Join Prima Mente as a Bioinformatics EngineerAt Prima Mente, we are pioneers in the field of biology and artificial intelligence. Our mission is to generate novel data, create versatile biological foundation models, and turn groundbreaking discoveries into impactful research and clinical applications. Our primary focus is on understanding the human brain—protecting it from neurological diseases while enhancing its capabilities for better health. With teams located in London, San Francisco, and Dubai, we are committed to pushing the boundaries of AI and biology.Role Overview - Multi-omicsAs a Bioinformatics Engineer, you will play a crucial role in formulating and testing significant biological hypotheses aimed at discovering markers and targets related to neurological disorders.Key Responsibilities:Develop multi-omic bioinformatics pipelines.Conduct feature engineering and prepare datasets for downstream machine learning, foundational AI training, and applications.Analyze in-house wet lab experiments to create proprietary methods and data for our models.Growth ExpectationsWithin 1 month: You will manage your analyses and experiments using our cloud computing environment, developing workflows to process your data efficiently.Within 3 months: You will independently own and optimize an analysis or data processing pipeline, producing results suitable for patenting and publication.Within 6 months: You will have integrated your research findings into our AI models.Who You AreYou are eager to redefine the possibilities at the intersection of AI and biology. You possess experience in deriving insights from multi-omic and multi-modal data, contributing to top-tier publications.We understand that not every candidate will meet all the criteria. Ideal applicants will have strengths in some areas and a desire to develop in others.Ideal Qualifications:Experience generating insights from biological datasets (including genomics, epigenetics, transcriptomics, proteomics, and ATAC-Seq).Strong software engineering skills, with the ability to produce high-quality code that supports our software infrastructure.Familiarity with data wrangling, engineering, analysis, and visualization libraries in Python or Julia, as well as frameworks like Spark, Hadoop, and NoSQL.

Join the Prima Mente TeamAt Prima Mente, we are at the forefront of biology and artificial intelligence. Our innovative lab is dedicated to generating unique data, creating versatile biological foundation models, and translating groundbreaking discoveries into both research and clinical applications. Our primary focus is on unraveling the complexities of the brain to enhance its health, safeguard it against neurological disorders, and foster cognitive enhancement. Our diverse team of AI researchers, experimentalists, clinicians, and operations experts spans across London, San Francisco, and Dubai.Position Overview - Multi-omicsIn this role, you will be instrumental in formulating and questioning significant biological hypotheses aimed at discovering biomarkers and targets pertinent to neurological diseases.Key Responsibilities:Conduct feature engineering and prepare datasets for machine learning applications and foundational AI model training.Analyze in-house wet lab experiments to develop proprietary methods and generate data for our models.Build and optimize multi-omic bioinformatics pipelines.Establish and manage collaborative research initiatives with academic and industry partners focused on Alzheimer's disease biology.Growth ExpectationsWithin 1 month: You will independently manage your own analyses and experiments using our cloud computing environment, creating bespoke workflows to efficiently process data.Within 3 months: Your research will be seamlessly integrated into our AI models.Within 6 months: Your pipelines will be running in automated production, contributing to daily AI model training. You will collaborate closely with AI/ML engineers and lab scientists, leading the technical aspects of external partnerships.Who You AreYou aspire to push the boundaries of what is achievable at the intersection of AI and biology. You possess experience in deriving novel biological insights from multi-omic, multi-modal datasets, along with a track record of top-tier publications and/or patents.We understand that not every candidate will meet every qualification. We encourage strong applicants to apply, even if they specialize in certain areas and wish to expand their expertise in others.Preferred Qualifications:Practical experience in generating insights from biological datasets (genomics, epigenetics, transcriptomics, proteomics, ATAC-Seq).Proficient software engineering skills, including the ability to write high-quality code for operational purposes.

