{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/at/inceptive"},"x-facet":{"type":"company","slug":"inceptive","display":"Inceptive","count":5},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cf82e408-47b"},"title":"Scaling Experiments for AI-designed Medicines","description":"<p>At Inceptive, you will help pioneer the next generation of AI-designed drugs, with the potential to positively impact billions of people, as part of a collaborative, interdisciplinary team.</p>\n<p>Training on natural and experimentally-derived data is a core aspect of how our AI models learn to generate therapeutic molecules with exceptional properties. We invest deeply in building and scaling data sources to train and evaluate our models for maximal performance. At the same time, careful validation in orthogonal, translationally-relevant assays is crucial to orient our models.</p>\n<p>We are seeking a senior scientific leader versed in high-throughput and translational biology to drive the continued growth and impact of our Palo Alto Lab. You will be a force multiplier for our scientists and engineers, ensuring a high standard of scientific rigor and output in a fast-paced, dynamic environment. You will also interface closely with our AI team to maximize the impact of internal data on Inceptive’s foundation models.</p>\n<p>Your Mission, should you choose to accept it - Lead development and scale-up of high-throughput assays across in vitro, cellular, and in vivo systems, leveraging multiplexed assays and laboratory automation - Define and execute a lab strategy aligned with Inceptive’s therapeutic and platform priorities, while remaining flexible as modality and partnership needs evolve - Champion an interdisciplinary culture, encouraging curiosity, rigor, and collaboration across scientific boundaries - Manage, mentor, and develop a multidisciplinary team of scientists and engineers that rapidly generates high-impact biological data to improve and validate AI design models - Oversee the development of industry-standard validation assays to keep models and data generation aligned with downstream therapeutic application</p>\n<p>Qualifications - PhD and 6+ years of post-PhD experience in industrial research applied to drug development - Experience managing and mentoring a data-driven lab of 10+ scientists - Experience using high-throughput and/or highly multiplexed assays to generate rich datasets from mammalian cells - Proven ability to set scientific direction while also executing operationally - Deep understanding of theory, techniques, and experimental design in molecular and cellular biology - Visualization, analysis, and statistics applied to complex biological datasets - Availability to work with team members across US and Europe, with meetings starting at 7am PT - Readiness to travel several times a year for company retreats and business events - We value in-person collaboration and expect candidates to work at our lab location</p>\n<p>Preferred skills - Translational experience with mRNA, oligonucleotides, or other genetic medicines - Expertise in immunology and/or cell therapy - Hands-on experience in RNA biology and biochemistry - Scientific programming in Python - Hands-on experience with modern data engineering workflows</p>\n<p>Compensation $245K – $305K + Bonus + Equity</p>\n<p>What we offer - A competitive compensation package - 30 days paid vacation per year - Comprehensive health insurance for US based Beginners - 401K with company match for US based Beginners and Direktversicherung for German Beginners - Quarterly company-wide retreats - Monthly wellness benefit - Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland - Learning &amp; Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning &amp; Development platform EdX and Hone - A buddy to help you get settled *Varies by country and does not apply to internships</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cf82e408-47b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Inceptive","sameAs":"https://inceptive.com","logo":"https://logos.yubhub.co/inceptive.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/inceptive/jobs/5060348007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$245K – $305K + Bonus + Equity","x-skills-required":["high-throughput and translational biology","AI model development","data science","molecular and cellular biology","experimental design"],"x-skills-preferred":["translational experience with mRNA, oligonucleotides, or other genetic medicines","expertise in immunology and/or cell therapy","hands-on experience in RNA biology and biochemistry","scientific programming in Python","hands-on experience with modern data engineering workflows"],"datePosted":"2026-04-18T15:57:27.652Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Biotechnology","skills":"high-throughput and translational biology, AI model development, data science, molecular and cellular biology, experimental design, translational experience with mRNA, oligonucleotides, or other genetic medicines, expertise in immunology and/or cell therapy, hands-on experience in RNA biology and biochemistry, scientific programming in Python, hands-on experience with modern data engineering workflows","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":245000,"maxValue":305000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_030d0558-4cf"},"title":"Open Apply","description":"<p>At Inceptive, you will drive research forward that could help billions of people. As part of a collaborative, interdisciplinary team building our biological software, you will work alongside scientists, deep learning researchers, engineers, and entrepreneurs.