{"data":{"company":{"name":"Bighatbiosciences","slug":"bighatbiosciences","logo_url":"https://logos.yubhub.co/bighat.bio.png","canonical_domain":"bighat.bio","editorial":null,"wikidata_id":null,"founded":null,"ceo":null,"founders":[],"hq_location":null,"industry":null,"employee_count":null,"official_website":null,"wikipedia_url":null,"stock_ticker":null,"stock_price":null,"market_cap":null,"revenue":null,"ipo_date":null,"sector":null,"full_time_employees":null,"company_description":null,"twitter_username":null,"linkedin_id":null,"instagram_username":null,"facebook_id":null,"parent_org":null,"country":null,"github_org":null,"github_public_repos":null,"github_followers":null,"github_verified":0,"github_description":null,"github_location":null,"github_blog":null,"github_twitter":null,"stock_exchange":null,"stock_beta":null,"stock_range":null,"stock_is_actively_trading":null,"fmp_image":null,"fmp_address":null,"fmp_city":null,"fmp_state":null,"fmp_country":null,"recent_news":[],"search_interest_index":null,"search_interest_trend":null,"wikipedia_monthly_views":null,"hn_mention_count":null,"hn_top_stories":[],"wayback_first_year":null,"sec_incorporation_state":null,"sec_latest_filing_type":null,"sec_latest_filing_date":null,"sec_filings":[],"research_papers_count":null,"research_citations_count":null,"research_h_index":null,"research_topics":[],"is_federal_contractor":null,"earnings_calendar":[],"industry_canonical":null,"enrichment_sources":[],"last_enriched_at":null},"hiring":{"total_jobs":10,"categories":[{"category":"engineering","count":4},{"category":"lab 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Scientist","count":1}],"locations":[{"location":"san mateo, ca","count":10}],"skills":[{"skill":"Flow Cytometry","required":2,"preferred":0,"total":2},{"skill":"Automation","required":0,"preferred":2,"total":2},{"skill":"Strong Competency In Python","required":1,"preferred":0,"total":1},{"skill":"Familiarity With PyTorch","required":1,"preferred":0,"total":1},{"skill":"Experience With Modern Software Engineering Best Practices","required":1,"preferred":0,"total":1},{"skill":"De Novo Design","required":0,"preferred":1,"total":1},{"skill":"NGS Data","required":0,"preferred":1,"total":1},{"skill":"Bayesian Optimization","required":0,"preferred":1,"total":1},{"skill":"Familiarity With Antibody Biology And Drug Development","required":0,"preferred":1,"total":1},{"skill":"Experience Training And Deploying Models On AWS","required":0,"preferred":1,"total":1},{"skill":"8+ Years Of Managerial Experience Leading Scientific 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Operations","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/738f95b8-1977-4087-904e-5b21e60166fc","location":"San Mateo, CA","job_type":"full time","experience_level":"senior","work_arrangement":"hybrid","category":"Operations","description":"<p>We are seeking an experienced and motivated Clinical Operations Lead to join our drug development team, focusing on early-stage clinical development of biologic drugs in oncology and inflammatory diseases.</p>\n<p>As the Director and Lead of Clinical Operations, you will oversee the design, execution, and management of clinical trials, ensuring alignment with corporate objectives and regulatory requirements. You will lead a high-performing clinical operations function, develop strategies to accelerate development timelines, and establish best practices for trial execution.</p>\n<h3>Key Responsibilities</h3>\n<h4>Leadership &amp; Strategy</h4>\n<ul>\n<li>Develop and execute clinical operational strategies to advance biologics for oncology and inflammatory diseases from early-phase trials to regulatory approval.</li>\n<li>Collaborate with cross-functional teams (e.g., R&amp;D, Regulatory, CMC, Translational Biomarkers) to align clinical strategies with overall company goals.</li>\n<li>Provide insights into trial design, site selection, and patient recruitment strategies.</li>\n<li>Serve as a key point of contact for internal and external stakeholders, including investigators, regulators, and partners; prepare for and support regulatory interactions and inspections.</li>\n</ul>\n<h4>Clinical Trial Execution</h4>\n<ul>\n<li>Lead the planning, initiation, and management of clinical trials (Phase I–III), ensuring they are conducted on time, within budget, and in compliance with global regulatory standards (ICH-GCP, FDA, EMA) and company SOPs.