Research internship jobs in Palo Alto, CA - 1,831 jobs

A dynamic tech startup in San Francisco is seeking a founding AI Researcher to advance their AI product capabilities. The ideal candidate will lead research in large language models and program synthesis, integrating groundbreaking insights into practical applications. With a competitive compensation package of $140-200k base salary plus substantial equity, this role offers a unique opportunity to shape the future of AI in software engineering workflows. Join a passionate team committed to innovation and diversity. #J-18808-Ljbffr

About Alljoined Alljoined aims to solve the communication bottleneck between humans and technology by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets collected on affordable hardware to decode stimuli like images, and eventually emotion, intent, train of thought and more. Targeting healthcare applications first, we will eventually create a general consumer interface for productivity, entertainment and AI applications. We are actively growing our world-class team of researchers to build the most performant and accessible interface to greatly improve the quality of individual lives as well as the well-being of society as a whole. About the Role We're seeking a talented and experienced Machine Learning Researcher to join our core R&D team. This role involves designing and implementing advanced machine learning models for EEG-based neural decoding, publishing high-impact research, and developing the core infrastructure for our brain decoding systems. You will work closely with leading experts in neural decoding and AI, pushing the boundaries of what's possible in brain computer interfaces. Key Responsibilities Research & Model Development: Develop, train, and refine state-of-the-art deep learning models for neural decoding, building on the latest advancements in ML architectures (e.g., transformers, diffusion models, etc). Explore novel approaches for modeling high-frequency timeseries EEG datasets along with a number of adjacent data modalities. Translate research insights into production-grade code that integrates seamlessly with our in-house BCI stack. Collaboration & Publication: Collaborate with a team of neuroscientists and ML engineers to create scalable, end-to-end neural decoding solutions. Publish findings at top-tier ML and AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR) and contribute to open-source communities where appropriate. Qualifications Educational Background & Experience: Bachelor's degree in Computer Science or a related domain (e.g., AI, Computational Neuroscience, Mathematics, Biomedical Engineering, etc), with 5-7 years of experience in ML research or applied ML engineering; OR Graduate degree (M.S., Ph.D.) in Computer Science or a related domain (e.g., AI, Computational Neuroscience, Biomedical Engineering) with 3+ years of experience in ML research or applied ML engineering. Candidates with a Ph.D. and/or experience in high profile ML research labs are strongly preferred. Technical Expertise: Multimodal Representation Learning (CLIP-style contrastive objectives, masked autoencoding) Generative Modeling (diffusion, transformer-decoders, latent-GANs) Temporal Sequence Modeling (state-space models, STFT-aware transformers, RWKV) A track record of high-quality research demonstrated by publications in top ML conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR). Strong proficiency in Python and PyTorch, familiarity with ML tooling, and distributed training. Experience working in a production-quality codebase with modern code review standards. Compensation Range $140,000 - $250,000/year + equity While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range. Benefits Options for housing support Visa sponsorship 3% 401k matching Health insurance #J-18808-Ljbffr

