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 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 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.

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 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?

Join Amazing Athletes, the largest multi-sport enrichment program in the United States, as a Children's Multi-Sports Coach! We are dedicated to fostering positive movement experiences for children aged 1-6, helping them achieve their motor development milestones. In this role, you will teach the fundamentals of ten different sports in a fun, non-competitive environment, while incorporating valuable lessons on nutrition and muscle groups to promote motor skills and physical literacy. You will have the opportunity to lead classes, camps, private groups, school enrichment, and birthday parties, creating joyful and engaging experiences for our young athletes.

Role Overview Equinox Holdings, Inc. seeks a Multi-Unit Retail Manager to oversee several retail locations in San Francisco. This position plays a central role in maintaining high standards across each site, focusing on customer service and smooth daily operations. The Multi-Unit Retail Manager guides teams to deliver strong member experiences and supports sales growth throughout the region. What You Will Do Direct the daily operations of multiple retail locations in San Francisco. Lead, train, and develop staff to build a high-performing team. Apply sales strategies to meet or exceed set targets. Monitor compliance with company policies and procedures at all sites.

Role overview Axiom Bio is looking for a Platform Engineer to join the team at the San Francisco Global HQ. The focus is on building and supporting scalable platforms that enable bioinformatics research. What you will do Collaborate with colleagues from a range of disciplines to design, implement, and maintain platforms for scientific teams Create systems that streamline research workflows and improve efficiency Support projects aimed at advancing bioinformatics capabilities Location This role is based on site at Axiom Bio's San Francisco Global HQ.

ABOUT MITHRLAt Mithrl, we envision a future where innovative medicines are delivered to patients in mere months instead of years, and where scientific advancements occur at the speed of thought.We are pioneering the world's first commercially available AI Co-Scientist, a transformative discovery engine that rapidly converts complex biological data into actionable insights. Scientists can pose inquiries in natural language, and Mithrl provides comprehensive analyses, novel target suggestions, hypotheses, and patent-ready documentation.Our impressive growth reflects our success:Achieved 12X year-over-year revenue growthTrusted by leading biotech companies and major pharmaceutical firms across three continentsFacilitating significant breakthroughs from target discovery to patient outcomes.ROLE OVERVIEWWe are searching for a QA Engineer specializing in Scientific Software to develop the testing, validation, and monitoring infrastructure that ensures the accuracy and reliability of the Mithrl AI Co-Scientist. This position necessitates a PhD-level scientist or computational biologist who comprehends the intricacies of the drug development lifecycle and possesses practical experience with omics data. A solid scientific foundation is crucial for assessing the biological relevance of Mithrl's outputs.In this role, you will implement automated testing for analysis workflows, data ingestion pipelines, and discovery applications. You will establish CI systems for early regression detection, set up monitoring and alerting for system performance, and ensure every module in Mithrl generates scientifically valid and reproducible outputs. This position is a vital link between scientific knowledge and software quality engineering, essential for maintaining trust in Mithrl's analytical capabilities.If you are a scientist passionate about product reliability, reproducibility, and the validation of machine learning-powered scientific tools, this role offers a uniquely impactful opportunity.KEY RESPONSIBILITIESDevelop automated testing frameworks for data ingestion, analysis modules, discovery applications, and new product features.Create scientific validation frameworks to ensure correctness and reproducibility of machine learning-driven biological analyses.Implement continuous integration workflows that conduct end-to-end tests with every commit, identifying scientific and computational regressions.Establish monitoring and alerting systems to track health, performance, and reliability metrics.

About Our TeamJoin OpenAI’s dynamic Inference team, where we empower the deployment of cutting-edge AI models, including our renowned GPT models, advanced Image Generation capabilities, and Whisper, across diverse platforms. Our mission is to ensure these models are not only high-performing and scalable but also available for real-world applications. Collaborating closely with our Research team, we’re committed to bringing the next generation of AI innovations to fruition. As a compact, agile team, we prioritize delivering an exceptional developer experience while continuously pushing the frontiers of artificial intelligence.As we expand our focus into multimodal inference, we are building the necessary infrastructure to support models that process images, audio, and other non-text modalities. This work involves tackling diverse model sizes and interactions, managing complex input/output formats, and ensuring seamless collaboration between product and research teams.About The RoleWe are seeking a passionate Software Engineer to aid in the large-scale deployment of OpenAI’s multimodal models. You will join a small yet impactful team dedicated to creating robust, high-performance infrastructure for real-time audio, image, and various multimodal workloads in production environments.This position is inherently collaborative; you will work directly with researchers who develop these models and with product teams to define novel interaction modalities. Your contributions will enable users to generate speech, interpret images, and engage with models in innovative ways that extend beyond traditional text-based interactions.Key Responsibilities:Design and implement advanced inference infrastructure for large-scale multimodal models.Optimize systems for high-throughput and low-latency processing of image and audio inputs and outputs.Facilitate the transition of experimental research workflows into dependable production services.Engage closely with researchers, infrastructure teams, and product engineers to deploy state-of-the-art capabilities.Contribute to systemic enhancements, including GPU utilization, tensor parallelism, and hardware abstraction layers.You May Excel In This Role If You:Have a proven track record of building and scaling inference systems for large language models or multimodal architectures.Possess experience with GPU-based machine learning workloads and a solid understanding of the performance dynamics associated with large models, particularly with intricate data types like images or audio.Thrive in a fast-paced, experimental environment and enjoy collaborating with cross-functional teams to drive impactful results.