Join Prima Mente: A Leader in Biology AIAt Prima Mente, we are redefining the frontier of biology through artificial intelligence. Our mission is to generate unique datasets, develop versatile biological foundation models, and translate groundbreaking discoveries into impactful research and clinical outcomes. With a commitment to understanding the complexities of the brain, we aim to shield it from neurological diseases while enhancing overall health. Our diverse team of AI researchers, experimentalists, clinicians, and operational experts operates across London, San Francisco, and Dubai.Role Overview: GPU/CPU-Accelerated BioinformaticsWe are seeking a skilled Bioinformatics Software Engineer to architect and implement scalable production pipelines for processing multi-omics data. The successful candidate will enable rapid transitions from hypothesis to patent-ready solutions in a matter of months.Key Responsibilities:Design and implement bioinformatics pipelines optimized for GPU/CPU utilization utilizing tools like Flyte and Nextflow, capable of processing over 1,000 samples at scale.Optimize performance and cost efficiency by leveraging GPU/CPU acceleration where it provides the greatest benefit.Collaborate with experimental and machine learning teams to validate computational results and align processing with model requirements.Foster and manage collaborations with academic and industrial research partners.Growth Expectations1 Month: You will be deploying your workflows on GPU/CPU-accelerated cloud infrastructure to process multi-omic experiments, while building relationships with AI/ML and wet lab teams to understand their requirements.3 Months: Your optimized pipelines will be processing thousands of samples with substantial speed enhancements and reduced costs, yielding publication and patent-ready outcomes.6 Months: Your automated pipelines will support daily AI model training, and you will co-design experiments alongside AI/ML engineers, leading technical execution on external collaborations.Your ProfileYou are passionate about pushing the boundaries of AI and biology. As an engineer rather than an analyst, you thrive on enhancing performance and efficiency while architecting robust systems. You are comfortable making rapid technical decisions and iterate quickly.Desired QualificationsExperience in bioinformatics, computational biology, or a related field.Proficiency in software engineering, particularly in developing scalable data processing pipelines.Strong understanding of multi-omics data and methods.Familiarity with GPU/CPU acceleration techniques.Excellent communication and collaboration skills.

Bioinformatics Engineer - Spatial AIJoin LatchBio, where our innovative AI agents empower over 4,000 scientists to effectively analyze and interpret complex data generated from cutting-edge spatial and multi-omic tools within the biotech industry.We are on the lookout for proficient bioinformatics engineers with a robust background in both computational and experimental aspects of spatial biology. Your role will be pivotal in shaping the future of agentic analysis tools.Your ResponsibilitiesLead comprehensive spatial transcriptomics analyses for various projects, from processing raw platform outputs to quality control, cell segmentation, cell typing, differential expression/enrichment, and spatial inference, ultimately substantiating biological claims.Develop reproducible workflows that provide transparent decision traces detailing filters applied, rationale behind them, and factors that could alter conclusions.Engage in advanced spatial reasoning techniques beyond standard clustering, focusing on neighborhood and adjacency enrichment, spatial gradients, spatial differential expression, and analyses that account for spatial autocorrelation.Tackle platform and data challenges with accuracy, transforming ambiguous results into clear hypotheses, conducting sanity checks, and creating systematic debugging plans.Essential QualificationsProven experience in end-to-end data analysis using one or more spatial technologies such as Seeker, Trekker (Slide-seq), MERFISH, DBiT-seq, Xenium, Visium, Stereo-seq, GeoMx, CosMx, or equivalent assays.Experience analyzing 3 or more datasets from raw data to actionable insights for publications or industry-related experiments.Strong understanding of kit-specific quality control thresholds and the ability to discern meaningful numerical outcomes.Familiarity with computational biology tools tailored for spatial tasks, such as cell segmentation, cell typing, and ligand-receptor interaction analysis.Preferred QualificationsPublished work utilizing contemporary spatial biology methodologies.Experience in developing tools or software packages for spatial biology applications.Background in generating training data for AI agents or foundational models.Who You AreYou are a scientifically adept engineer who seamlessly integrates experimentation with computational analysis. You embrace the possibility of being incorrect, adapt your views based on evidence, and document your decisions to enable reproducibility and constructive critique. Your communication skills are exceptional, and you are committed to maintaining the integrity of your work.