Prima Mente's goal is to deeply understand the brain, to protect the brain from neurological disease and enhance the brain in health. We do this by generating our own data, building brain foundation models, and translating discovery to real clinical and research impact. Role focus As a Machine Learning Researcher, you will help design, train, and evaluate foundation models that learn from large-scale biological data (genomics, epigenomics, single-cell, proteomics, clinical signals). Depending on your strengths, you might skew more towards: Modelling & algorithms - new architectures, training objectives, scaling strategies, multi-task / multi-modal learning. Applied research - framing high-impact questions with clinicians and biologists, building end-to-end disease models, and stress-testing them on real data. Analysis & insight - probing model internals, interpretability, mechanistic understanding, biomarker discovery. Systems & efficiency - if you enjoy it, helping push training, data, and inference infrastructure to the next scale. The role is deliberately broad: we're looking for exceptional ML talent with strong research instincts, not a single CV template. What you'll work on You won't do all of these on day one; think of this as the space of things you may own. Design and implement ML models for large-scale biological data, from pre-training to task-specific fine tuning. Partner with biologists, clinicians, and data scientists to translate biological and clinical questions into tractable ML problems. Run end-to-end experiments: dataset curation, training, evaluation, error analysis, and iteration. Develop and refine evaluation suites for robustness, generalisation, and clinical relevance (e.g. across cohorts, sites, populations). Explore multi-modal and multi-task training across genomic, epigenomic, transcriptomic, proteomic and clinical signals. Perform in-depth model analysis to extract mechanistic or biomarker-level insights, not just metrics. Collaborate on papers, internal memos, and external communication of key research results. (Optional / plus) Contribute to scaling and optimisation of training and data pipelines, in close collaboration with research engineers. Expected Growth This is illustrative; we know great people ramp differently. 1 month: You've reproduced key baselines, run initial experiments on our internal datasets, and are comfortable with our training stack. You've shipped your first improvements (e.g. better objective, data pre-processing, or evaluation variant) and presented results to the team. 3 months: You own a research thread: a model family, disease application, or methodological idea. You're independently designing experiments, refining hypotheses, and coordinating with relevant partners (ML, wet lab, clinical). 6 months: You've delivered meaningful research impact: a stronger model, a new capability, a better biomarker, or evidence that changes our direction. You are a go-to person for your area, helping others design experiments, debug models, and evaluate results. Why Join Us: Direct patient impact: Your work sits on the critical path to earlier detection and better treatment of devastating brain diseases. End-to-end environment: We run the full stack from data generation to models to clinical studies, giving you an unusually tight feedback loop. Exceptional peers: You'll work with a small, high-calibre team across ML, biology, and clinical medicine. High autonomy, high bar: You'll have genuine ownership over problems that matter, with the expectation of operating at a very high standard. Who You Are You likely recognise yourself in several of these: Motivated by advancing human health through AI, especially in neuroscience and complex disease. Deeply curious, with a habit of reading papers, prototyping ideas, and stress-testing your own assumptions. Comfortable doing real engineering work in service of research - but see yourself first and foremost as a researcher. Enjoy collaborating across disciplines and explaining your work to people with very different backgrounds. Able to stay with hard problems for a long time, and to make progress even when the path isn't obvious. Ideal experience We don't expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others. Strong background in machine learning or a closely-related field (e.g. deep learning, statistics, optimisation). Industry, academic, or hybrid paths are all welcome. Demonstrated experience training and evaluating modern ML models (e.g. transformers, diffusion, graph models, sequence models). Solid software skills in Python and at least one major ML framework (PyTorch, JAX, or TensorFlow). Experience designing and running non-trivial experiments: controlling for confounders, building robust baselines, and doing thorough error analysis. Ability to write clearly - whether in code comments, research docs, or papers. At least one of the following (more is a plus, not a requirement): Experience with large-scale data (e.g. 100B+ tokens or equivalent) or distributed training. Background in computational biology, genomics, epigenomics, neuroscience, or related areas. Work on foundation models (language, vision, or multi-modal) and interest in applying that to biology. Infra/optimisation experience (e.g. FSDP/ZeRO, quantisation, compilation, custom kernels) - especially valuable, but not mandatory. If you're unsure whether you “count” as an engineer or a researcher: please apply. We care about what you can do and how you think, not your current job title. Location Based in San Francisco, US or London, UK. We support visa applications. Culture Insight What we are doing is extremely hard. Prima Mente is for great people. We are team players who appreciate challenges, want to be hands-on, and thrive on curiosity by throwing away assumptions. We are focused on excellence at pace and huge personal growth. We are strong communicators who are highly disciplined and rigorous. Prima Mente operates with a flat organizational structure. We gain and share knowledge by contributing to multiple opportunities. Leadership is given to those who show initiative and consistently deliver excellence. We arrange our lives so we can work in person as much as possible. Our ValuesExceptional performance at exceptional pace The solutions we build demand uncompromising quality and rigour. The problems we are solving are grave and present. Inquisitive discovery We embrace curiosity and creativity. Every question is a path to a transformational breakthrough. Radical candour We practice unwavering honesty and transparency in all our challenges and interactions. Purposeful individuality Every individual in our team is celebrated for their identity, uniqueness, and experiences. We are invested in each one's bespoke personal development. Nurturing individuality will supercharge our collective purpose and spirit. Patient impact at scale We have a steadfast commitment to improve the health and well-being of patients globally. Every experiment run, every dataset analysed, and every innovation developed, is a step towards achieving a scalable impact. #J-18808-Ljbffr