</p>\n<p>To accomplish this, you will be available to accommodate working with team members across different time zones, with one or two meetings per week starting at 8am PT or finishing at 7pm CET. You will also be ready to travel several times a year for company retreats and business events.</p>\n<p>We value the benefits of in-person collaboration and prefer candidates who can easily and regularly connect at one of our office locations.</p>\n<p>As a member of our team, you will receive a competitive compensation package, including $105K – $240K + Bonus + Equity. You will also enjoy 30 days paid vacation per year, comprehensive health insurance for US-based beginners, and a 401K with company match for US-based beginners and Direktversicherung for German beginners.</p>\n<p>Additionally, you will participate in quarterly company-wide retreats, monthly wellness benefits, and budget for multiple visits per year to our offices in Berlin, Palo Alto, or Switzerland. You will also have access to the Learning &amp; Development platform EdX and Hone, as well as a buddy to help you get settled.</p>\n<p>Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming interdisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.</p>\n<p>We approach our goals with a beginner&#39;s mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations.</p>\n<p>We are building a company culture centered around growth, learning, and discovery. We believe in humility and open-mindedness in how we approach each other, as well as problems we don&#39;t yet have solutions for.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_030d0558-4cf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Inceptive","sameAs":"https://inceptive.com","logo":"https://logos.yubhub.co/inceptive.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/inceptive/jobs/4085997007","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$105K – $240K + Bonus + Equity","x-skills-required":["molecular biology","machine learning","software engineering","deep learning","biology"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:56:24.003Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, Berlin, or Zurich"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"molecular biology, machine learning, software engineering, deep learning, biology","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":105000,"maxValue":240000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_bf1d2cbb-e48"},"title":"High-throughput data generation to advance ML design","description":"<p>At Inceptive, you will drive development forward that could help billions of people. To accomplish this, you will be part of a collaborative, interdisciplinary team building our biological software.</p>\n<p>Our AI models learn to generate therapeutic molecules with improved properties by training on natural and experimentally-derived data. Acquiring data relevant to function at scale is a critical step in maximizing the performance of our models. We think broadly about the type and scale of data necessary to improve our models, then identify or invent the methods needed to acquire that data.</p>\n<p>You will be responsible for the development and deployment of novel high-throughput assays to measure various properties of large sequence libraries. You will use a data-driven approach to optimize assays and apply chemical and biological insights to maximize the utility of information collected. You will apply this data to efficiently improve design of therapeutic molecules in close collaboration with biologists, ML and data engineers, and translational experts.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Embody our vision of an interdisciplinary environment and embrace learning about areas outside of your traditional area of expertise</li>\n</ul>\n<ul>\n<li>Collaborate with team members from diverse backgrounds to create experiments that creatively leverage biology and computation</li>\n</ul>\n<ul>\n<li>Develop and execute pooled assays to measure sequence-to-function in vitro, in cells, and in vivo</li>\n</ul>\n<ul>\n<li>Generate, analyze, and communicate data that maximally impacts AI-based molecular design</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>PhD and 4+ years of post-PhD experience (e.g., startup, industry, or research)</li>\n</ul>\n<ul>\n<li>Problem-solver who combines deep knowledge of experimental methods with quantitative intuition to generate biological data at and beyond the state-of-the-art</li>\n</ul>\n<ul>\n<li>Solid foundation in theory and techniques of molecular and cellular biology</li>\n</ul>\n<ul>\n<li>History of building highly multiplexed assays to generate rich datasets from mammalian cells, such as large functional screens or single-cell &#39;omics</li>\n</ul>\n<ul>\n<li>Scientific programming (preferably in Python), including analysis and visualization of complex data</li>\n</ul>\n<ul>\n<li>Availability to work with team members across US and Europe, with meetings starting at 8am PT</li>\n</ul>\n<ul>\n<li>Readiness to travel several times a year for company retreats and business events</li>\n</ul>\n<ul>\n<li>We value in-person collaboration and expect candidates to work at our lab location</li>\n</ul>\n<p><strong>Preferred