</li>\n<li>Oversee vendor selection and management, including CROs, labs, and other external partners; conduct and manage CRO site monitoring activities to ensure protocol adherence and data integrity.</li>\n<li>Monitor trial progress, manage risks, and resolve operational challenges efficiently.</li>\n<li>Oversee clinical site-side sample management, including collection, processing, storage, and shipment of biological samples in alignment with protocol requirements and chain-of-custody standards.</li>\n</ul>\n<h4>Translational Biomarker Support</h4>\n<ul>\n<li>Partner closely with the Translational Biomarker team to ensure clinical operations infrastructure supports biomarker sample collection, handling, and logistics across all trial sites.</li>\n<li>Coordinate with sites and CROs to ensure biomarker sampling plans are implemented correctly and that sample quality and completeness meet program requirements.</li>\n</ul>\n<h4>Data Management and Quality</h4>\n<ul>\n<li>Oversee clinical data management activities, including data completeness, quality review, and timely query resolution to ensure high-quality, audit-ready datasets.</li>\n<li>Implement and maintain data quality management processes in collaboration with data management and biostatistics partners.</li>\n</ul>\n<h4>Clinical Document Generation</h4>\n<ul>\n<li>Coordinate cross-functional input and review cycles to deliver complete, high-quality documentation.</li>\n</ul>\n<h4>Budget and Resource Management</h4>\n<ul>\n<li>Develop and manage clinical operations budgets, ensuring cost-effective resource allocation.</li>\n<li>Optimize timelines and resources to meet critical milestones and deliverables.</li>\n</ul>\n<h3>Skills, Knowledge &amp; Expertise</h3>\n<ul>\n<li>Advanced degree in life sciences, pharmacy, or a related field (PhD, MD, PharmD preferred).</li>\n<li>10+ years of experience in clinical operations, with a strong track record in oncology and/or inflammatory diseases.</li>\n<li>Experience leading operational aspects of early-phase clinical trials in the biotech or pharmaceutical industry.</li>\n<li>Demonstrated ability to build and lead teams in a dynamic, startup environment.</li>\n<li>In-depth knowledge of ICH-GCP guidelines, FDA/EMA regulations, and global clinical trial processes.</li>\n<li>Proven experience in vendor management, CRO oversight, budget management, and trial risk management.</li>\n<li>Experience in clinical site-side sample management and biomarker program support.</li>\n<li>Familiarity with data management principles and data quality oversight in clinical trials.</li>\n<li>Experience managing the generation of clinical documents across the trial lifecycle.</li>\n<li>Exceptional communication, leadership, and problem-solving skills.</li>\n<li>Experience in oncology, inflammatory diseases, and/or molecularly targeted therapies.</li>\n</ul>\n<h3>Benefits</h3>\n<p>The salary estimated for this position is $275,000 - $295,000 + 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>","enriched_at":1784383437122},{"id":"job_86fcb5cf-e09","title":"Research Associate I, Platform Reagents & Assay Support","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/80aadf6d-0748-4fe4-976b-f48e558b21ea","location":"San Mateo, CA","job_type":"full time","experience_level":"entry","work_arrangement":"onsite","category":"Laboratory","description":"<p>BigHat Biosciences is seeking a self-motivated individual for a Research Associate I, Platform Reagents &amp; Assay Support (PRAS), role to power its in-house reagent manufacturing and QC efforts.</p>\n<h3>Key Responsibilities</h3>\n<ul>\n<li>Execute automated and manual high-throughput reagent manufacturing and QC workflows to support data generation across BigHat&#39;s production assay suite.</li>\n<li>Maintain detailed records of all reagent lot manufacturing and QC events using BigHat&#39;s documentation tools, and clearly communicate results and challenges.</li>\n<li>Contribute to reagent lot performance monitoring, and assist with troubleshooting efforts as needed.</li>\n<li>Collaborate on creating laboratory standard operating procedures (SOPs) for reagent manufacturing and QC.</li>\n<li>Work closely with BigHat team members to identify, design, and implement critical process and operational improvements to workflows and laboratory systems.</li>\n<li>Operate automated liquid handlers and analytical instruments to ensure efficient lab and platform operations.