saving software tools and environments. Work on collaborative teams with experimental scientists, software engineers, automation engineers, and data scientists. Communicate results internally to key stakeholders and externally at conferences and in peer-reviewed literature. Qualifications PhD (or master's degree with relevant experience) in bioinformatics, computational biology, computer science, biophysics, physics, statistics, molecular biology, genetics, or related discipline required. Conversant in molecular biology and genetics. Exceptional software skills, preferably with fluency in Python. Impeccable integrity and palpable drive, with the competency to be self-sufficient and a strong desire to be part of a supportive team. Experience with Next Generation Sequencing preferred. Applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder) living full time in the USA We take geographic location into account when determining base salary to ensure equitable and competitive compensation. #LI-KO1 Computational Scientist II

Computational Scientist III South San Francisco, CA, United States The Computational Scientist III is member of the research team and contributes to design, development, maintenance, and validation of molecular assays and analytical pipelines working closely with molecular biologists, lab directors and software engineers. Responsibility Make critical contributions to wide range of products in a cutting-edge clinical genomics laboratory. Use rigorous data science and modern software best practices to create efficient, reliable, and optimized bioinformatics tools. Work closely with molecular biologists, clinical scientists, software engineers, automation engineers, and data scientists. Characterize data resulting from novel molecular assays and guide molecular protocol development from a statistical perspective. Mentor junior scientists and research associates, guiding the overall path and success of key projects. Author posters and publications demonstrating the scientific prowess of our products and algorithms that power the products. Work with legal staff to secure intellectual property rights for inventions pertaining to our products. Communicate results to stakeholders across the organization. Qualifications PhD in Computational Biology, Statistics, Molecular Biology, Genetics, Computer Science, Systems Biology, Biophysics, Physics, or a related discipline. 3+ years of experience developing methods to analyze large, noisy real-world data sets (in the context of molecular biology and/or human genetics, a plus). Experience developing custom analysis methods and algorithms and analysis pipelines. Experience working with CLIA-validated assays and authoring CLIA validation plans, Illumina Next Generation Sequencing (NGS), and other sequencing platforms. Strong computation skills, fluency in Python and a workflow definition language, and knowledge of software engineering best practices. Multiple

Sr. Principal Scientist, Bioinformatics, Computational Biology, Precision Medicine India - Hyderabad posted: Posted 30+ Days Ago

Senior Research Scientist I/II, Computational Biology & Toxicology North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: The Computational Toxicology group is dedicated to advancing in-silico approaches that improve the prediction and mechanistic understanding of drug safety across small molecules, biologics, and emerging modalities. This role sits at the intersection of biological science and computational innovation - and that intersection is intentional. We are looking for a scientist with deep domain knowledge in biology who has also developed computational skills to independently design, build, and deploy data-driven solutions. The ideal candidate can stand at the bench conceptually, understand what drives experimental variability, and architect computational solutions that reflect biological reality. The role focuses on integrating diverse data sources - including pharmacology, toxicology, genomics, pathology, chemistry, and clinical datasets - into predictive and interpretable models. You will work directly with research scientists to understand their workflows, co-design solutions, and build tools that make computational capabilities accessible to generalist scientists across Development Sciences. Responsibilities Serve as a scientific translator between wet-lab researchers and computational

Somatic Medical Science Liaison III - East US United States Please submit a cover letter with your application for this position Geography: Multiple positions available across the U.S. Territory size and geography may vary and will be assigned based on evolving business needs and the location of the selected candidate Description: Myriad Genetics is seeking an experienced Medical Science Liaison (MSL) to support the Somatic / Tumor Genomics portfolio within Myriad Genetics. This field-based, scientifically focused role supports liquid and tumor profiling across solid tumors, including MRD testing, NGS based assays, biomarker driven therapy selection, resistance mechanisms, and treatment monitoring. The MSL will engage with medical oncologists, gynecologic oncologists, surgeons, molecular pathologists, and urologists across academic centers, and community oncology practices. This individual will serve as a conduit of clinical expertise, scientific exchange, and insights that inform medical strategy. This position reports to the Director of Medical Affairs, Somatic, and partners closely with Medical Affairs colleagues, product, R&D, clinical operations, marketing, commercial teams, and cross-functional leadership. Responsibilities: Maintain MSL Expertise through: Demonstrating deep knowledge of Myriad's liquid and tumor profiling portfolio, including biomarkers, targeted therapies, immuno-oncology, therapy selection pathways, tumor biology, and NGS ‑ based testing. Staying current on emerging clinical data, guidelines (NCCN, ASCO, ESMO), competitive trends, and evolving precision oncology treatment standards. Attending and representing Myriad at national and regional medical conferences for scientific engagement and insight reporting. Building and maintaining relationships with regional and national KOLs in oncology, molecular pathology, and related specialties. Contributing to the Somatic