Join Mithrl as a Lead Bioinformatics EngineerAt Mithrl, we envision a future where groundbreaking medicines are swiftly delivered to patients, transforming the landscape of health care.Mithrl is pioneering the world's first commercially available AI Co-Scientist, a revolutionary discovery engine that converts complex biological data into actionable insights in mere minutes. By simply asking questions in natural language, scientists receive immediate responses with comprehensive analyses, innovative targets, hypotheses, and patent-ready reports.Our impressive growth trajectory includes:12X year-over-year revenue growthTrusted by top-tier biotech firms and major pharmaceutical companies across three continentsFacilitating real breakthroughs from target discovery to patient outcomes.About the RoleWe are in search of an innovative Lead Bioinformatics Pipeline Engineer to architect and expand Mithrl’s multimodal scientific processing pipelines. You will be responsible for developing workflows that convert raw biological data into clean, reproducible outputs that fuel Mithrl’s AI Co-Scientist. Your work will encompass a range of modalities including microarray, imaging, spatial transcriptomics, genomics, epigenomics, flow cytometry, and more.This pivotal role lies at the core of our technical infrastructure. You will design Nextflow and nf-core style pipelines, implement modality-specific validation and quality control layers, and collaborate closely with our Tabular Data Team and Knowledge Curation Team to ensure seamless data harmonization, variable ID mapping, and schema alignment. Your contributions will enable scientists to pose inquiries and receive accurate, data-driven answers instantaneously.If you are passionate about constructing robust scientific workflows and tackling high-impact challenges, you will find your place here.

Senior Bioinformatics EngineerJoin LatchBio, where we are pioneering AI agents that empower over 4,000 scientists in analyzing and interpreting data from cutting-edge spatial and multi-omic tools in the biotechnology sector.We are looking for a highly skilled Senior Bioinformatics Engineer with a robust computational background—ideally, your expertise lies in computer science, mathematics, or statistics, complemented by a strong grasp of biological concepts. In this pivotal role, you will not only perform complex analyses but also establish quality benchmarks for your peers: reviewing analytical processes, identifying errors, and ensuring that all outputs are scientifically sound and defensible.Your ResponsibilitiesLead comprehensive biological data analyses across various projects, guiding data from raw platform outputs through QC, dimensionality reduction, cell typing, and differential expression to robust biological claims.Oversee and evaluate the work of fellow bioinformatics engineers, ensuring analytical integrity and that all documentation meets gold-standard quality.Develop reproducible workflows and maintain clear decision logs detailing filtering processes and rationale, changes in conclusions, and criteria for falsifying claims.Design and implement computational tools or packages that enhance analysis efficiency within the team.Essential QualificationsA solid understanding of algorithms for high-dimensional data analysis (e.g., PCA, UMAP, neighborhood graphs, spectral methods) and the ability to discern their appropriate applications.Proficient in statistical inference concepts: hypothesis testing, confidence intervals, estimators, and corrections for multiple testing.Demonstrated experience in publishing or deploying computational tools or packages utilized by external users (open-source libraries, internal platforms, or production pipelines).Successfully analyzed 3 or more datasets from raw data to actionable insights, suitable for publications or impactful industry experiments.Knowledge of the landscape of computational biology tools for prevalent analysis tasks (e.g., clustering, cell typing, differential expression, enrichment).Preferred ExperienceExperience with comprehensive spatial transcriptomics analysis for technologies such as Seeker, Trekker (Slide-seq), MERFISH, DBiT-seq, Xenium, Visium, Stereo-seq, GeoMx, CosMx, or similar assays.Advanced spatial reasoning skills beyond standard clustering, including neighborhood and adjacency enrichment, spatial gradients and niches, spatial differential expression, and spatial autocorrelation.

Role Overview LatchBio is hiring a Bioinformatics Engineer focused on Single-Cell AI in San Francisco. This role centers on applying artificial intelligence to single-cell genomics data, with the goal of advancing personalized medicine. What You Will Do Analyze single-cell genomics datasets using AI methods Work with teams from different scientific backgrounds to build bioinformatics solutions Help uncover new insights into complex biological systems

Join Veracyte, a leader in transforming cancer care through innovative diagnostics that empower patients and clinicians alike. At Veracyte, we provide an inspiring work environment where you can make a significant impact on patients' lives while advancing your career. Our culture, known as the Veracyte way, emphasizes collaboration, resilience, and a commitment to excellence.Our Core Values:We Seek A Better Way: We boldly innovate and learn from challenges to improve cancer care.We Make It Happen: We prioritize urgency, quality, and enjoyment in our work.We Are Stronger Together: We foster open collaboration and celebrate our collective successes.We Care Deeply: We honor our diverse backgrounds and support each other in doing what is right.The Role:We are on the lookout for an enthusiastic Bioinformatics Research Scientist to join our Translational Bioinformatics group within the Bioinformatics and Data Science Team. This pivotal role involves leveraging computational and statistical techniques on extensive transcriptomic and genomic datasets, particularly focusing on prostate cancer biology and its clinical implications. The ideal candidate will play a key role in identifying clinically relevant molecular signatures that enhance disease stratification, prognosis, and the development of diagnostics, while effectively communicating findings to both scientific and clinical audiences. This position offers a unique opportunity to bridge the realms of data science, biology, and clinical research through close collaboration with scientists, clinicians, and cross-functional teams to convert complex data into actionable insights.