About us Our mission is to build causal intelligence, starting with physics models to predict and control the weather. We're building a small team driven by a deep passion and urgency to solve this civilizationally important problem. Our founding team has led & shipped models across self-driving cars, humanoid robotics, protein folding, and video generation at world-class institutions including Google DeepMind, Cruise, Waymo, Meta, Nabla Bio, and Apple. Responsibilities Work across the full ML stack (data, model, eval, and infrastructure) Implement novel model architectures and training algorithms Build data pipelines and training infrastructure for massive, petabyte-scale, multimodal datasets Rapidly iterate on experiments and ablations Stay up-to-date on research to bring new ideas to work What we're looking for We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains. Strong grasp of machine learning fundamentals, and depth in at least one core domain (e.g. Computer Vision, Sensor Fusion, Language Models, Physics-informed NNs) Experienced at training models and understanding experiment results through careful analysis and ablation studies. Experienced at writing and optimizing massive petabyte-scale data pipelines. Familiarity with distributed training and inference. [bonus] Familiarity with meteorology, computational fluid dynamics, and/or numerical simulations. You don't have to meet every single requirement above. Benefits Work on deeply challenging, unsolved problems Competitive cash and equity compensation Medical, dental, and vision insurance Catered lunch & dinner Unlimited paid time off Visa sponsorship & relocation support #J-18808-Ljbffr

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At Doe, we're building an AI workforce that operates mission-critical workflows across private equity-backed rollups - starting with DSOs. These agents need to be fast, resilient, auditable, and secure. Here's why we might not be the right fit for you: We work hard and have a high-velocity environment with lots of growth opportunities. We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing. You will be responsible and accountable for making high-impact decisions that determine Who we're looking for: Someone who has a deep understanding of the ML development cycle, focusing on iteration speed and identifying bottlenecks Someone who is goal oriented and driven. You must be comfortable being given a goal and doing whatever is necessary to achieve the goal Profficient in Python, Tensorflow or PyTorch #J-18808-Ljbffr

A leading investment consulting firm in San Francisco seeks a hedge fund investment analyst to conduct research and monitor hedge fund performance. The candidate will collaborate with a team to provide insights into hedge fund strategies and assist in presentations to clients. An ideal candidate will possess a bachelor's degree in finance or a related field, along with two years of related experience. A commitment to strong communication and client relationships is essential. #J-18808-Ljbffr

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: High-Throughput Screening Research Associate II, III (Biodesigner II, III) Responsibilities: Perform massively parallel reporter assays and high-throughput screens across diverse cellular contexts using cellular and molecular readouts. Develop and execute molecular biology workflows such as vector design and cloning, DNA/RNA extraction, RT-PCR, qPCR, and next-generation sequencing. Support cell culture activities and experiments in multiple cell lines, at small and large scales. Design and execute cell-based assays (AAV/lentiviral transduction, transfection, flow cytometry, immunostaining, and other plate reader assays). Engineer and characterize cell-based systems using synthetic biology tools and techniques. Conduct and troubleshoot experiments, independently and in collaboration with colleagues, to optimize screening throughput, sensitivity, and specificity. Proactively troubleshoot technical issues and recommend potential corrective actions based on personal observations and literature searches. Prepare summaries of data and present internally to colleagues and management. Draft SOPs, follow protocols, diligently document experimental data in lab notebooks, and organize and maintain electronic work records. Author scientific reports and data summaries. Collaborate with cross-functional teams to meet project goals, bridging early discovery with high-throughput screens to nominate and optimize candidates for further characterization. Qualifications: Bachelor's or Master's degree in Biology, Biochemistry, Chemical Engineering, Biological Engineering, or a related field. At least 2 years of industry wet lab experience. Mammalian cell culture experience (culturing, transfecting and transducing cells, and DNA/RNA purification from cells). Molecular biology expertise (vector design and cloning, qPCR, primer and probe design, DNA/RNA extraction workflows) Critical thinker with excellent communication skills who thrives in a multidisciplinary, fast-paced team environment. Strong written and verbal communication skills. Preference will be given to those who display: High throughput screening assay development in an industry setting. High motivation, with a strong work ethic and dedication to generating impact. Attention to detail, with the ability to extract deep insights from data. First-principles thinking, and an ability to refine one's intuition based on additional data. Ability to go from ideation to data in an independent fashion. Long-term personal vision with defined career goals. High EQ with team-oriented thinking. Experience with pooled, high-throughput screens using next-generation sequencing-based readouts, and/or preparing screening plasmid libraries from synthesized oligo arrays. Experience with CRISPR-Cas systems and/or gene editing and delivery technologies. Experience preparing next-generation sequencing libraries (Illumina, PacBio, and/or Nanopore platforms). If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