Applied Scientist II, Annapurna ML Cupertino, California, USA The AWS Neuron Science Team is looking for talented scientists to enhance our software stack, accelerating customer adoption of Trainium and Inferentia accelerators. In this role, you will work directly with external and internal customers to identify key adoption barriers and optimization opportunities. You'll collaborate closely with our engineering teams to implement innovative solutions and engage with academic and research communities to advance state-of-the-art ML systems. As part of a strategic growth area for AWS, you'll work alongside distinguished engineers and scientists in an exciting and impactful environment. We actively work on these areas: - AI for Systems: Developing and applying ML/RL approaches for kernel/code generation and optimization - Machine Learning Compiler: Creating advanced compiler techniques for ML workloads - System Robustness: Building tools for accuracy and reliability validation - Efficient Kernel Development: Designing high-performance kernels optimized for our ML accelerator architectures A day in the life AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. About the team AWS Neuron is the software of Trainium and Inferentia, the

Medical Science Liaison (Germline Oncology - Dallas/Fort Worth, East TX, LA, AR, MS) Dallas, TX, United States Medical Science Liaison (MSL) - Oncology, Germline Geography: Texas East Territory (Dallas/Fort Worth, East TX, LA, AR, MS) Description : Myriad Genetics is seeking a Medical Science Liaison (MSL) to support our oncology portfolio with a primary focus on hereditary cancer (germline) testing across the cancer center settings, including medical oncology, gynecologic oncology, surgical oncology, and cancer genetics clinics. This is a field-based scientific and clinical expert role within Medical Affairs. The MSL serves as a trusted scientific partner to healthcare professionals and key opinion leaders (KOLs), facilitating high quality scientific exchange and bringing actionable insights back to the organization. The MSL will demonstrate strong clinical expertise, scientific acumen, and business awareness while collaborating cross-functionally with Medical Affairs, Commercial Sales and Marketing, Product, and Training teams. This role reports to the Germline Oncology MSL Manager within Medical Affairs. Key Responsibilities: Scientific and Clinical Expertise: Maintain deep expertise in Myriad's oncology germline testing portfolio and relevant areas of oncology, genetics, and genomics. Stay current on emerging data, guidelines, clinical practice trends, and the competitive landscape impacting hereditary cancer testing. Represent Myriad at scientific congresses, advisory boards, and educational forums to gather insights and support Medical Affairs objectives. Actively contribute to the Myriad Medical Affairs community through best practice sharing and collaboration. External Engagement and Education: Serve as a scientific and clinical resource to healthcare professionals by responding to medical inquiries, explaining test results, and

Executive Director, Site Head, Amgen Genome Valley (AGV) India - Hyderabad posted: Posted 30+ Days Ago

CDnA - Commercial Analytics Sr Manager, Obesity US - California - Thousand Oaks posted: Posted 30+ Days Ago

Product Mgr IV Technology United States The Product Mgr IV Technology role will help lead the expansion and adoption of our genetic tests. This role will drive innovative initiatives, and the ideal candidate will have a track record of building strong relationships with partners and customers, and who has demonstrated success influencing large cross-functional teams. Responsibility Drive prioritization efforts for their product area and champion product area throughout organization. Partner with PMO, clinical genomics, Lab Directors, clinical reporting, and business stakeholders to write crisp and clear product requirements that drive technical specifications and user experience and interface designs. Write crisp and clear product requirements that drive technical specifications and user experience and interface designs. Champion products throughout the organization and present updates to senior management. Define and analyze metrics that inform the success of products. Continually validate products with internal and external customer feedback and against business metrics. Qualifications Minimum of 5 years of Product Management experience with proven success shipping multiple technology products across releases. MS or Bachelor's degree with equivalent years of experience in a relevant field. Knowledge of Genomics, variant annotation and curation, and clinical reporting process. Experience or formal education in relevant Genomics field is preferred Knowledge of the healthcare space or genetics laboratory is preferred Strong leadership skills and proven ability to lead cross-functional teams. Track record of understanding stakeholder needs and delivering technology solutions to address those needs. Demonstrated ability to leverage AI tools and techniques to enhance day-to-day product management activities Proficient in