About Liquid AILiquid AI, a pioneering company spun out of MIT CSAIL, is at the forefront of developing general-purpose AI systems that operate efficiently across various platforms, from data center accelerators to on-device hardware. Our commitment to low latency, minimal memory usage, privacy, and reliability allows us to partner with some of the most esteemed enterprises in consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we are seeking exceptional talent to join our innovative journey.The OpportunityJoin our cutting-edge Audio team, where we are developing advanced speech-language models capable of handling Speech-to-Text (STT), Text-to-Speech (TTS), and speech-to-speech tasks within a unified architecture. This pivotal role supports applied audio model development, directly collaborating with the technical lead to deliver production systems that operate on-device under real-time constraints. You will take ownership of key workstreams encompassing data pipelines, evaluation systems, and customer deployments. If you are eager to tackle unique technical challenges within a small, elite team where your contributions are impactful, this is the role for you.What We're Looking ForWe are seeking an individual who:Builds first, theorizes later: You prioritize shipping working systems over theoretical models; production-grade code is your default.Owns outcomes end-to-end: You take full responsibility for everything from data pipelines to customer deployments and don't shy away from challenges.Thrives under constraints: On-device, low-latency, memory-constrained environments motivate you. You view constraints as opportunities for innovative design.Ramps quickly on new territory: You are comfortable closing knowledge gaps swiftly and actively seek feedback to drive results.The WorkDevelop and scale data pipelines for audio model training, including preprocessing, augmentation, and quality filtering at scale.Design, implement, and maintain evaluation systems that assess multimodal performance across both internal and public benchmarks.Fine-tune and adapt audio models to cater to customer-specific use cases, taking charge from requirement gathering through to deployment.Contribute production code to the core audio repository while collaborating closely with infrastructure and research teams.Facilitate experimentation under real hardware constraints, transitioning smoothly between customer-focused projects and core development initiatives.

Join our dynamic team at Vivodyne as a Senior Bioinformatician, where your expertise in computational biology will drive innovative solutions in the life sciences sector. You will collaborate with multidisciplinary teams to analyze complex biological data, develop algorithms, and contribute to cutting-edge research projects that have a significant impact on healthcare.

Veracyte, a leading genomic diagnostics company, is seeking an Associate Director of Computational Development to join our innovative team. This role is pivotal in driving our computational strategies and enhancing our bioinformatics capabilities. You will work remotely, contributing to exciting projects that advance our mission of improving patient outcomes through precision medicine.

Join Our Mission:Become a pivotal member of our innovative team dedicated to developing advanced AI systems for drug toxicity prediction, aiming to replace traditional lab and animal experiments.Your Ideal Qualifications:We seek individuals who not only inspire us but also challenge us to elevate our standards. We value high agency in our team members; those who recognize and act on what truly matters. We want passionate individuals engaged in unique hobbies or pursuits that showcase their depth and commitment. Your curiosity about Axiom's mission must be matched by an ambition to explore and contribute meaningfully. You should possess a strong technical foundation, with a relentless pursuit of excellence in your craft. The ideal candidate could thrive in a larger tech environment but chooses the rewarding challenge of our demanding work, seeking both the satisfaction of overcoming obstacles and the recognition that follows.About Axiom Bio and the Role:At Axiom, we are pioneering AI solutions for drug safety and toxicity assessment. Toxicity is responsible for nearly half of all drug development failures, and by addressing this issue, we aim to accelerate the process of bringing new medications to patients. A key component of our research involves understanding liver toxicity through biochemical analysis, where mass spectrometry plays an essential role. We are looking for a bioinformatician with mass spectrometry expertise who is eager to apply their skills towards eliminating animal testing and reducing clinical trial failures. Collaborate with our biology, machine learning, engineering, and lab teams to design experiments, troubleshoot assays, develop machine learning models, and transform complex biological data into actionable insights. This position is perfect for someone who thrives in a dynamic environment and seeks to make significant scientific advancements at the convergence of chemistry, AI, and human health.Key Responsibilities:Conduct comprehensive analysis of various biological mass spectrometry datasets, primarily utilizing LC-MS/MS and existing software tools.