Join Syska Hennessy Group and witness your contributions shape iconic projects globally! As a premier provider of consulting, engineering, and commissioning services, we excel in MEP, information and communication technology, architectural lighting, vertical transportation, and commissioning. We are excited to announce an entry-level opportunity for an Electrical Engineering Graduate. Our vibrant work culture fosters professional growth, offering a supportive environment, a diverse team, competitive pay, and a flexible schedule—Monday to Thursday in the office for 9 hours and Friday for 4 hours working remotely. Enjoy engaging social events and a fulfilling career with us! Key Responsibilities: Assist in developing basic designs under the supervision of senior engineers and designers. Familiarize yourself with drawing organization and company standards. Engage in CAD/BIM drafting for a range of projects to gain insight into architectural engineering design and documentation. Collaborate with other trades (architectural, engineering/internal, and external) under the guidance of experienced technical staff. Support design and engineering initiatives for new installations, retrofits, replacements, and upgrades across diverse project types. Ensure the completeness, accuracy, and timeliness of all assignments. Accompany engineers on field investigations and construction site visits while participating in project coordination meetings. Participate in the Engineering Development Training (EDT) program and related activities. Attend continuing education seminars to enhance both technical and professional skills.

We are seeking a motivated and detail-oriented Hardware Systems Engineer I to join our innovative team at Crusoe. In this role, you will contribute to the design, implementation, and optimization of advanced hardware systems. You will work closely with cross-functional teams to ensure the successful integration of hardware solutions into our growing infrastructure.

Join our dynamic team at KPFF Consulting Engineers as an Entry-Level Structural Engineer! This is an exciting opportunity for recent graduates or those looking to start their career in structural engineering. You will be involved in a variety of projects, gaining hands-on experience and working alongside seasoned professionals in a collaborative environment.

Join AG Technologies as an Entry Level Software Engineer in the vibrant city of San Francisco! We are seeking enthusiastic individuals with a passion for technology and problem-solving. The ideal candidate will have foundational skills in C++, SQL, and Oracle. You will have the opportunity to work on exciting projects and grow your expertise in a collaborative environment.

Role OverviewAt Focal, we specialize in creating innovative robotic radiant heating systems designed specifically for outdoor dining environments. Our cutting-edge products integrate precision engineering, advanced electronics, and smart sensing technology to deliver efficient warmth while significantly reducing energy consumption compared to conventional heating solutions.We are seeking a Field Deployment Technician who will be responsible for the installation and on-site maintenance of our robotic heating systems.This hands-on position emphasizes installation excellence, system configuration, and dependable field service. You will collaborate closely with our engineering and operations teams to guarantee that all deployments are executed with precision, consistency, and timeliness.As the final link between our product and its real-world application, your attention to installation quality will be paramount.

About Our TeamJoin our innovative Robotics team at OpenAI, where we are dedicated to pioneering general-purpose robotics and advancing towards AGI-level intelligence within dynamic, real-world environments. Our collaborative efforts span the entire model stack as we integrate state-of-the-art hardware and software to explore a diverse array of robotic form factors. We aim to harmonize high-level AI capabilities with the constraints of physical systems to enhance the quality of life for people worldwide.About the RoleAs a Research Engineer specializing in SLAM and Multi-View Geometry, you will be instrumental in developing systems that empower robots to perceive, track, and reconstruct their environment in 3D using multi-camera and multimodal sensor data. Your work will focus on creating real-time and offline SLAM pipelines for teleoperation and data collection while also building scalable systems for 3D structure reconstruction from extensive datasets.We seek individuals who possess a strong foundation in computer vision and hands-on experience in constructing robust perception systems. The ideal candidate is adept in both classical geometry-based techniques and contemporary machine learning methods, thriving in close collaboration with AI researchers and engineers.This position is based in San Francisco, CA, utilizing a hybrid work model of 4 days in the office each week, and we provide relocation assistance for new hires.Key Responsibilities:Develop and implement online SLAM systems for robotic data collection utilizing multi-camera sensor arrays and teleoperation platforms.Create systems for large-scale 3D reconstruction and point tracking across extensive datasets, facilitating innovative approaches to world modeling and perception.Collaborate with research and engineering teams to enhance multi-view geometry pipelines for large datasets.Elevate the accuracy, robustness, and scalability of perception systems utilized in robotics data collection and training pipelines.Engage in cross-disciplinary collaboration with robotics, perception, and ML teams to integrate geometry-based methods with learned models.