CDNA_Sr Manager – Investment and Media Analytics TA Lead India - Hyderabad posted: Posted 30+ Days Ago

Sales Executive - Hereditary Cancer Screening - Dayton, OH Dayton, OH, United States Myriad Genetics is seeking top-tier sales talent who are passionate about improving patients' lives through genetic and genomic testing and precision medicine. As a Hereditary Cancer Screening Sales Executive , you will drive adoption of MyRisk, securing new MyRisk business while supporting existing accounts in a high-impact territory. This is more than just a sales role-it's an opportunity to be at the forefront of innovation in hereditary cancer screening and drive previvorship. You will practice a consultative approach, educating healthcare providers on the clinical utility of our hereditary cancer screen and insights, how to integrate them into patient care pathways, and leverage insights for better informed healthcare decisions. At Myriad, our culture is defined by putting patients and people first-and we're looking for someone who shares that commitment. Note: This is a field-based sales position. Candidates must reside within the territory and be able to travel locally daily to meet with healthcare providers and stakeholders. Regular in-person engagement is essential to the success of this role. Responsibilities Sales Execution Manage full lifecycle of the product sales process, including new business development and lead-generation via programs and other initiatives Apply a consultative approach to identify customer needs, present solutions, and close business Account Development Build and maintain strong relationships with key OB/GYN, Primary Care, Internal Medicine and other clinicians, including community practices, academic centers, and integrated delivery networks Identify, develop, and manage commercial relationships with key opinion leaders

Applied Scientist, Personalization, Personalization Haifa, Haifa, ISR We are seeking an Applied Scientist to help build Amazon's next-generation customer memory and personalization systems. Are you interested in building systems that move beyond reacting to customer behavior, to actually understanding and remembering it over time? Our team is building Amazon's customer memory layer - a system that extracts, curates, and reasons over customer knowledge to power next-generation personalization. This includes transforming noisy, unstructured signals into durable, high-quality representations of customer preferences, intents, and life events, and using them in real time to improve customer experiences. We are part of Amazon's Personalization organization, a high-performing group that leverages large-scale machine learning, generative AI, and distributed systems to deliver highly relevant customer experiences. We tackle challenging problems at the intersection of information extraction, knowledge representation, LLM reasoning, and recommendation systems. Our systems operate under real-world constraints of scale, latency, and quality, requiring careful tradeoffs between precision, recall, and responsiveness. This team plays a central role in defining how Amazon understands its customers, and how that understanding is applied across the shopping experience. As an Applied Scientist, you will design and build ML and LLM-powered solutions for Amazon's customer memory and personalization systems. You will work on how customer knowledge is extracted, validated, and applied in production systems. You will own the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale. You will deliver high-quality, scalable systems that power customer-facing experiences. You will

Senior Applied Scientist, Annapurna ML Seattle, Washington, USA The Annapurna ML team is looking for a Senior Applied Scientist to work on the intersection of Artificial Intelligence and program analysis to raise the code quality bar in our state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, Inferentia and Trainium, which represent the forefront of Annapurna innovation for advanced ML capabilities, and is the underpinning of Generative AI. As a Senior Applied Scientist, you'll be instrumental in designing, developing, and deploying analyzers for ML compiler stages and compiler IRs. You will architect and implement business-critical tooling, publish research, and mentor a brilliant team of experienced scientists and engineers. You will need to be technically capable, credible, and curious in your own right as a trusted scientist, innovating on behalf of our customers. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software. Strong experience in programming languages, compilers, program analyzers, and program synthesis engines will be a benefit in this role. A background in machine learning and AI accelerators is preferred but not required. A day in the life Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job

Machine Learning Engineer, AWS Neuron Inference, Annapurna ML Seattle, Washington, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn2 and future Trn3 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role develops, enables and performance tunes building blocks for all key ML model families, including Llama3, GPT OSS, Qwen3, DeepSeek and beyond. The Neuron Inference Technology team works side by side with the Inference Model Enablement, compiler runtime engineers to create, build and tune high-performance distributed inference solutions for the latest generation Trainium accelerators. Experience optimizing LLM inference performance with kernels, Python, PyTorch or JAX is a must. Key job responsibilities This team develops optimized building blocks for the Neuron distributed inference library, tuning them to ensure highest performance and maximize efficiency running on Trn2 and Trn3 servers. A day in the life As you develop technology components, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally with teams across Neufon in a fast-paced startup-like development environment, where we constantly stay on top of the latest priorities as the AI landscape evolves. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an

