{"data":[{"id":"402414","benefits":"\u003cdiv\u003e\u003c!--block--\u003eThe 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.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eWhat BigHat Offers:\u003c/strong\u003e\u003c/div\u003e\u003cul\u003e\u003cli\u003e\u003c!--block--\u003eRange of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDental, and vision coverage through Guardian\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eAdditional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003e401(k) with company match\u0026nbsp;\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDTO, two weeks of company-wide shutdown, and 12 company holidays\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003ePaid parental leave\u003c/li\u003e\u003c/ul\u003e","benefits_header":"Total Rewards","compensation":null,"compensation_minimum":null,"compensation_maximum":null,"compensation_currency":null,"compensation_frequency":null,"compensation_visible":false,"deadline_at":null,"description":"\u003cdiv\u003e\u003c!--block--\u003e\u003cstrong\u003eThe role: \u003c/strong\u003eWe are seeking a creative, accomplished Assoc. Director or Principal Machine Learning Scientist to advance the state of the art in ML-driven therapeutic antibody design.\u003c/div\u003e\u003cdiv\u003e\u003c!--block--\u003e\u003cbr\u003e\u003c/div\u003e\u003cdiv\u003e\u003c!--block--\u003eAt BigHat Biosciences our full-stack antibody drug development platform uses ML 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. This makes the development of complex, next-gen therapeutics ‘trivially parallelizable’, at a pace which only accelerates as we develop better ML tooling.\u003c/div\u003e\u003cdiv\u003e\u003c!--block--\u003e\u003cbr\u003e\u003c/div\u003e\u003cdiv\u003e\u003c!--block--\u003eYou’re not interested in just git-cloning the latest NeurIPS pub and swapping out the dataset. Motivated by an enthusiasm for the possibility of addressing unmet patient needs and a curiosity about the underlying biology, you’ll apply your world-class ML 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 ML research, and actively participating in the application of our platform to the accelerated design of new therapeutics.\u003c/div\u003e","employment_type":"full_time","employment_type_text":"Full Time","key_responsibilities":"\u003cul\u003e\u003cli\u003e\u003c!--block--\u003eDesign 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.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eProvide leadership, technical guidance, and mentorship to other ML and data science FTEs and interns.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eHelp set strategy for future ML research, driven by a strong high-level understanding of BigHat programs and operations as well as real-world drug development challenges.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDevelop, refine, and deploy \u003cem\u003ede novo\u003c/em\u003e design methods for generating initial hits to challenging, therapeutically interesting targets.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDevelop 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.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eMaintain an in-depth understanding of the current state-of-the-art in ML-driven protein engineering, both in the literature and at BigHat.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eShare your findings at top-tier conferences and publish in leading scientific journals to advance the field of protein engineering.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eProvide ML expertise and support for ongoing therapeutics programs, directly contributing to the development of new drugs.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eCollaborate with our engineering team to ensure maximal efficiency in the automated and agentic deployment of our latest models to our therapeutics programs.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eWork 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 ML methods development accordingly.\u003c/li\u003e\u003c/ul\u003e","key_responsibilities_header":"Key Responsibilities","reporting_to":"Hunter Elliot","skills_knowledge_expertise":"\u003cul\u003e\u003cli\u003e\u003c!--block--\u003ePhD in ML/CS or in the hard sciences with 5+ years experience post-graduation in developing and applying novel ML methods, and a strong quantitative background.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003ePublications in major ML conferences and/or leading journals, and an extensive demonstrable track record developing and applying novel ML in industry.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eStrong competency in Python, familiarity with PyTorch, and experience with modern software engineering best practices.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eExcellent communication skills, sufficient biomedical domain knowledge to interact effectively with diverse scientific teams.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eEnjoys a fast-paced environment and excels at executing across multiple projects.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eFamiliarity with the current state-of-the-art in ML-driven protein engineering\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eNice-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.