{"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":16,"categories":[{"category":"research","count":4},{"category":"it","count":4},{"category":"other","count":3},{"category":"operations","count":2},{"category":"engineering","count":2},{"category":"finance","count":1}],"experience_levels":[{"level":"senior","count":10},{"level":"mid","count":3},{"level":"executive","count":1},{"level":"entry","count":1}],"work_arrangements":[{"arrangement":"onsite","count":9},{"arrangement":"hybrid","count":5},{"arrangement":"remote","count":2}],"top_titles":[{"title":"Research Associate II, Production","count":2},{"title":"SharePoint Consultant","count":1},{"title":"Senior Scientist, Developability [Contract]","count":1},{"title":"Senior Scientist II, Biomolecular Characterization","count":1},{"title":"Senior Scientist I, Antibody Engineering","count":1},{"title":"Senior Director, Controller","count":1},{"title":"Senior Director, Clinical Operations","count":1},{"title":"Scientist II, Developability","count":1},{"title":"Scientist I, Display Technologies","count":1},{"title":"Principal, Machine Learning Scientist","count":1},{"title":"Machine Learning Scientist","count":1},{"title":"Machine Learning Engineer","count":1},{"title":"Lab Operations Assistant (Part-Time)","count":1},{"title":"Director of Machine Learning","count":1},{"title":"Automation Engineer II","count":1}],"locations":[{"location":"san mateo, ca","count":16}],"skills":[{"skill":"Protein Engineering","required":5,"preferred":0,"total":5},{"skill":"Antibody Biology","required":3,"preferred":2,"total":5},{"skill":"Python","required":4,"preferred":0,"total":4},{"skill":"PyTorch","required":4,"preferred":0,"total":4},{"skill":"Machine Learning","required":4,"preferred":0,"total":4},{"skill":"Biochemistry","required":3,"preferred":0,"total":3},{"skill":"De Novo Design","required":0,"preferred":3,"total":3},{"skill":"NGS Data","required":0,"preferred":3,"total":3},{"skill":"Bayesian Optimization","required":0,"preferred":3,"total":3},{"skill":"Drug Development","required":0,"preferred":3,"total":3},{"skill":"AWS","required":0,"preferred":3,"total":3},{"skill":"Molecular Biology Techniques","required":3,"preferred":0,"total":3},{"skill":"Antibody Engineering","required":2,"preferred":0,"total":2},{"skill":"Data Analysis","required":2,"preferred":0,"total":2},{"skill":"Structural Biology","required":2,"preferred":0,"total":2},{"skill":"Elisa","required":1,"preferred":1,"total":2},{"skill":"BS In Biology Or Chemistry","required":2,"preferred":0,"total":2},{"skill":"Laboratory Method Development","required":2,"preferred":0,"total":2},{"skill":"Automated Liquid Handlers","required":2,"preferred":0,"total":2},{"skill":"General Lab Practices","required":2,"preferred":0,"total":2}],"salary_stats":{"count":13,"min":92500,"q1":155000,"median":172500,"q3":270500,"max":307500},"job_types":[{"type":"full time","count":13},{"type":"contract temp","count":2},{"type":"part time","count":1}],"latest_jobs":[{"id":"job_bbc52a5b-ed5","title":"Director of Machine Learning","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/0c79bfdf-a3f1-4e55-a1e4-93abb5930c45","location":"San Mateo, CA","job_type":"full time","experience_level":"senior","work_arrangement":"hybrid","category":"IT","description":"<p>BigHat Biosciences is seeking an exceptional player-coach to serve as Director of Machine Learning. Reporting to the CIO, you will own the technical direction, and a meaningful share of the hands-on execution, of BigHat&#39;s machine learning capabilities and the growing domain of machine learning operations, including agent development and how agents automate and extend our internally built computational platform and force multiply the impact of our teams.</p>\n<p>We are looking for someone with genuine theoretical depth and the vision to say where ML-driven antibody design should go next. Your team will develop state-of-the-art antibody property models with the goal of iteratively improving our antibody designs and you’ll own the proof points that demonstrate the impact of these models.</p>\n<p>You’ll build agent services to bolster the agility and impact of our teams and work with frontier AI labs to adapt LLMs to new agentic antibody design challenges. As our platform value grows, so does our opportunity to create new and valuable platform partnerships.