Join AG Technologies as an Entry Level Software Engineer! In this exciting role, you will be working with advanced technologies including C++, SQL, and Oracle to develop innovative software solutions. This is a fantastic opportunity for recent graduates or individuals looking to start their careers in software engineering. We value creativity and problem-solving skills and are looking for candidates eager to grow and make an impact.

Join AG Technologies as an Entry Level Software Engineer and kick-start your career in software development. We are looking for enthusiastic individuals with a passion for technology who are eager to learn and grow within a dynamic team. Key skills required include proficiency in C++, SQL, and Oracle. As part of our innovative environment, you will have the opportunity to work on exciting projects and collaborate with experienced professionals.

Join our dynamic team as an Entry Level Software Engineer! We are seeking passionate individuals who are eager to learn and grow in the software development field. In this role, you will have the opportunity to work with cutting-edge technologies, including C++ and SQL, while collaborating with experienced engineers to develop innovative solutions for our clients.

Join ASM – Where Innovation Meets Collaboration!With over 55 years of pioneering technology, ASM stands at the forefront of innovation, shaping the future of advanced semiconductor devices. Our diverse team of more than 4,500 professionals from 70 nationalities drives advancements in key trends such as 5G, cloud computing, AI, and autonomous driving. We pride ourselves on our commitment to diversity, inclusion, and sustainability, striving to make a positive impact on the world. Our comprehensive development programs are designed to foster your growth, enabling you to push the boundaries of innovation. Position: Senior Principal Engineer, Systems (Plasma & Multi-Scale Simulation Scientist)The Simulation and Modeling Hub is looking for a Senior Plasma & Multi-Scale Simulation Scientist to enhance our plasma modeling capabilities. This pivotal role involves integrating plasma physics, surface chemistry, and feature-scale behavior to develop predictive, physics-based simulation workflows that support advanced semiconductor processes including PEALD, PECVD, ALE, and RIE.

Join Our Team at GridwareAs a Senior Machine Learning Engineer specializing in Multi-Sensor Modeling, you will be at the forefront of developing innovative solutions that enhance the reliability and safety of the electrical grid. Our groundbreaking Active Grid Response (AGR) platform leverages cutting-edge technology to monitor various aspects of the grid, enabling proactive maintenance and fault mitigation. Your expertise will play a pivotal role in advancing our mission to protect the grid and ensure efficient operations. Are you ready to make a significant impact?

At Genmo, we are pioneers in developing cutting-edge models for video generation, aiming to unlock the full potential of Artificial General Intelligence (AGI). Join our innovative team and play a vital role in redefining the landscape of AI technology.About the RoleWe are on the lookout for a talented Research Engineer to enhance our research team dedicated to advancing visual generative AI. In this role, you will collaborate with experienced professionals to refine and deploy generative models safely and effectively.What You'll DoDevelop novel machine learning techniques tailored for visual generative modeling.Experiment with diverse generative architectures including Diffusion Models, GANs, and Transformers.Optimize model performance and scalability.Ensure safe and robust deployment of models.Work collaboratively with cross-functional teams to integrate research advancements.Engage in research discussions and contribute to technical documentation.Required QualificationsBachelor's or Master's degree in Computer Science, Machine Learning, or a related field (recent graduates encouraged to apply).A minimum of 2 years’ experience in Machine Learning.Strong understanding of machine learning principles, particularly in generative models.Proficient programming skills in Python, along with frameworks like PyTorch or TensorFlow.Experience with deep learning frameworks and model training techniques.Familiarity with core concepts in computer vision and generative AI.Hands-on project experience (academic or personal) with generative models.Excellent communication skills and a collaborative spirit to thrive in a research team environment.Preferred QualificationsResearch projects or thesis work in the field of generative AI.Experience with various generative models such as:Diffusion ModelsGANsTransformer architecturesLarge Language Models