</li>\n</ul>\n<h3>Skills, Knowledge &amp; Expertise</h3>\n<ul>\n<li>BS in Biology or Chemistry, with 1+ year of industry experience.</li>\n<li>Experience in reagent manufacturing and quality control, process execution, and troubleshooting.</li>\n<li>Hands-on experience with automated liquid handlers (e.g., Hamilton, OpenTrons, Tecan, Agilent systems) and LIMS (nice-to-have).</li>\n<li>Familiarity with molecular biology techniques and general lab practices.</li>\n<li>Efficient time management and ability to work on multiple projects simultaneously in a dynamic start-up environment.</li>\n<li>Strong interpersonal skills and effective communication with multidisciplinary team members.</li>\n<li>Excellent record-keeping abilities for documenting experimental work and analytical data.</li>\n<li>Previous experience with barcoding systems, automated tube/plate labelers, inventory tracking, and Google Workspace tools (nice-to-haves).</li>\n</ul>\n<h3>Benefits</h3>\n<ul>\n<li>Salary estimated at $75,000 - $88,000 + bonus + options + benefits.</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>","enriched_at":1784027511156},{"id":"job_dcb2e4d3-a98","title":"Senior Software Engineer","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/3d8a673c-ce70-4d47-8175-2439a0b75061","location":"San Mateo, CA","job_type":"full time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>BigHat Biosciences is looking for a Senior Software Engineer to join their engineering team. This role involves owning a significant area of their platform, leading epics end-to-end, and shaping the architecture and engineering practices.</p>\n<p>The ideal candidate will have 7+ years of professional software engineering experience building and owning production systems, or 5+ years of experience with prior experience in biotech, life sciences, laboratory environments, or scientific software.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Lead projects end-to-end, from PRD through implementation, testing, release, and validation against the customer success metric.</li>\n<li>Own one or more major areas of BigHat&#39;s internally developed, cloud-based platform as a subject-matter expert.</li>\n<li>Take on net-new, 0-to-1 work from specification, designing interactions between features and the infrastructure that supports them.</li>\n<li>Collaborate with scientists and product owners to translate real-world lab workflows into reliable software.</li>\n<li>Operate and run engineering processes, including PRD reviews, stand-ups, PR approvals, and other team ceremonies.</li>\n<li>Own the quality and outcomes of your work and your epics, including debugging, test failures, and production issues.</li>\n<li>Drive technical depth across the codebase, infrastructure, and systems, and actively improve the design and architectural principles the team works within.</li>\n<li>Design and build high-quality software across front-end (UI/UX) and back-end systems.</li>\n<li>Lead and review technical designs and PRDs; contribute architectural direction and surface risks and tradeoffs early.</li>\n<li>Write, maintain, and raise the bar on automated testing to ensure correctness, reliability, and maintainability.</li>\n<li>Run code reviews as a routine approver, providing thoughtful, high-leverage feedback that develops other engineers.</li>\n<li>Diagnose and resolve complex issues across production and development environments.</li>\n<li>Improve internal engineering practices, documentation, tooling, and architecture.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Salary estimated for this position is $198,000 - $215,000 + bonus + options + benefits.</li>\n<li>Range of health insurance plan options through Anthem and Kaiser.</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>","enriched_at":1782353838680},{"id":"job_cdffb730-d6b","title":"Research Associate I, CFPS Production","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/26224083-090e-4ce8-8d61-c09ab4ab7a38","location":"San Mateo, CA","job_type":"full time","experience_level":"entry","work_arrangement":"onsite","category":"Lab Science","description":"<p>BigHat Biosciences is seeking a self-motivated individual for a Research Associate, CFPS Production role to manufacture, validate and execute experiments to develop cell-free protein synthesis (CFPS) reagents for BigHat’s high-throughput, automated platform for producing and characterizing antibodies.