</p>\n<p>You will be accountable for the ML that differentiates our therapeutic programs, and for the modeling capabilities we put in front of data and model partners. At BigHat, we only declare success upon synthesis of real antibodies with drug-like properties that improve patient outcomes.</p>\n<p>This is a rare opportunity to run frontier ML within a one-of-a-kind production platform, with an automated high-throughput wet lab generating the data to fuel it.</p>\n<h3>Key Responsibilities</h3>\n<ul>\n<li>ML strategy and vision: Own and continuously sharpen BigHat&#39;s machine learning roadmap. Articulate where the field is going and where we intend to lead.</li>\n<li>Deliver best in class therapeutic models: Utilize BigHat’s data repository and data generation capabilities to create multi-objective predictive models to demonstrate a durable, benchmarked, best-in-industry proof that better models accelerate real therapeutics.</li>\n<li>Frontier models joined with best-in-class data: Apply frontier models, utilizingBigHat’s unique datasets and data capabilities, against nature’s hardest protein design challenges.</li>\n<li>Agentic direction: Join forces across the CIO organization to steer our unified LLM and ML approach.</li>\n<li>Program impact: Ensure that models, provenance, and benchmarks flow through our infrastructure without heroics, and that build-test-train design rounds fully leverage model insight for all 2k+ antibodies designed each week.</li>\n<li>Platform as product: Work with business development, partnerships, and executive leadership to translate our data generation and modeling capabilities into offerings that frontier AI companies and biopharma partners can buy.</li>\n<li>Team leadership: Mentor and grow a small, senior team of ML scientists and engineers.</li>\n<li>External leadership: Publish, present, and engage the ML and protein engineering communities.</li>\n</ul>\n<h3>Skills, Knowledge &amp; Expertise</h3>\n<ul>\n<li>Theory and vision: You reason from first principles about why a method should work, design the experiment that would falsify it, and explain the whole thing clearly to a room of interdisciplinary scientists.</li>\n<li>Technical mastery: Deep, current command of modern ML: generative models of protein sequence and structure, Bayesian optimization and active learning, uncertainty quantification, data-efficient predictive modeling/in-context learning, etc.</li>\n<li>Player-coach instinct: You lead by doing as well as by directing.</li>\n<li>Operational excellence: You have shipped ML into production systems and care about reproducibility, provenance, benchmarking, and cycle time as much as about model architecture.</li>\n<li>Biological fluency: Working knowledge of antibody biology, developability, and drug development, or the demonstrated ability and appetite to acquire it quickly.</li>\n</ul>\n<h3>Benefits</h3>\n<p>The salary estimated for this position is $250,000 - $365,000 + bonus + options + benefits.</p>","enriched_at":1792495703805},{"id":"job_745684f5-2c1","title":"Lab Operations Assistant (Part-Time)","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/a08f1933-ceb6-4a7f-b655-5c289880c6f7","location":"San Mateo, CA","job_type":"part time","experience_level":null,"work_arrangement":"onsite","category":"Operations","description":"<p>BigHat Biosciences is seeking a self-motivated individual to support the day-to-day needs of lab operations functions.</p>\n<p>This part-time contract role will assist with the routine hands-on tasks within the BigHat space, keep lab spaces clean and well-stocked, and work alongside the BigHat lab team to ensure everyone has what they need.</p>\n<p>The role is planned for 10-16 hours per week across 2-3 days, with the exact schedule to be discussed.</p>\n<h4>Key Responsibilities</h4>\n<ul>\n<li>Perform routine maintenance on common laboratory equipment.</li>\n<li>Ensure sufficient stock of washed and autoclaved glassware.</li>\n<li>Perform sterilization and sanitization of equipment.</li>\n<li>Restock commonly used materials in the various BigHat lab spaces.</li>\n<li>Prepare common lab materials, such as pre-labelled plates.</li>\n<li>Support lab staff with basic requests.</li>\n<li>Maintain the cleanliness, safety, and organization of the lab and storage spaces.</li>\n</ul>\n<h4>Skills, Knowledge &amp; Expertise</h4>\n<ul>\n<li>Interest in learning about biology, chemistry, or the biotech field.