skills</strong></p>\n<ul>\n<li>Experience with mammalian synthetic biology, particularly for cell therapy applications</li>\n</ul>\n<ul>\n<li>Knowledge of RNA biology, biochemistry, and biologics drug development</li>\n</ul>\n<ul>\n<li>Strong understanding of next-generation sequencing platforms (Illumina, Oxford Nanopore, Pac Bio), including library preparation and data analysis</li>\n</ul>\n<ul>\n<li>Experience generating and analyzing large &#39;omics datasets, via sequencing and/or mass spectrometry</li>\n</ul>\n<p>Compensation</p>\n<p>$135K – $240K + Bonus + Equity</p>\n<p>What we offer</p>\n<ul>\n<li>A competitive compensation package</li>\n</ul>\n<ul>\n<li>30 days paid vacation per year</li>\n</ul>\n<ul>\n<li>Comprehensive health insurance for US based Beginners</li>\n</ul>\n<ul>\n<li>401K with company match for US based Beginners and Direktversicherung for German Beginners</li>\n</ul>\n<ul>\n<li>Quarterly company-wide retreats</li>\n</ul>\n<ul>\n<li>Monthly wellness benefit</li>\n</ul>\n<ul>\n<li>Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland</li>\n</ul>\n<ul>\n<li>Learning &amp; Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning &amp; Development platform EdX and Hone</li>\n</ul>\n<ul>\n<li>A buddy to help you get settled</li>\n</ul>\n<p>*Varies by country and does not apply to internships</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_bf1d2cbb-e48","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Inceptive","sameAs":"https://inceptive.com","logo":"https://logos.yubhub.co/inceptive.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/inceptive/jobs/4951550007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$135K – $240K + Bonus + Equity","x-skills-required":["PhD","Experimental methods","Quantitative intuition","Molecular and cellular biology","Scientific programming","Analysis and visualization of complex data"],"x-skills-preferred":["Mammalian synthetic biology","RNA biology","Biochemistry","Biologics drug development","Next-generation sequencing platforms","Library preparation and data analysis"],"datePosted":"2026-04-18T15:54:56.135Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Biotechnology","skills":"PhD, Experimental methods, Quantitative intuition, Molecular and cellular biology, Scientific programming, Analysis and visualization of complex data, Mammalian synthetic biology, RNA biology, Biochemistry, Biologics drug development, Next-generation sequencing platforms, Library preparation and data analysis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":135000,"maxValue":240000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f0792575-799"},"title":"Advancing Inceptive's commercial strategy","description":"<p>We are seeking a Business Development professional to help identify, structure, and execute strategic partnerships at the intersection of science, strategy, and dealmaking. As part of our collaborative, antedisciplinary team, you will drive development forward that could help billions of people.</p>\n<p>Your mission will be to embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise. You will identify and source new business opportunities with biotech and pharma through market research, networking, and by building business relationships to expand Inceptive’s network.</p>\n<p>Key responsibilities include leading outbound BD efforts, including prospecting, relationship building, and pipeline management, as well as supporting deal execution (term sheets, negotiations, diligence, closing) and collaborating with scientific and technical teams to translate platform capabilities into partner value.</p>\n<p>To succeed in this role, you will need a Master&#39;s in science (PhD preferred), ideally with a background in biologics, genetic medicines, or deep learning methods applied to drug development, and 3 years of experience in business development in pharma, biotech or VC.</p>\n<p>The salary range for this position is $135K – $240K + Bonus + Equity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f0792575-799","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Inceptive","sameAs":"https://inceptive.com","logo":"https://logos.yubhub.co/inceptive.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/inceptive/jobs/4934419007","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$135K – $240K + Bonus + Equity","x-skills-required":["biologics","genetic medicines","deep learning methods","business development","pharma","biotech","VC"],"x-skills-preferred":["market research","networking","relationship building","pipeline management","deal execution","negotiations","diligence","closing"],"datePosted":"2026-04-18T15:53:46.861Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto"}},"employmentType":"FULL_TIME","occupationalCategory":"Business Development","industry":"Biotechnology","skills":"biologics, genetic medicines, deep learning methods, business development, pharma, biotech, VC, market research, networking, relationship building, pipeline management, deal execution, negotiations, diligence, closing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":135000,"maxValue":240000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_19c6b9e4-ff6"},"title":"Foundation and generative models for biomolecules","description":"<p>At Inceptive, you will drive forward development that could help billions of people. You will be part of a collaborative, interdisciplinary team building our biological software.