\u003c/li\u003e\u003c/ul\u003e","skills_knowledge_expertise_header":"Skills Knowledge and Expertise","title":"Associate Director/Principal, Machine Learning Scientist","url":"https://bighatbiosciences.pinpointhq.com/en/postings/f4448727-74af-40b7-8c4c-120b5b1a2e25","path":"/en/postings/f4448727-74af-40b7-8c4c-120b5b1a2e25","workplace_type":"hybrid","workplace_type_text":"Hybrid","job":{"id":"413692","requisition_id":"","department":{"id":"5288","name":"DS/ML (Data Science/Machine Learning)"},"division":null,"structure_custom_group_one":null},"location":{"id":"1570","city":"San Mateo","name":"San Mateo, CA","postal_code":"94403","province":"CA"}},{"id":"443858","benefits":"\u003cdiv\u003e\u003c!--block--\u003eThe salary estimated for this position is $135,000 - $175,000 + bonus + options + benefits. 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Actual compensation will be confirmed in writing at the time of the offer.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eWhat BigHat Offers:\u003c/strong\u003e\u003c/div\u003e\u003cul\u003e\u003cli\u003e\u003c!--block--\u003eRange of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDental, and vision coverage through Guardian\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eAdditional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003e401(k) with company match\u0026nbsp;\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDTO, two weeks of company-wide shutdown, and 12 company holidays\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003ePaid parental leave\u003c/li\u003e\u003c/ul\u003e\u003cdiv\u003e\u003c!--block--\u003e\u003cbr\u003e\u003c/div\u003e","benefits_header":"Total Rewards","compensation":null,"compensation_minimum":null,"compensation_maximum":null,"compensation_currency":null,"compensation_frequency":null,"compensation_visible":false,"deadline_at":null,"description":"\u003cdiv\u003e\u003c!--block--\u003e\u003cstrong\u003eThe role: \u003c/strong\u003eBigHat Biosciences is looking for a Software Engineer to join our Lab Systems team. 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. 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.\u003cbr\u003e\u003cbr\u003e\u003c/div\u003e\u003cdiv\u003e\u003c!--block--\u003eDepending on experience and demonstrated impact, this role may be leveled as Software Engineer I (SWE I) or Software Engineer II (SWE II). Candidates with prior experience in biotech, life sciences, or scientific software may be considered with fewer total years of software engineering experience.\u003c/div\u003e","employment_type":"full_time","employment_type_text":"Full Time","key_responsibilities":"\u003cul\u003e\u003cli\u003e\u003c!--block--\u003eDesign, implement, test, and maintain features in BigHat’s internally developed, cloud-based LIMS+ platform.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eWork independently on well-scoped features and improvements, following work through implementation, testing, and release.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eCollaborate closely with cross-functional partners (scientists, product owners, and other engineers) to translate real-world lab workflows into reliable software.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eParticipate actively in engineering ceremonies, technical discussions, and code reviews.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eOwn the quality and outcomes of your work, including debugging, test failures, and production issues.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eContinue developing technical depth in the codebase, infrastructure, and systems that support our applications.\u003c/li\u003e\u003c/ul\u003e\u003cdiv\u003e\u003c!--block--\u003eThis role reports to the Lab Systems Lead and works closely with the Lab Systems Product Owner, with responsibilities that impact teams across BigHat.\u003c/div\u003e","key_responsibilities_header":"Key Responsibilities","reporting_to":"","skills_knowledge_expertise":"\u003cul\u003e\u003cli\u003e\u003c!--block--\u003eBuild high-quality software across front-end (UI/UX) and back-end systems, aligned with product and user needs.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eRead and understand PRDs and technical designs, contributing questions and implementation ideas.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eWrite and maintain automated tests to ensure correctness, reliability, and maintainability.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eParticipate constructively in code reviews; at the SWE II level, regularly review others’ code and provide thoughtful feedback.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDebug and troubleshoot complex issues in production and development environments.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eContribute to improving internal engineering practices, documentation, and tooling.\u003c/li\u003e\u003c/ul\u003e\u003cdiv\u003e\u003c!--block--\u003e\u003cstrong\u003eAbout You\u003c/strong\u003e\u003c/div\u003e\u003cul\u003e\u003cli\u003e\u003c!--block--\u003eYou have experience contributing to and owning work in a production software environment.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eYou are comfortable working independently on small to medium features and improvements.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eYou communicate clearly about progress, risks, and tradeoffs, and collaborate effectively with peers and partners.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eYou take ownership of your work and follow issues through to resolution.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eYou are curious and motivated by building software that supports real users doing complex work.\u003c/li\u003e\u003c/ul\u003e\u003ch3\u003e\u003c!--block--\u003e\u003cstrong\u003eExperience\u003c/strong\u003e\u003c/h3\u003e\u003cul\u003e\u003cli\u003e\u003c!