Fund & Co-Investment Research Associate About Allocate Allocate is transforming private market investing by enabling wealth advisory firms to seamlessly build and manage high-quality private market programs. About the Role We're seeking a Fund & Co-Investment Research Associate to join our Private Investments team. This isn't a traditional allocator role, as you'll be a critical connector between world-class fund managers, wealth advisory CIOs, and help build and manage our technology platform. You'll evaluate venture capital and private equity opportunities, conduct manager diligence, and spend significant time with wealth advisor investment teams discussing curated deals. You need to deeply understand opportunities, answer sophisticated questions, and provide clear, accurate analysis that helps clients make confident investment decisions. Equally important, you'll own the completeness and accuracy of our platform content, ensuring all investment materials, copy, and compliance documentation stay current. Key Responsibilities Investment Research & Diligence: Conduct quantitative and qualitative research on private market managers and co-investment opportunities across venture capital, private equity, and adjacent asset classes. Prepare balanced investment analysis and recommendations. Client Engagement: Spend substantial time with wealth advisor CIOs and their investment teams discussing curated opportunities. Field detailed questions, articulate investment theses, and provide real-time analysis that demonstrates deep command of each deal. GP Relationship Development: Build and maintain relationships with fund managers, including structuring conversations, access discussions, and ongoing partnership development. Platform Completeness: Own platform content integrity-ensure investment materials are updated, copy is accurate and compliant, and all client-facing documentation metour quality standards. Sourcing & Pipeline Development: Proactively source differentiated fund and co-investment opportunities through targeted outreach, industry relationships, and market intelligence. Cross-Functional Collaboration: Partner with product, technology, and operations teams to refine platform capabilities and enhance the client investment experience. Portfolio Monitoring: Support post-investment updates, quarterly reporting, and ongoing portfolio analytics for client transparency. Market Intelligence: Develop insights and content that position Allocate as a leading voice in private markets. Qualifications Experience & Knowledge: 3+ years of experience in venture capital, private equity, wealth management, investment banking, or related fields. Deep industry knowledge of the VC/PE ecosystem, fund structures, and how institutional platforms operate. Strong understanding of private markets and alternative investments. Skills & Attributes: Hustler mentality: Proactive, resourceful, and self-directed-you don't wait to be told what to do. Exceptional communication: You can explain complex investment concepts clearly and handle sophisticated Q&A with institutional allocators. Highly personable: You build authentic relationships with both GPs and wealth advisory teams. Commercial mindset: You think about client needs, platform scalability, and growth. Startup DNA: You thrive in fast-paced environments, embrace ambiguity, and move quickly. Meticulous attention to detail: You ensure accuracy and compliance across all materials. Analytical excellence: You combine quantitative rigor with qualitative judgment. Not a Fit If You're: A pure allocator looking for a traditional fund-of-funds seat. More comfortable with analysis only role than relationship-building and client engagement. Seeking a slow-paced, process-heavy environment. Unfamiliar with how technology platforms operate. Why Allocate? Shape the infrastructure layer for an entire industry. Ability to immediately work with top VCs and PE firms, along with CIOs in the wealth advisory world. Allocate is one of the fastest-growing platforms in private markets. Palo Alto office in the heart of the venture ecosystem. High impact, high visibility work with real ownership and autonomy. Additional Information Location: Palo Alto, CA. Must be able to work in-office 4 days a week. Compensation: $160K-$200K base + bonus + stock equity. Benefits: Medical, dental, vision, 401(k), responsible time off. Employment: Full-time. Compliance: This role is subject to Allocate's Code of Ethics and all related compliance obligations. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Must have legal authorization to work in the U.S. now and in the future without visa sponsorship. #J-18808-Ljbffr

