{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/at/bighatbiosciences"},"x-facet":{"type":"company","slug":"bighatbiosciences","display":"Bighatbiosciences","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_3bf102f8-b63"},"title":"Associate Director/Principal, Machine Learning Scientist","description":"<p>We are seeking a creative and accomplished Associate Director or Principal Machine Learning Scientist to advance the state of the art in ML-driven therapeutic antibody design.</p>\n<p>Our full-stack antibody drug development platform uses machine learning to drive every stage from discovery to optimization. Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and deploy the latest models.</p>\n<p>As a successful candidate, you will apply your world-class machine learning skillset to refine and expand this state-of-the-art protein engineering platform. Success will mean not only hands-on methods development, but helping shape the direction for future machine learning research, and actively participating in the application of our platform to the accelerated design of new therapeutics.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Design and implement the next state-of-the-art generative models of antibody sequence and structure, and predictive models of antibody properties, trained on proprietary internal datasets of thousands to millions of antibodies.</li>\n<li>Provide leadership, technical guidance, and mentorship to other machine learning and data science FTEs and interns.</li>\n<li>Help set strategy for future machine learning research, driven by a strong high-level understanding of BigHat programs and operations as well as real-world drug development challenges.</li>\n<li>Develop, refine, and deploy de novo design methods for generating initial hits to challenging, therapeutically interesting targets.</li>\n<li>Develop multi-modality, multi-objective iterative protein sequence optimization approaches to lab-in-the-loop antibody design problems for validation and deployment in our high-throughput wet lab - at BigHat success is only declared upon synthesis of real antibodies with drug-like properties.</li>\n<li>Maintain an in-depth understanding of the current state-of-the-art in machine learning-driven protein engineering, both in the literature and at BigHat.</li>\n<li>Share your findings at top-tier conferences and publish in leading scientific journals to advance the field of protein engineering.</li>\n<li>Provide machine learning expertise and support for ongoing therapeutics programs, directly contributing to the development of new drugs.</li>\n<li>Collaborate with our engineering team to ensure maximal efficiency in the automated and agentic deployment of our latest models to our therapeutics programs.</li>\n<li>Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc. to identify inefficiencies or potential improvements in BigHat’s platform, and plan and prioritize machine learning methods development accordingly.</li>\n</ul>\n<p><strong>Skills, Knowledge &amp; Expertise</strong></p>\n<ul>\n<li>PhD in machine learning/computer science or in the hard sciences with 5+ years experience post-graduation in developing and applying novel machine learning methods, and a strong quantitative background.</li>\n<li>Publications in major machine learning conferences and/or leading journals, and an extensive demonstrable track record developing and applying novel machine learning in industry.</li>\n<li>Strong competency in Python, familiarity with PyTorch, and experience with modern software engineering best practices.</li>\n<li>Excellent communication skills, sufficient biomedical domain knowledge to interact effectively with diverse scientific teams.</li>\n<li>Enjoys a fast-paced environment and excels at executing across multiple projects.</li>\n<li>Familiarity with the current state-of-the-art in machine learning-driven protein engineering</li>\n<li>Nice-to-haves include experience with de novo design, NGS data, Bayesian optimization, familiarity with antibody biology and drug development, and experience training and deploying models on AWS.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>The salary estimated for this position is $254,000 - $290,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.