--block--\u003e3–5 years of professional software engineering experience building production systems\u003cbr\u003e\u0026nbsp;OR\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003e2+ years of professional software engineering experience with prior experience in biotech, life sciences, laboratory environments, or scientific software, where domain knowledge meaningfully accelerates impact.\u003c/li\u003e\u003c/ul\u003e\u003cdiv\u003e\u003c!--block--\u003e\u003cstrong\u003eRelevant Tech / Skills\u003c/strong\u003e\u003c/div\u003e\u003cdiv\u003e\u003c!--block--\u003e\u003cbr\u003eExperience with some (not necessarily all) of the following:\u003c/div\u003e\u003cul\u003e\u003cli\u003e\u003c!--block--\u003eTypeScript, React, Material-UI, Vega\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003ePython 3, SQLAlchemy\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eRESTful API design\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eAWS (CDK, Lambda, Step Functions, ECS/Batch, Fargate, API Gateway, Athena)\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eRelational databases (e.g., PostgreSQL)\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003ePandas\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003ePyTorch or other ML frameworks (nice to have, not required)\u003c/li\u003e\u003c/ul\u003e","skills_knowledge_expertise_header":"Skills Knowledge and Expertise","title":"Software Engineer (SWE I / SWE II)","url":"https://bighatbiosciences.pinpointhq.com/en/postings/9c33a0d3-782d-4e9e-9b3c-6609cb47f704","path":"/en/postings/9c33a0d3-782d-4e9e-9b3c-6609cb47f704","workplace_type":"hybrid","workplace_type_text":"Hybrid","job":{"id":"452341","requisition_id":"","department":{"id":"2755","name":"Engineering"},"division":null,"structure_custom_group_one":null},"location":{"id":"1570","city":"San Mateo","name":"San Mateo, CA","postal_code":"94403","province":"CA"}},{"id":"475751","benefits":"\u003cdiv\u003e\u003c!--block--\u003eThe 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.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eWhat BigHat Offers:\u003c/strong\u003e\u003c/div\u003e\u003cul\u003e\u003cli\u003e\u003c!--block--\u003eRange of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDental, and vision coverage through Guardian\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eAdditional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003e401(k) with company match\u0026nbsp;\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDTO, two weeks of company-wide shutdown, and 12 company holidays\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003ePaid parental leave\u003c/li\u003e\u003c/ul\u003e\u003cdiv\u003e\u003c!--block--\u003e\u003cbr\u003e\u003c/div\u003e","benefits_header":"Total Rewards","compensation":null,"compensation_minimum":null,"compensation_maximum":null,"compensation_currency":null,"compensation_frequency":null,"compensation_visible":false,"deadline_at":null,"description":"\u003cdiv\u003e\u003c!--block--\u003e\u003cstrong\u003eThe Role: \u003c/strong\u003eBigHat is seeking an exceptional and highly experienced individual for a position as Director/Senior Director of Antibody Discovery. This individual will lead the company’s antibody discovery and display function. They will be responsible for 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.\u003c/div\u003e","employment_type":"full_time","employment_type_text":"Full Time","key_responsibilities":"\u003cul\u003e\u003cli\u003e\u003c!--block--\u003eLead BigHat’s antibody discovery and display functions, setting the scientific, technical, and strategic direction\u0026nbsp;\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eOversee 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\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eManage and mentor a team of scientists responsible for antibody library design, generation, screening, selection, and early optimization\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eShape and expand BigHat’s antibody discovery technologies and capabilities, including new display and selection methods, library design strategies, and technical approaches that leverage and enhance the company’s integrated experimental and computational platform\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eProvide scientific leadership across discovery and early optimization efforts, ensuring antibodies emerging from selections possess strong functional and developability characteristics\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eWork closely with leaders in Protein Sciences, Data Science/Machine Learning, Engineering, and Platform groups to ensure seamless progression from discovery through characterization and optimization\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eCollaborate with biology and therapeutic research leads to ensure display outputs align with 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analysis\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDeep understanding of antibody structure-function relationships and mechanisms of antigen recognition\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eExperience integrating antibody discovery workflows with downstream characterization and developability assessment, including functional screening and biophysical evaluation of antibody candidates\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eFamiliarity with computational or ML-enabled approaches to protein design and optimization\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eExperience advancing biologics from early discovery through lead optimization stages\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eKnowledge of diverse antibody modalities including multispecific