</p>\n<h3>Key Responsibilities</h3>\n<ul>\n<li>Manufacture and validate CFPS reagents used in BigHat’s high-throughput antibody screening platform including making buffers, media for biomass production and performing QC experiments on reagents.</li>\n<li>Maintain CFPS reagent manufacturing equipment including incubators, centrifuges, and homogenizers.</li>\n<li>Coordinate with lab ops team to request/order supplies for CFPS reagent manufacturing to ensure reliable stock for platform.</li>\n<li>Design and run experiments for development of next generation CFPS extract to optimize yield and purity of next generation antibodies on our platform.</li>\n<li>Keep a detailed record of all experiments using BigHat’s documentation tools, and clearly communicate results and challenges.</li>\n<li>Present experimental plans and results during regular meetings with manager and science teams.</li>\n</ul>\n<h3>Skills, Knowledge &amp; Expertise</h3>\n<ul>\n<li>B.S. degree in Biochemistry, Molecular Biology, or related field with 1-2 years of industry experience.</li>\n<li>Experience working with recombinant protein expression from bacterial cultures. Experience with CFPS is highly desired but not required.</li>\n<li>Experience with molecular cloning techniques including primer design, PCR, mutagenesis, Golden Gate Assembly.</li>\n<li>Preferred: Experience and knowledge of protein purification methods including affinity chromatography and SEC.</li>\n<li>Excellent communication skills; organized and works well in small groups.</li>\n<li>Experience with quantitative and/or statistical analysis software is a plus (e.g. Excel, GraphPad Prism, Python, R, etc.)</li>\n<li>Experience with automation and high-throughput tools and robotic instrumentation is a plus.</li>\n</ul>\n<h3>Benefits</h3>\n<p>The salary estimated for this position is $75,000 - $88,000 + 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>","enriched_at":1781789340816},{"id":"job_54ec5545-771","title":"Scientist II, Developability","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/da57d3d6-24a9-4df8-857e-2e0fb6ce2205","location":"San Mateo, CA","job_type":"full time","experience_level":"senior","work_arrangement":"onsite","category":"Lab Science","description":"<p>BigHat Biosciences is seeking a hands-on Scientist II, Developability to drive antibody developability assessments. You will spend most of your time at the bench executing and innovating on developability workflows.</p>\n<h4>Key Responsibilities</h4>\n<ul>\n<li>Design, optimize, and execute high-throughput developability assays to expand BigHat&#39;s toolkit.</li>\n<li>Drive developability assessments across programs, focusing on data interpretation and organization.</li>\n<li>Support late-stage characterization and IND-enabling studies, including formulation screening and simulated administration studies.</li>\n<li>Serve as the Developability lead within project teams, guiding experimental strategy.</li>\n<li>Work cross-functionally to automate methods, train colleagues, and adapt workflows to existing LIMS infrastructure.</li>\n<li>Analyze data, interpret scientific findings, and propose next steps.</li>\n</ul>\n<h4>Skills, Knowledge &amp; Expertise</h4>\n<ul>\n<li>PhD in Biochemistry or a relevant discipline with 3+ years of industry experience.</li>\n<li>Strong background in biophysical and analytical characterization of antibodies and antibody fragments.</li>\n<li>Experience with protein structures and antibody engineering.</li>\n<li>Track record of translating complex data into clear results and recommended actions.</li>\n<li>Enthusiastic about learning and onboarding new technologies.</li>\n</ul>\n<h4>Benefits</h4>\n<ul>\n<li>Salary estimated at $145,000 - $165,000 + bonus + options + benefits.</li>\n<li>Range of health insurance plan options.</li>\n<li>Dental and vision coverage.</li>\n<li>Additional well-being benefits.</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>","enriched_at":1781789117376},{"id":"job_cf1d9a09-3b3","title":"Associate Scientist, Display Technologies","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/3167efbf-ec44-4115-823c-53afd3fefdb5","location":"San Mateo, CA","job_type":"full time","experience_level":"mid","work_arrangement":"onsite","category":"Engineering","description":"<p>The role: We are seeking a curious and motivated Associate Scientist to join the Display Technologies team. This individual will contribute to our antibody discovery and engineering efforts and help generate high-quality data to improve our machine learning models using display technologies, working closely with senior scientists and cross-functional teams.