Sr. Technical Account Manager , AWS Enterprise Support, Strategic Industries, Healthcare & Life Sciences, ES - SI - HCLS Dublin, IRL Are you passionate about helping healthcare and life sciences organizations harness the power of cloud and Generative AI to accelerate drug discovery, transform clinical operations, and improve patient outcomes? AWS Enterprise Support is looking for a Senior Technical Account Manager (TAM) to join our Strategic Industries team, specifically supporting some of the world's most innovative Healthcare & Life Sciences (HCLS) customers. As a Senior TAM, you'll be the technical advisor and strategic voice of the customer for organizations navigating complex, regulated environments, from pharmaceutical companies running genomics pipelines and clinical trials to healthcare providers modernizing electronic health records and medical imaging platforms. You'll operate at the intersection of deep technical expertise and business strategy, working with minimal guidance to anticipate customer needs, influence architectural decisions across business units, and drive long term outcomes for mission critical workloads, including AI and Generative AI initiatives. - Serve as a trusted advisor to C suite and senior technical leaders at major HCLS enterprises - Craft and execute strategic support plans aligned to customer business outcomes, from cloud migrations and SAP transformations to HPC/GPU research workloads, manufacturing modernization, and AI/Gen AI adoption - Navigate multi program, multi cloud environments where compliance (HIPAA, GxP, GDPR), data sovereignty, and operational resilience are non negotiable - Help customers design, deploy, and optimize AI and Generative AI workloads using services such as Amazon Bedrock, SageMaker, HealthLake, and

CDNA_Sr Manager – Media Data Ops India - Hyderabad posted: Posted 30+ Days Ago

Applied Science Manager, AWS Generative AI Innovation Center Lisbon, PRT Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organization (https://press.aboutamazon.com/2023/6/aws-announces- generative-ai-innovation-center). GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As an Applied Science Manager in GenAIIC, you'll partner with technology and business teams to build new generative AI solutions that delight our customers. You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customer's business and mission problems. The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical “face” of AWS within our solution providers' ecosystem/environment as well as directly to end customers. The candidate must ne be able to drive discussions with senior technical and management personnel within customers and partners while hacing technical background that enables them to interact with and give guidance to AI scientists/engineers and software developers. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical issues. Of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent. Key job responsibilities You will work directly with

Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning Austin, Texas, USA Annapurna Labs (our organization within AWS Utility Computing) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, Trainium Systems (our custom designed machine learning inference and training datacenter servers). Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. We're looking for an ASIC Physical Design Methodology Engineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. Key job responsibilities Define, develop and deploy innovative physical design and verification methodologies (RTL2GDS) for ML Accelerator chips in advanced nodes Drive Optimizations in CAD flows/methodologies for PPA and TAT improvements

CDNA_Manager – Media Data/Operations India - Hyderabad posted: Posted 30+ Days Ago

Software Development Manager, ML Accelerators, AWS Neuron, Annapurna Labs Seattle, Washington, USA AWS Machine Learning accelerators are at the forefront of AWS innovation. The Trainium chip delivers industry-leading ML inference and training performance at the lowest cost in the cloud. This is enabled by edge software stack, the AWS Neuron Software Development Kit, which includes a Machine Learning compiler. The SDK natively integrates into popular ML frameworks, such as PyTorch, JAX and TensorFlow. AWS Neuron is widely adopted by many internal and external customers and partners. Amazon Annapurna Labs drives innovation in silicon and software for AWS, blending cloud-scale impact with world-class engineering talent. Our multidisciplinary team spans silicon design, hardware verification, software, and operations. We operate in large, complex domains with small, agile teams, fostering continuous learning and rapid innovation. With no set blueprint, we thrive on experimentation and offer a uniquely dynamic and enriching environment across a wide range of AWS products and services. Learn more about our history: https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success We are seeking an exceptional Software Engineering Manager to lead portion of our Deep-Learning Backend Compiler team at AWS Neuron. You will manage a team of talented compiler engineers focused on machine learning compiler design and development. In this role, you will drive the design and implementation of ML compiler solutions, develop advanced optimization techniques, lead hardware bring-up for next-generation chips, and influence pre-silicon design decisions while mentoring your team. This position offers the opportunity to directly impact AWS's machine learning infrastructure and accelerate the delivery of innovative