</li>\n<li>Self-motivated individual with attention to detail, excited to work in a dynamic start-up environment.</li>\n<li>Experience in a laboratory environment or lab operations is a plus.</li>\n<li>Experience with Google Suite, with a focus on Google Sheets.</li>\n</ul>","enriched_at":1790997303239},{"id":"job_d7df86db-c84","title":"Senior Director, Controller","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/8d947f68-7a9d-4a67-a0c0-93965f960bcf","location":"San Mateo, CA","job_type":"full time","experience_level":"executive","work_arrangement":"hybrid","category":"Finance","description":"<p>BigHat Biosciences is seeking a detail-driven, proactive, and analytical Controller to serve as its senior accounting leader and architect of its finance infrastructure at a pivotal stage of growth.</p>\n<p>The role involves owning the full accounting function, from close and financial reporting to technical accounting, equity, tax, and compliance. You will design and improve systems, controls, and processes required for a future public-company operating environment.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Serving as BigHat&#39;s in-house technical accounting authority; researching and preparing position memos on complex transactions, new GAAP pronouncements, and company-specific accounting policy decisions.</li>\n<li>Executing general ledger operations and leading the financial close process.</li>\n<li>Driving R&amp;D accounting across CRO and vendor accruals, prepaids, and program-level cost tracking.</li>\n<li>Building and delivering financial reporting packages and board-level management decks.</li>\n<li>Designing, implementing, and maintaining a SOX compliance internal control framework.</li>\n<li>Leading audit readiness and driving clean, timely delivery of annual financial statement audits.</li>\n<li>Managing federal, state, and local tax compliance in coordination with external advisors.</li>\n<li>Evaluating and implementing AI-enabled tools and finance technology.</li>\n<li>Owning payroll administration and equity accounting and plan administration under ASC 718.</li>\n<li>Owning NetSuite ERP implementation including processes and controls.</li>\n</ul>\n<p>The ideal candidate has a background in accounting from a high-growth biotech, pharma, or life sciences company, hands-on NetSuite implementation or migration experience, and technical expertise to research complex GAAP positions.</p>\n<h3>Benefits</h3>\n<p>The salary estimated for this position is $240,000 - $301,000 + bonus + options + benefits.</p>","enriched_at":1789762755852},{"id":"job_55aed275-8d2","title":"Research Associate II, Production","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/e3cfeece-f7d5-4a4f-8c7d-02beabc281b5","location":"San Mateo, CA","job_type":"full time","experience_level":"mid","work_arrangement":"onsite","category":"Other","description":"<p>BigHat Biosciences is seeking a self-motivated individual for a Research Associate II, Production role to power its high-throughput, automated platform for antibody production and deep molecular characterization.</p>\n<h3>Key Responsibilities</h3>\n<ul>\n<li>Perform automated and manual high-throughput processing on the BigHat platform, including DNA preparation, protein expression, and protein characterization.</li>\n<li>Contribute to scaling up BigHat&#39;s platform and production-grade data generation.</li>\n<li>Support BigHat&#39;s Platform Reagents &amp; Assay Support (PRAS) function by contributing to in-house reagent manufacturing efforts.</li>\n<li>Execute experiments to optimize the performance efficiency of BigHat&#39;s platform.</li>\n<li>Keep detailed records of all experiments using BigHat&#39;s documentation tools and clearly communicate results and challenges.</li>\n<li>Collaborate on creating laboratory standard operating procedures (SOPs) for sample processing.</li>\n<li>Collaborate closely with BigHat team members to identify, design, and implement critical process and operational improvements to production workflows and laboratory systems.</li>\n<li>Operate automated liquid handlers and analytical instruments to ensure all lab and platform operations run efficiently.</li>\n</ul>\n<h3>Skills, Knowledge &amp; Expertise</h3>\n<ul>\n<li>BS in Biology or Chemistry, with 2+ years of industry experience.