</p>\n<p>What BigHat Offers:</p>\n<ul>\n<li>Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)</li>\n<li>Dental, and vision coverage through Guardian</li>\n<li>Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more</li>\n<li>401(k) with company match</li>\n<li>DTO, two weeks of company-wide shutdown, and 12 company holidays</li>\n<li>Paid parental leave</li>\n</ul>\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_3bf102f8-b63","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bighatbiosciences","sameAs":"https://bighat.bio/","logo":"https://logos.yubhub.co/bighat.bio.png"},"x-apply-url":"https://bighatbiosciences.pinpointhq.com/en/postings/f4448727-74af-40b7-8c4c-120b5b1a2e25","x-work-arrangement":"Hybrid","x-experience-level":"senior","x-job-type":"full time","x-salary-range":"$254,000 - $290,000 + bonus + options + benefits","x-skills-required":["PhD in machine learning/computer science or in the hard sciences","5+ years experience post-graduation in developing and applying novel machine learning methods","Strong competency in Python","Familiarity with PyTorch","Experience with modern software engineering best practices"],"x-skills-preferred":["De novo design","NGS data","Bayesian optimization","Familiarity with antibody biology and drug development","Experience training and deploying models on AWS"],"datePosted":"2026-04-17T12:25:23.475Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Biotechnology","skills":"PhD in machine learning/computer science or in the hard sciences, 5+ years experience post-graduation in developing and applying novel machine learning methods, Strong competency in Python, Familiarity with PyTorch, Experience with modern software engineering best practices, De novo design, NGS data, Bayesian optimization, Familiarity with antibody biology and drug development, Experience training and deploying models on AWS","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":254000,"maxValue":290000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_28b60f7c-242"},"title":"Director/Senior Director, Antibody Discovery","description":"<p>We are seeking an exceptional and highly experienced individual for a position as Director/Senior Director of Antibody Discovery. This individual will lead our antibody discovery and display function, conceiving of and leading multi-year team and technology strategy as well as managing routine operational execution for identification and maturation of high-quality antibodies across antigen types for both BigHat and BigHat-partnered therapeutic research programs.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Lead BigHat&#39;s antibody discovery and display functions, setting the scientific, technical, and strategic direction</li>\n<li>Oversee the routine execution of display-based selection campaigns to enhance and diversify affinity, developability, and function across diverse antibody formats and antigen types in support of BigHat and BigHat-partnered therapeutic programs</li>\n<li>Manage and mentor a team of scientists responsible for antibody library design, generation, screening, selection, and early optimization</li>\n<li>Shape and expand BigHat&#39;s antibody discovery technologies and capabilities, including new display and selection methods, library design strategies, and technical approaches that leverage and enhance the company&#39;s integrated experimental and computational platform</li>\n<li>Provide scientific leadership across discovery and early optimization efforts, ensuring antibodies emerging from selections possess strong functional and developability characteristics</li>\n<li>Work closely with leaders in Protein Sciences, Data Science/Machine Learning, Engineering, and Platform groups to ensure seamless progression from discovery through characterization and optimization</li>\n<li>Collaborate with biology and therapeutic research leads to ensure display outputs align with and advance program objectives</li>\n<li>Foster a collaborative and high-performance culture within the discovery organization</li>\n</ul>\n<p>Benefits:\nThe salary estimated for this position is $230,000 - $270,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.</p>\n<p>We offer a range of health insurance plan options through Anthem and Kaiser, dental and vision coverage through Guardian, additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more, 401(k) with company match, DTO, two weeks of company-wide shutdown, and 12 company holidays, paid parental leave.</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_28b60f7c-242","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bighatbiosciences","sameAs":"https://www.bighatbio.com/","logo":"https://logos.yubhub.co/bighatbio.com.png"},"x-apply-url":"https://bighatbiosciences.pinpointhq.com/en/postings/d50002c9-77b6-4e95-978c-f35af53fb3d7","x-work-arrangement":"Hybrid","x-experience-level":"senior","x-job-type":"permanent","x-salary-range":"$230,000 - $270,000 + bonus + options + benefits","x-skills-required":["Ph.D. in molecular biology, biochemistry, protein engineering, or related discipline","12+ years of experience in antibody discovery and engineering within academia, biotechnology, or pharmaceutical industries","8+ years of managerial experience leading scientific teams","Strong expertise with protein display systems such as yeast, phage, mammalian, or mRNA display","Demonstrated experience with antibody library design, construction, screening, and selection analysis","Deep understanding of antibody structure-function relationships and mechanisms of antigen recognition","Experience integrating antibody