</p>\n<p>Key Responsibilities:</p>\n<p>Support R&amp;D projects advancing display technologies at BigHat that expands our antibody discovery capabilities and feed our ML models.</p>\n<p>Lead in the construction and QC of phage and yeast display libraries across diverse antibody formats (VHH, scFv, Fab) using standard molecular biology techniques (PCR, molecular cloning, electroporation).</p>\n<p>Execute phage and yeast display selections using naive and affinity and stability maturation libraries to discover and engineer antibodies with desired therapeutic properties.</p>\n<p>Express, purify, and characterize display-derived molecules using assays including ELISA, flow cytometry, BLI/SPR, CE-SDS, and others.</p>\n<p>Analyse selection results and contribute to discussions on next steps and future experimental design.</p>\n<p>Collaborate with our Data Science and Machine Learning teams to inform library design and interpret selection data for model training.</p>\n<p>Present experimental plans and results during regular meetings with manager and science teams.</p>\n<p>Maintain thorough records using LIMS and electronic notebooks.</p>\n<p>Benefits: The salary estimated for this position is $120,000 - $135,000 + 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<p>Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)</p>\n<p>Dental, and vision coverage through Guardian</p>\n<p>Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more</p>\n<p>401(k) with company match</p>\n<p>DTO, two weeks of company-wide shutdown, and 12 company holidays</p>\n<p>Paid parental leave</p>","enriched_at":1781118554574},{"id":"job_b581ff3b-f6c","title":"Scientist II, Cell Line Engineering","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/c8185f0d-3d1e-4bdf-8bf6-53ac0517adae","location":"San Mateo, CA","job_type":"full time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>The role: BigHat 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&amp;D efforts.</p>\n<p>This is a lab-based role that will report directly to the Head of Protein Sciences, work cross-functionally with Programs and Discovery, and directly impact the identification and validation of next-generation biotherapeutics engineered on the Milliner Platform.</p>\n<p>Onboard all the core components necessary for engineering cell lines for expressing pipeline targets including expression vectors, gene delivery methods, selective antibiotic concentration determination protocols, expression validation and cell sorting capabilities.</p>\n<p>Culture and maintain a variety of cell types; generate diverse target cell lines including knock-outs, stable cell lines overexpressing one or more targets, and reporter cell lines.</p>\n<p>Perform the validation of cell line expression using flow and sequencing (Sanger or NGS) based methods.</p>\n<p>Generate bulk pool and single cell populations utilizing FACS to select for cell lines of various expression levels.</p>\n<p>Maintain an organized cell line inventory with all relevant documentation.</p>\n<p>Investigate target expression biology to recapitulate the most native conditions for expression.</p>\n<p>Work with end-user stakeholders to confirm correct domain expression and associated sequences.</p>\n<p>In collaboration with end-user stakeholders, establish the workflows, timelines, and deliverables for cell line engineering from request to hand-off.</p>\n<p>Collaborate with automation engineers to automate routine cell culture workflows to increase efficiencies and throughput.</p>\n<p>Benefits: The salary estimated for this position is $145,000 - $165,000 + bonus + options + benefits.</p>\n<p>What BigHat Offers:</p>\n<p>Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)</p>\n<p>Dental, and vision coverage through Guardian</p>\n<p>Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more</p>\n<p>401(k) with company match</p>\n<p>DTO, two weeks of company-wide shutdown, and 12 company holidays</p>\n<p>Paid parental leave</p>","enriched_at":1780672260322},{"id":"job_417e72af-a08","title":"Senior Research Associate, Discovery Medicine","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/5a57e4d0-a767-497c-a832-1a7b3f883360","location":"San Mateo, CA","job_type":"full time","experience_level":"senior","work_arrangement":"onsite","category":"Research and Development","description":"<p>The role: We are 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.