</li>\n<li>Experience in process execution, laboratory method development, optimization, and troubleshooting.</li>\n<li>Ability and willingness to work specific workday schedules as needed.</li>\n<li>Hands-on experience with automated liquid handlers (e.g., Hamilton, OpenTrons, Tecan, Agilent systems) and LIMS.</li>\n<li>Experience with molecular biology techniques and general lab practices.</li>\n<li>Efficient time management and ability to work on several projects simultaneously 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 to document experimental work and analytical data.</li>\n</ul>\n<h3>Benefits</h3>\n<p>The salary estimated for this position is $88,000 - $100,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience.</p>","enriched_at":1788536328717},{"id":"job_506ea482-0e5","title":"Machine Learning Engineer","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/3d8a0971-20d7-4226-a6cf-97ad1d1ce33b","location":"San Mateo, CA","job_type":"full time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>We are seeking a creative, ambitious Machine Learning Scientist or Engineer to advance the state of the art in ML-driven therapeutic antibody design.</p>\n<p>At BigHat Biosciences, our full-stack antibody drug development platform uses AI/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.</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>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.</li>\n<li>Develop, refine, and deploy agentic and LLM-driven optimization methods to further automate and accelerate our design-build-test loop.</li>\n<li>Provide ML 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 deployment of our latest models and methods.</li>\n<li>Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc.</li>\n</ul>\n<h3>Skills, Knowledge &amp; Expertise</h3>\n<ul>\n<li>Masters in ML/CS/EE or Bachelors with 3+ years industry experience; hands on experience developing and applying novel ML methods and a strong quantitative background.</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>Energy and ambition - ready to dive into a fast-paced environment and execute across multiple projects.</li>\n<li>Familiarity with the current state-of-the-art in ML-driven protein engineering.</li>\n</ul>\n<h3>Benefits</h3>\n<p>The salary estimated for this position is $150,000 - $200,000 + bonus + options + benefits.</p>","enriched_at":1788536313142},{"id":"job_525e39ee-564","title":"Senior Scientist, Developability [Contract]","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/a785ab55-3527-4a69-a39c-1c4e7db4b8d9","location":"San Mateo, CA","job_type":"contract temp","experience_level":"senior","work_arrangement":"onsite","category":"Research","description":"<p>BigHat Biosciences is seeking a hands-on, bench-driven scientist to perform IND-enabling developability assessments on late-stage drug candidates from its Milliner Platform for AI-designed therapeutics.</p>\n<p>This is a lab-based 12-month contract role, with the possibility but no guarantee of conversion to a full-time position. You will spend most of your time at the bench executing complex stability studies.</p>\n<h3>Key Responsibilities</h3>\n<ul>\n<li>Design, lead, and execute in-use dose solution studies to assess drug compatibility with administration materials.</li>\n<li>Develop highly sensitive protein characterization methods, such as qSEC, RP-HPLC, CEX, and particle counting, to evaluate drug quality and recovery.</li>\n<li>Support late-stage characterization, including formulation screening, stress testing, and peptide mapping, to rank and advance lead candidates.</li>\n<li>Drive developability assessments, focusing on purity, stability, tolerability, and biophysical properties across programs, with careful attention to data interpretation and organisation.</li>\n<li>Manage and communicate with external CROs for testing and analytics.</li>\n<li>Interpret and communicate scientific findings, propose next steps, and effectively broadcast results across the organisation.</li>\n<li>Proactively identify and explore state-of-the-art analytical tools and developability technologies.</li>\n</ul>\n<h3>Skills, Knowledge &amp; Expertise</h3>\n<ul>\n<li>PhD in Biochemistry or a relevant discipline with 5+ years of industry experience; exceptional non-PhD candidates with extensive bench experience will be considered.