</p>\n<p>The design space of biomolecules is unimaginably vast , far beyond what can be explored experimentally. Yet within this space lie molecules with properties essential for new medicines. Our machine learning models learn to design therapeutic biomolecules with specific, desirable functions.</p>\n<p>We advance the state of the art in molecular design by training large-scale foundation models and developing cutting-edge generative approaches. The models learn from diverse heterogeneous datasets and are refined through focused fine-tuning and feedback from experiments. Key to progress is a team that combines exceptional machine learning expertise with thorough domain understanding.</p>\n<p>You will collaborate closely with other machine learning researchers and engineers, as well as computational and experimental biologists, to advance these models and translate their capabilities into real therapeutic designs.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Embody our vision of an interdisciplinary environment and embrace learning about areas outside of your traditional area of expertise</li>\n</ul>\n<ul>\n<li>Develop, implement, train, and iteratively improve state-of-the-art models for biomolecule design</li>\n</ul>\n<ul>\n<li>Analyze, visualize, and communicate results to support team efforts in improving models and data</li>\n</ul>\n<ul>\n<li>Create, deploy, and refine tools for efficient, reliable machine learning experimentation and production</li>\n</ul>\n<ul>\n<li>Work with biologists to collect data for the training and evaluation of generative models of biomolecules</li>\n</ul>\n<ul>\n<li>Provide mentorship and technical direction to team members as appropriate</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>3+ years of hands-on experience developing ML models</li>\n</ul>\n<ul>\n<li>Demonstrated track record of implementing, training, improving advanced machine learning models</li>\n</ul>\n<ul>\n<li>Highly capable programmer fluent in Python ecosystem and PyTorch or similar deep learning framework</li>\n</ul>\n<ul>\n<li>Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET</li>\n</ul>\n<ul>\n<li>Readiness to travel several times a year for company retreats and business events</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>$200K – $275K + Bonus + Equity</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>A competitive compensation package</li>\n</ul>\n<ul>\n<li>30 days paid vacation per year</li>\n</ul>\n<ul>\n<li>Comprehensive health insurance for US based employees</li>\n</ul>\n<ul>\n<li>401K with company match for US based employees and Direktversicherung for German employees</li>\n</ul>\n<ul>\n<li>Quarterly company-wide retreats</li>\n</ul>\n<ul>\n<li>Monthly wellness benefit</li>\n</ul>\n<ul>\n<li>Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland</li>\n</ul>\n<ul>\n<li>Learning &amp; Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning &amp; Development platform EdX and Hone</li>\n</ul>\n<ul>\n<li>A buddy to help you get settled</li>\n</ul>\n<p>At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming interdisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_19c6b9e4-ff6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Inceptive","sameAs":"https://inceptive.com","logo":"https://logos.yubhub.co/inceptive.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/inceptive/jobs/4961579007","x-work-arrangement":"onsite","x-experience-level":"entry|mid|senior|staff|executive","x-job-type":"full-time","x-salary-range":"$200K – $275K + Bonus + Equity","x-skills-required":["Python","PyTorch","Machine Learning","Deep Learning","Biological Software","Molecular Design","Generative Models","Domain Understanding","Interdisciplinary Teamwork"],"x-skills-preferred":["PhD in AI/ML, computer science, computational biology, physics, or a related field","Strong skills in designing, executing, and documenting machine learning experiments","Practical experience with modern generative models","Strong software engineering skills, in particular for data processing, evaluation of ML models, compute cluster orchestration","Experience with large-scale model training, foundation models, model parallelism, multi-node training","Experience with bio sequence data and datasets — various genomic and protein data, sequencing, functional assays, etc","Knowledge of biochemistry, molecular/cell biology, and drug development"],"datePosted":"2026-04-18T15:52:21.853Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berlin, Germany or Palo Alto, CA or Zurich, Switzerland"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, Machine Learning, Deep Learning, Biological Software, Molecular Design, Generative Models, Domain Understanding, Interdisciplinary Teamwork, PhD in AI/ML, computer science, computational biology, physics, or a related field, Strong skills in designing, executing, and documenting machine learning experiments, Practical experience with modern generative models, Strong software engineering skills, in particular for data processing, evaluation of ML models, compute cluster orchestration, Experience with large-scale model training, foundation models, model parallelism, multi-node training, Experience with bio sequence data and datasets — various genomic and protein data, sequencing, functional assays, etc, Knowledge of biochemistry, molecular/cell biology, and drug development","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":200000,"maxValue":275000,"unitText":"YEAR"}}}]}