An established industry player is seeking innovative Research Engineers to enhance AI safety and reliability. In this pivotal role, you will design and implement cutting-edge machine learning models, ensuring they align with human values and safety standards. Collaborating with a diverse team of experts, you'll tackle complex challenges and optimize AI systems for real-world deployment. This is your chance to make a meaningful impact on how AI benefits society while staying at the forefront of technological advancements. If you're passionate about AI safety and eager to contribute to transformative projects, this opportunity is for you. #J-18808-Ljbffr

A blockchain company in San Francisco is seeking a candidate to innovate the Tempo protocol and collaborate with industry experts. The ideal applicant will possess substantial experience in protocol research, particularly regarding consensus and scaling, as well as strong abilities in Solidity. This role emphasizes the design of new features while addressing privacy and efficiency, contributing to the evolution of payment solutions in the crypto space. #J-18808-Ljbffr

A brain health technology firm based in San Francisco is seeking a Machine Learning Researcher to design and evaluate models for large-scale biological data. This role involves collaboration with clinicians and biologists, developing end-to-end experiments, and driving research insights with a team of exceptional peers. Ideal candidates possess strong backgrounds in machine learning, solid Python skills, and the ability to communicate clearly. Join us for impactful work aimed at improving health outcomes. #J-18808-Ljbffr

A technology company based in San Francisco is seeking a talented Machine Learning Researcher to join its R&D team. The role focuses on developing advanced machine learning models for EEG-based neural decoding, collaborating with experts in the field, and contributing to high-impact research publications. The ideal candidate holds a significant background in ML research or engineering, particularly with deep learning, and proficiency with tools like Python and PyTorch. This position offers a competitive salary and benefits, including visa sponsorship and housing support. #J-18808-Ljbffr

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Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: High-Throughput Screening Research Associate II, III (Biodesigner II, III) Responsibilities: Perform massively parallel reporter assays and high-throughput screens across diverse cellular contexts using cellular and molecular readouts. Develop and execute molecular biology workflows such as vector design and cloning, DNA/RNA extraction, RT-PCR, qPCR, and next-generation sequencing. Support cell culture activities and experiments in multiple cell lines, at small and large scales. Design and execute cell-based assays (AAV/lentiviral transduction, transfection, flow cytometry, immunostaining, and other plate reader assays). Engineer and characterize cell-based systems using synthetic biology tools and techniques. Conduct and troubleshoot experiments, independently and in collaboration with colleagues, to optimize screening throughput, sensitivity, and specificity. Proactively troubleshoot technical issues and recommend potential corrective actions based on personal observations and literature searches. Prepare summaries of data and present internally to colleagues and management. Draft SOPs, follow protocols, diligently document experimental data in lab notebooks, and organize and maintain electronic work records. Author scientific reports and data summaries. Collaborate with cross-functional teams to meet project goals, bridging early discovery with high-throughput screens to nominate and optimize candidates for further characterization. Qualifications: Bachelor's or Master's degree in Biology, Biochemistry, Chemical Engineering, Biological Engineering, or a related field. At least 2 years of industry wet lab experience. Mammalian cell culture experience (culturing, transfecting and transducing cells, and DNA/RNA purification from cells). Molecular biology expertise (vector design and cloning, qPCR, primer and probe design, DNA/RNA extraction workflows) Critical thinker with excellent communication skills who thrives in a multidisciplinary, fast-paced team environment. Strong written and verbal communication skills. Preference will be given to those who display: High throughput screening assay development in an industry setting. High motivation, with a strong work ethic and dedication to generating impact. Attention to detail, with the ability to extract deep insights from data. First-principles thinking, and an ability to refine one's intuition based on additional data. Ability to go from ideation to data in an independent fashion. Long-term personal vision with defined career goals. High EQ with team-oriented thinking. Experience with pooled, high-throughput screens using next-generation sequencing-based readouts, and/or preparing screening plasmid libraries from synthesized oligo arrays. Experience with CRISPR-Cas systems and/or gene editing and delivery technologies. Experience preparing next-generation sequencing libraries (Illumina, PacBio, and/or Nanopore platforms). If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