discovery workflows with downstream characterization and developability assessment, including functional screening and biophysical evaluation of antibody candidates","Familiarity with computational or ML-enabled approaches to protein design and optimization","Experience advancing biologics from early discovery through lead optimization stages","Knowledge of diverse antibody modalities including multispecific antibodies, antibody fragments, and other advanced formats","Strong leadership skills with experience building and mentoring scientific teams","Strategic thinker capable of aligning discovery activities with broader company goals","Excellent communication and cross-functional collaboration skills","Self-motivated and comfortable working in a fast-paced startup environment"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:24:54.099Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo, CA"}},"occupationalCategory":"Lab Science","industry":"Biotechnology","skills":"Ph.D. in molecular biology, biochemistry, protein engineering, or related discipline, 12+ years of experience in antibody discovery and engineering within academia, biotechnology, or pharmaceutical industries, 8+ years of managerial experience leading scientific teams, Strong expertise with protein display systems such as yeast, phage, mammalian, or mRNA display, Demonstrated experience with antibody library design, construction, screening, and selection analysis, Deep understanding of antibody structure-function relationships and mechanisms of antigen recognition, Experience integrating antibody discovery workflows with downstream characterization and developability assessment, including functional screening and biophysical evaluation of antibody candidates, Familiarity with computational or ML-enabled approaches to protein design and optimization, Experience advancing biologics from early discovery through lead optimization stages, Knowledge of diverse antibody modalities including multispecific antibodies, antibody fragments, and other advanced formats, Strong leadership skills with experience building and mentoring scientific teams, Strategic thinker capable of aligning discovery activities with broader company goals, Excellent communication and cross-functional collaboration skills, Self-motivated and comfortable working in a fast-paced startup environment","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_271bb707-cff"},"title":"Lab Operations Associate","description":"<p>We are seeking a self-motivated individual to support the expansion of lab operations functions and to support broader platform growth. This role will enable the development of existing and new capabilities within Lab Operations, take ownership of growing functional areas, and help to support the expansion of lab operations at BigHat. This role reports directly to the Lab Manager.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>inventory incoming and existing materials, track quantities and order more as needed, and restock shelves with necessary materials.</li>\n<li>Respond to purchasing requests from lab users, routing through the appropriate level approval pathways and placing orders for requested items.</li>\n<li>Take leadership of vendor relationships and coordination of support and maintenance services.</li>\n<li>Coordinate, perform, troubleshoot, and document laboratory instrumentation events, communicating updates to the broader team.</li>\n<li>Ensure all projects have the materials and instrumentation necessary to run smoothly.</li>\n<li>Obtain certification for handling, shipping, and disposal of hazardous materials and coordinate shipments and pickups as needed, maintaining good documentation of events.</li>\n<li>Maintain the cleanliness, safety, and organization of the lab and storage spaces.</li>\n<li>Assist with and own documentation of various related areas such as SDS management, SOP writing and processing, and hazardous waste documentation.</li>\n<li>Communicate with lab team members to understand, respond to, and communicate their needs.</li>\n</ul>\n<p>Skills, Knowledge &amp; Expertise:</p>\n<ul>\n<li>BS in Biology, Chemistry, or a related field, with 1+ year(s) of industry experience.</li>\n<li>Experience in a laboratory environment, with experience in lab operations, inventory management, documentation systems, purchasing systems, or instrumentation maintenance a plus.</li>\n<li>Self-motivated individual with attention to detail, excited to work in a dynamic start-up environment.</li>\n<li>Strong interpersonal skills and ability to effectively communicate with members of a multidisciplinary team.</li>\n<li>Excellent record-keeping abilities.</li>\n<li>Experience with Google Suite, with a focus on Google Sheets.</li>\n<li>Experience with LIMS, lab management, and organizational software is a plus.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>The salary estimated for this position is $80,000 - $105,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.