antibodies, antibody fragments, and other advanced formats\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eStrong leadership skills with experience building and mentoring scientific teams\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eStrategic thinker capable of aligning discovery activities with broader company goals\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eExcellent communication and cross-functional collaboration skills\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eSelf-motivated and comfortable working in a fast-paced startup environment\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eMust be willing to work onsite 5 days per week\u003c/li\u003e\u003c/ul\u003e","skills_knowledge_expertise_header":"Skills Knowledge and Expertise","title":"Director/Senior Director, Antibody Discovery","url":"https://bighatbiosciences.pinpointhq.com/en/postings/d50002c9-77b6-4e95-978c-f35af53fb3d7","path":"/en/postings/d50002c9-77b6-4e95-978c-f35af53fb3d7","workplace_type":"hybrid","workplace_type_text":"Hybrid","job":{"id":"484931","requisition_id":"","department":{"id":"5292","name":"Lab Science"},"division":null,"structure_custom_group_one":null},"location":{"id":"1570","city":"San Mateo","name":"San Mateo, CA","postal_code":"94403","province":"CA"}},{"id":"488983","benefits":"\u003cdiv\u003e\u003c!--block--\u003eThe salary estimated for this position is $75,000 - $105,000 + bonus + options + benefits. 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Actual compensation will be confirmed in writing at the time of the offer.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eWhat BigHat Offers:\u003c/strong\u003e\u003c/div\u003e\u003cul\u003e\u003cli\u003e\u003c!--block--\u003eRange of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDental, and vision coverage through Guardian\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eAdditional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003e401(k) with company match\u0026nbsp;\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDTO, two weeks of company-wide shutdown, and 12 company holidays\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003ePaid parental leave\u003c/li\u003e\u003c/ul\u003e","benefits_header":"Total Rewards","compensation":null,"compensation_minimum":null,"compensation_maximum":null,"compensation_currency":null,"compensation_frequency":null,"compensation_visible":false,"deadline_at":null,"description":"\u003cdiv\u003e\u003c!--block--\u003e\u003cstrong\u003eThe Role:\u003c/strong\u003e BigHat Biosciences is 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.\u003c/div\u003e","employment_type":"full_time","employment_type_text":"Full Time","key_responsibilities":"\u003cul\u003e\u003cli\u003e\u003c!--block--\u003ePerform automated and manual high-throughput processing on the BigHat platform, including DNA preparation, protein expression, and protein characterization.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eContribute to the scaling up of BigHat’s platform and production-grade data generation.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eSupport BigHat’s Platform Reagents \u0026amp; Assay Support (PRAS) function by contributing to in-house reagent manufacturing efforts.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eExecute experiments to optimize the performance efficiency of BigHat’s platform.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eKeep a detailed record of all experiments using BigHat’s documentation tools, and clearly communicate results and challenges.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eCollaborate on the creation of laboratory standard operating procedures (SOPs) for sample processing.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eCollaborate closely with BigHat team members to identify, design, and implement critical process and operational improvements to production workflows and laboratory systems.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eOperate automated liquid handlers and analytical instruments to ensure all lab and platform operations run efficiently.\u003c/li\u003e\u003c/ul\u003e","key_responsibilities_header":"Key Responsibilities","reporting_to":"","skills_knowledge_expertise":"\u003cul\u003e\u003cli\u003e\u003c!--block--\u003eBS in Biology or Chemistry, with 1+ year(s) of industry experience\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eExperience in process execution, laboratory method development, optimization, and troubleshooting.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eHands-on experience with, or interest in, automated liquid handlers (e.g. Hamilton, OpenTrons, Tecan, Agilent systems). 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Actual compensation will be confirmed in writing at the time of the offer.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eWhat BigHat Offers:\u003c/strong\u003e\u003c/div\u003e\u003cul\u003e\u003cli\u003e\u003c!--block--\u003eRange of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDental, and vision coverage through Guardian\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eAdditional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003e401(k) with company match\u0026nbsp;\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDTO, two weeks of company-wide shutdown, and 12 company holidays\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003ePaid parental leave\u003c/li\u003e\u003c/ul\u003e","benefits_header":"Total Rewards","compensation":null,"compensation_minimum":null,"compensation_maximum":null,"compensation_currency":null,"compensation_frequency":null,"compensation_visible":false,"deadline_at":null,"description":"\u003cdiv\u003e\u003c!