A leading AI research firm in San Francisco seeks a Research Engineer to evaluate model capabilities in finance. The candidate should possess strong analytical skills, be detail-oriented, and thrive in a dynamic environment. Responsibilities include identifying significant financial workflows and refining AI evaluations. A passion for AGI/ASI measurement and proficiency in Excel are essential. Join us to contribute to advancing AI technology responsibly. #J-18808-Ljbffr

Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe's experience in global payments and Paradigm's expertise in crypto tech. Tempo's payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century. We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more. We're a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. Our team primarily works in-person out of our San Francisco and NYC offices. We like to move fast and swing for the fences - join us! The Role This person would work closely with researchers at Tempo, Paradigm, Stripe, and our design partners to invent the future of the Tempo protocol. Responsibilities Design new protocol-level features to solve problems like privacy, capital efficiency, and scaling Pressure-test ideas with the rest of the team and the community Prototype reference implementation into new features and ship into production Explain novel inventions to users, partners, and the world Qualifications Experience with protocol research on topics like consensus, scaling, cryptography, liquidity, and MEV Demonstrated experience shipping production-level features for DEXs, L1s, L2s, or other onchain products. Ability to write, test, and optimize Solidity code. Deep understanding of EVM blockchains, including features like account abstraction and gas metering Interest in using crypto to solve real-world problems around payments Attributes Razor-sharp thinker with precise command of language Concise, evidence-based storytelling ability Excellent organizational and logistical skills Intense curiosity and open-mindedness Scrappiness; willingness to roll up sleeves Growth mindset #J-18808-Ljbffr

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Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: High-Throughput Screening Research Associate II, III (Biodesigner II, III) Responsibilities: Perform massively parallel reporter assays and high-throughput screens across diverse cellular contexts using cellular and molecular readouts. Develop and execute molecular biology workflows such as vector design and cloning, DNA/RNA extraction, RT-PCR, qPCR, and next-generation sequencing. Support cell culture activities and experiments in multiple cell lines, at small and large scales. Design and execute cell-based assays (AAV/lentiviral transduction, transfection, flow cytometry, immunostaining, and other plate reader assays). Engineer and characterize cell-based systems using synthetic biology tools and techniques. Conduct and troubleshoot experiments, independently and in collaboration with colleagues, to optimize screening throughput, sensitivity, and specificity. Proactively troubleshoot technical issues and recommend potential corrective actions based on personal observations and literature searches. Prepare summaries of data and present internally to colleagues and management. Draft SOPs, follow protocols, diligently document experimental data in lab notebooks, and organize and maintain electronic work records. Author scientific reports and data summaries. Collaborate with cross-functional teams to meet project goals, bridging early discovery with high-throughput screens to nominate and optimize candidates for further characterization. Qualifications: Bachelor's or Master's degree in Biology, Biochemistry, Chemical Engineering, Biological Engineering, or a related field. At least 2 years of industry wet lab experience. Mammalian cell culture experience (culturing, transfecting and transducing cells, and DNA/RNA purification from cells). Molecular biology expertise (vector design and cloning, qPCR, primer and probe design, DNA/RNA extraction workflows) Critical thinker with excellent communication skills who thrives in a multidisciplinary, fast-paced team environment. Strong written and verbal communication skills. Preference will be given to those who display: High throughput screening assay development in an industry setting. High motivation, with a strong work ethic and dedication to generating impact. Attention to detail, with the ability to extract deep insights from data. First-principles thinking, and an ability to refine one's intuition based on additional data. Ability to go from ideation to data in an independent fashion. Long-term personal vision with defined career goals. High EQ with team-oriented thinking. Experience with pooled, high-throughput screens using next-generation sequencing-based readouts, and/or preparing screening plasmid libraries from synthesized oligo arrays. Experience with CRISPR-Cas systems and/or gene editing and delivery technologies. Experience preparing next-generation sequencing libraries (Illumina, PacBio, and/or Nanopore platforms). If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.