</li>\n<li>Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)</li>\n<li>Dental, and vision coverage through Guardian</li>\n<li>Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more</li>\n<li>401(k) with company match</li>\n<li>DTO, two weeks of company-wide shutdown, and 12 company holidays</li>\n<li>Paid parental leave</li>\n</ul>\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_271bb707-cff","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bighatbiosciences","sameAs":"https://bighat.bio/","logo":"https://logos.yubhub.co/bighat.bio.png"},"x-apply-url":"https://bighatbiosciences.pinpointhq.com/en/postings/e03a4058-62a7-4fc0-a857-6c170820ee1c","x-work-arrangement":"On-site","x-experience-level":"mid","x-job-type":"full time","x-salary-range":"$80,000 - $105,000 + bonus + options + benefits","x-skills-required":["inventory management","documentation systems","purchasing systems","instrumentation maintenance","Google Suite","LIMS","lab management","organizational software"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:24:34.811Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Biotechnology","skills":"inventory management, documentation systems, purchasing systems, instrumentation maintenance, Google Suite, LIMS, lab management, organizational software","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":80000,"maxValue":105000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_608305cb-5a6"},"title":"Software Engineer (SWE I / SWE II)","description":"<p>We are looking for a Software Engineer to join our Lab Systems team. As a Software Engineer, you will work closely with engineers, product partners, and laboratory scientists to build and evolve internal software systems that support the design, build, and testing of therapeutic antibodies at scale.</p>\n<p>This role is designed for engineers with several years of experience building and supporting production software who are excited to grow their technical scope and domain impact. Depending on experience and demonstrated impact, this role may be leveled as Software Engineer I (SWE I) or Software Engineer II (SWE II).</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Design, implement, test, and maintain features in BigHat&#39;s internally developed, cloud-based LIMS+ platform.</li>\n<li>Work independently on well-scoped features and improvements, following work through implementation, testing, and release.</li>\n<li>Collaborate closely with cross-functional partners (scientists, product owners, and other engineers) to translate real-world lab workflows into reliable software.</li>\n<li>Participate actively in engineering ceremonies, technical discussions, and code reviews.</li>\n<li>Own the quality and outcomes of your work, including debugging, test failures, and production issues.</li>\n</ul>\n<p>This role reports to the Lab Systems Lead and works closely with the Lab Systems Product Owner, with responsibilities that impact teams across BigHat.</p>\n<p>About You:</p>\n<ul>\n<li>You have experience contributing to and owning work in a production software environment.</li>\n<li>You are comfortable working independently on small to medium features and improvements.</li>\n<li>You communicate clearly about progress, risks, and tradeoffs, and collaborate effectively with peers and partners.</li>\n<li>You take ownership of your work and follow issues through to resolution.</li>\n<li>You are curious and motivated by building software that supports real users doing complex work.</li>\n</ul>\n<p>Experience:</p>\n<ul>\n<li>3–5 years of professional software engineering experience building production systems OR 2+ years of professional software engineering experience with prior experience in biotech, life sciences, laboratory environments, or scientific software, where domain knowledge meaningfully accelerates impact.</li>\n</ul>\n<p>Relevant Tech / Skills:</p>\n<ul>\n<li>Experience with some (not necessarily all) of the following: TypeScript, React, Material-UI, Vega, Python 3, SQLAlchemy, RESTful API design, AWS (CDK, Lambda, Step Functions, ECS/Batch, Fargate, API Gateway, Athena), relational databases (e.g., PostgreSQL), Pandas, PyTorch or other ML frameworks (nice to have, not required).</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>The salary estimated for this position is $135,000 - $175,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.