--block--\u003e\u003cstrong\u003eThe role: \u003c/strong\u003eBigHat Bioscience is looking for a motivated and energetic Senior Research Associate* with a strong background in Immunology, cell culture, flow cytometry and primary cell-based assays to support the characterization of our lead therapeutic candidates.\u003c/div\u003e\u003cdiv\u003e\u003c!--block--\u003e\u003cbr\u003e\u003c/div\u003e\u003cdiv\u003e\u003c!--block--\u003e\u003cem\u003e*At BigHat we believe in titles that commensurate with skill set, relative organizational impact, and value contribution; 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Actual compensation will be confirmed in writing at the time of the offer.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eWhat BigHat Offers:\u003c/strong\u003e\u003c/div\u003e\u003cul\u003e\u003cli\u003e\u003c!--block--\u003eRange of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDental, and vision coverage through Guardian\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eAdditional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003e401(k) with company match\u0026nbsp;\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDTO, two weeks of company-wide shutdown, and 12 company holidays\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003ePaid parental leave\u003c/li\u003e\u003c/ul\u003e","benefits_header":"Total Rewards","compensation":null,"compensation_minimum":null,"compensation_maximum":null,"compensation_currency":null,"compensation_frequency":null,"compensation_visible":false,"deadline_at":null,"description":"\u003cdiv\u003e\u003c!--block--\u003e\u003cstrong\u003eThe role: \u003c/strong\u003eBigHat is looking for an energetic and motivated individual to lead cell line engineering as a core Platform capability in support of our pipeline Discovery and early R\u0026amp;D efforts. 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Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eWhat BigHat Offers:\u003c/strong\u003e\u003c/div\u003e\u003cul\u003e\u003cli\u003e\u003c!--block--\u003eRange of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDental, and vision coverage through Guardian\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eAdditional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003e401(k) with company match\u0026nbsp;\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDTO, two weeks of company-wide shutdown, and 12 company holidays\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003ePaid parental leave\u003c/li\u003e\u003c/ul\u003e","benefits_header":"Total Rewards","compensation":null,"compensation_minimum":null,"compensation_maximum":null,"compensation_currency":null,"compensation_frequency":null,"compensation_visible":false,"deadline_at":null,"description":"\u003cdiv\u003e\u003c!--block--\u003e\u003cstrong\u003eThe role: \u003c/strong\u003eBigHat Biosciences is seeking a curious and motivated Associate Scientist to join the Display Technologies team. 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Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eWhat BigHat Offers:\u003c/strong\u003e\u003c/div\u003e\u003cul\u003e\u003cli\u003e\u003c!--block--\u003eRange of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDental, and vision coverage through Guardian\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eAdditional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003e401(k) with company match\u0026nbsp;\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eDTO, two weeks of company-wide shutdown, and 12 company holidays\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003ePaid parental leave\u003c/li\u003e\u003c/ul\u003e","benefits_header":"Total Rewards","compensation":null,"compensation_minimum":null,"compensation_maximum":null,"compensation_currency":null,"compensation_frequency":null,"compensation_visible":false,"deadline_at":null,"description":"\u003cdiv\u003e\u003c!--block--\u003eThe Role: BigHat Biosciences is looking for a hands-on, bench-driven scientist to drive antibody developability assessments that advance our Milliner Platform for AI-designed therapeutics. 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Experience with CFPS is highly desired but not required.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eExperience with molecular cloning techniques including primer design, PCR, mutagenesis, Golden Gate Assembly.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003ePreferred: Experience and knowledge of protein purification methods including affinity chromatography and SEC.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eExcellent communication skills; organized and works well in small groups.\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eExperience with quantitative and/or statistical analysis software is a plus (e.g. Excel, GraphPad Prism, Python, R, etc.)\u003c/li\u003e\u003cli\u003e\u003c!--block--\u003eExperience with automation and high-throughput tools and robotic instrumentation is a plus.\u003c/li\u003e\u003c/ul\u003e","skills_knowledge_expertise_header":"Skills Knowledge and Expertise","title":"Research Associate I, CFPS Production","url":"https://bighatbiosciences.pinpointhq.com/en/postings/26224083-090e-4ce8-8d61-c09ab4ab7a38","path":"/en/postings/26224083-090e-4ce8-8d61-c09ab4ab7a38","workplace_type":"onsite","workplace_type_text":"Onsite","job":{"id":"533137","requisition_id":"","department":{"id":"5292","name":"Lab Science"},"division":null,"structure_custom_group_one":null},"location":{"id":"1570","city":"San Mateo","name":"San Mateo, CA","postal_code":"94403","province":"CA"}}]}