</p>\n<p>Key Responsibilities: Drive the development of therapeutics by owning the functional characterization of therapeutic candidates. Plan, execute, and analyze TDCC, T cell activation, cytokine release, FACS, ELISA, ADCC, and other relevant functional assays. Perform isolation and culture of primary immune cells from blood or tissue. Inform program plans based upon experimental results and make relevant recommendations for program conceptualization and advancement. Keep detailed and organized records of experimental protocols and results. Proactively and independently interpret and present scientific findings. Collaborate and communicate across a diverse research team to successfully progress scientific goals.</p>\n<p>Benefits: The salary estimated for this position is $100,000 - $115,000 + 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: Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived) 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>","enriched_at":1780402248615},{"id":"job_3bf102f8-b63","title":"Associate Director/Principal, Machine Learning Scientist","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/f4448727-74af-40b7-8c4c-120b5b1a2e25","location":"San Mateo, CA","job_type":"full time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","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<h3>Key Responsibilities</h3>\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<h3>Skills, Knowledge &amp; Expertise</h3>\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<h3>Benefits</h3>\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>","enriched_at":1776428723475},{"id":"job_28b60f7c-242","title":"Director/Senior Director, Antibody Discovery","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/d50002c9-77b6-4e95-978c-f35af53fb3d7","location":"San Mateo, CA","job_type":"permanent","experience_level":"senior","work_arrangement":"hybrid","category":"Lab Science","description":"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.\n\nKey Responsibilities:\n\n* Lead BigHat's antibody discovery and display functions, setting the scientific, technical, and strategic direction\n* 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\n* Manage and mentor a team of scientists responsible for antibody library design, generation, screening, selection, and early optimization\n* Shape 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\n* Provide scientific leadership across discovery and early optimization efforts, ensuring antibodies emerging from selections possess strong functional and developability characteristics\n* 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\n* Collaborate with biology and therapeutic research leads to ensure display outputs align with and advance program objectives\n* Foster a collaborative and high-performance culture within the discovery organization\n\nBenefits:\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.\n\nWe 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.","enriched_at":1776428694099}],"category_normalised":[{"category":"engineering","count":4},{"category":"operations","count":1}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":2},{"week_start":"2026-06-01","count":2},{"week_start":"2026-06-08","count":1},{"week_start":"2026-06-15","count":2},{"week_start":"2026-06-22","count":1},{"week_start":"2026-07-13","count":2}],"trend":"stable","wow_pct":100},"momentum":{"recent_14d":2,"prior_14d":1,"growth_pct":100,"classification":"stable"},"salary_vs_industry":{"company_median":141250,"industry_median":null,"percentile":null,"sample_size":8,"by_region":[{"region":"United States","company_median":141250,"industry_median":null,"sample":8}],"transparency_pct":80,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":10,"industry_total":10,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.273,"skill_weighted_score":0,"top_exposed_titles":[],"top_exposed_skills":[]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":10,"share_pct":100}],"emerging":[],"shrinking":[{"region":"United States","recent_30d":3,"prior_30d":5,"growth_pct":-40}]},"seniority_anomalies":{"exec_recent_30d":1,"exec_prior_90d_avg":0.7,"exec_growth_pct":43,"notable_exec_hires":[{"title":"Senior Director, Clinical Operations","location":"San Mateo, CA","posted_at":"2026-07-18"}]},"posting_dynamics":{"median_days_open":null,"industry_median_days_open":null,"long_open_count":2,"closure_rate_pct":0}}}}