</li>\n<li>Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)</li>\n<li>Dental, and vision coverage through Guardian</li>\n<li>Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more</li>\n<li>401(k) with company match</li>\n<li>DTO, two weeks of company-wide shutdown, and 12 company holidays</li>\n<li>Paid parental leave</li>\n</ul>\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_608305cb-5a6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bighatbiosciences","sameAs":"https://bighat.bio/","logo":"https://logos.yubhub.co/bighat.bio.png"},"x-apply-url":"https://bighatbiosciences.pinpointhq.com/en/postings/9c33a0d3-782d-4e9e-9b3c-6609cb47f704","x-work-arrangement":"Hybrid","x-experience-level":"mid","x-job-type":"full time","x-salary-range":"$135,000 - $175,000 + bonus + options + benefits","x-skills-required":["TypeScript","React","Material-UI","Vega","Python 3","SQLAlchemy","RESTful API design","AWS (CDK, Lambda, Step Functions, ECS/Batch, Fargate, API Gateway, Athena)","relational databases (e.g., PostgreSQL)","Pandas","PyTorch or other ML frameworks"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:23:14.395Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Biotechnology","skills":"TypeScript, React, Material-UI, Vega, Python 3, SQLAlchemy, RESTful API design, AWS (CDK, Lambda, Step Functions, ECS/Batch, Fargate, API Gateway, Athena), relational databases (e.g., PostgreSQL), Pandas, PyTorch or other ML frameworks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":135000,"maxValue":175000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_445ba5c8-6f5"},"title":"Research Associate I/II, Production","description":"<p>We are seeking a self-motivated individual for a Research Associate I/II, Production, role to power our high-throughput, automated platform for antibody production and deep molecular characterization.</p>\n<p>Key Responsibilities:</p>\n<p>Perform automated and manual high-throughput processing on the BigHat platform, including DNA preparation, protein expression, and protein characterization.\nContribute to the scaling up of BigHat&#39;s platform and production-grade data generation.\nSupport BigHat&#39;s Platform Reagents &amp; Assay Support (PRAS) function by contributing to in-house reagent manufacturing efforts.\nExecute experiments to optimize the performance efficiency of BigHat&#39;s platform.\nKeep a detailed record of all experiments using BigHat&#39;s documentation tools, and clearly communicate results and challenges.\nCollaborate on the creation of laboratory standard operating procedures (SOPs) for sample processing.\nCollaborate closely with BigHat team members to identify, design, and implement critical process and operational improvements to production workflows and laboratory systems.\nOperate automated liquid handlers and analytical instruments to ensure all lab and platform operations run efficiently.</p>\n<p>Skills, Knowledge &amp; Expertise:</p>\n<p>BS in Biology or Chemistry, with 1+ year(s) of industry experience\nExperience in process execution, laboratory method development, optimization, and troubleshooting.\nHands-on experience with, or interest in, automated liquid handlers (e.g. Hamilton, OpenTrons, Tecan, Agilent systems).\nExperience with molecular biology techniques and general lab practices.\nEfficient time management and ability to work on several projects simultaneously, in a dynamic start-up environment.\nStrong interpersonal skills and ability to effectively communicate with members of a multidisciplinary team.\nExcellent record keeping abilities to document experimental work and analytical data.\nNice-to-haves include previous experience working with barcoding systems, inventory tracking, and experience with Google Workspace tools (Docs, Sheets, Slides, etc.).</p>\n<p>Benefits:\nThe salary estimated for this position is $75,000 - $105,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.\nRange of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)\nDental, and vision coverage through Guardian\nAdditional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more\n401(k) with company match\nDTO, two weeks of company-wide shutdown, and 12 company holidays\nPaid parental leave</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_445ba5c8-6f5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bighatbiosciences","sameAs":"https://bighat.bio/","logo":"https://logos.yubhub.co/bighat.bio.png"},"x-apply-url":"https://bighatbiosciences.pinpointhq.com/en/postings/3c09a4fc-fafa-4483-a073-43a26b9d8568","x-work-arrangement":"On-site","x-experience-level":"entry","x-job-type":"full time","x-salary-range":"$75,000 - $105,000 + bonus + options + benefits","x-skills-required":["BS in Biology or Chemistry","automated liquid handlers","molecular biology techniques","general lab practices","efficient time management"],"x-skills-preferred":["barcoding systems","inventory tracking","Google Workspace tools (Docs, Sheets, Slides, etc.)"],"datePosted":"2026-04-17T12:23:04.239Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Research and Development","industry":"Biotechnology","skills":"BS in Biology or Chemistry, automated liquid handlers, molecular biology techniques, general lab practices, efficient time management, barcoding systems, inventory tracking, Google Workspace tools (Docs, Sheets, Slides, etc.)","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":75000,"maxValue":105000,"unitText":"YEAR"}}}]}