</li>\n<li>Experience in developing and optimising sensitive analytical chromatography-based methods is essential.</li>\n<li>Strong background in biophysical and analytical characterisation of antibodies and antibody fragments, including SEC, HIC, CE-SDS, DLS, DSF, ELISA, and LC-MS.</li>\n<li>Proven track record of translating complex data into clear results and actionable recommendations.</li>\n<li>Keenness to learn and onboard new technologies to enhance capabilities, improve work quality, timelines, throughput, or cost.</li>\n</ul>","enriched_at":1788536050128},{"id":"job_834c7f97-276","title":"Machine Learning Scientist","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/8a2f5d9d-0e06-44a6-9d78-5d3d7b1bfc07","location":"San Mateo, CA","job_type":"full time","experience_level":"senior","work_arrangement":"hybrid","category":"IT","description":"<p>We are seeking a creative, ambitious Machine Learning Scientist or Engineer to advance the state of the art in ML-driven therapeutic antibody design.</p>\n<p>At BigHat Biosciences, our full-stack antibody drug development platform uses AI/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 development of complex, next-generation therapeutics &#39;trivially parallelizable&#39;, at a pace which only accelerates as we develop better ML tooling.</p>\n<p>You&#39;re not interested in just git-cloning the latest NeurIPS publication and swapping out the dataset. Motivated by an enthusiasm for the possibility of addressing unmet patient need, and a curiosity about the underlying biology, you&#39;ll apply your top-tier ML skillset to refine and expand this state of the art protein engineering platform. Success will mean not only hands-on methods development, but actively participating in the application of our platform to the accelerated design of new drugs for devastating diseases.</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>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>Develop, refine, and deploy agentic and LLM-driven optimization methods to further automate and accelerate our design-build-test loop.</li>\n<li>Provide ML 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 deployment of our latest models and methods.</li>\n<li>Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc. - every therapeutics program at BigHat is heavily interdisciplinary.</li>\n</ul>\n<h3>Skills, Knowledge &amp; Expertise</h3>\n<ul>\n<li>PhD in ML/CS/EE or relevant scientific discipline, hands-on experience developing and applying novel ML methods and a strong quantitative background.</li>\n<li>Strong competency in Python, familiarity with PyTorch and experience with modern software engineering best practices, including not just agentic/LLM-assisted coding but testing, CI/CD, etc.</li>\n<li>Excellent communication skills, sufficient biomedical domain knowledge to interact effectively with diverse scientific teams.</li>\n<li>Energy and ambition - ready to dive into a fast-paced environment and execute across multiple projects.</li>\n<li>Familiarity with the current state-of-the-art in ML-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, experience training and deploying models on AWS, and publications at major ML conferences.</li>\n</ul>\n<h3>Benefits</h3>\n<p>The salary estimated for this position is $150,000 - $200,000 + 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>","enriched_at":1788536016959},{"id":"job_b23f134a-bf3","title":"Senior Scientist II, Biomolecular Characterization","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/9b5ebce7-90fd-475b-906d-37d32981eb2e","location":"San Mateo, CA","job_type":"full time","experience_level":"senior","work_arrangement":"onsite","category":"Research","description":"<p>BigHat Biosciences is seeking an exceptional individual for a Senior Scientist II, Biomolecular Characterization role to drive characterization of in vitro antibody-target binding behavior.</p>\n<p>The role involves individual contribution at the bench with strong cross-functional collaboration with scientists, ML/DS, and program teams. You will develop, optimize, and implement high- and low-throughput state-of-the-art strategies to characterize the interactions between antibody and antigen using biolayer interferometry (BLI) and surface plasmon resonance (SPR).</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Develop and implement strategies to characterize antibody-antigen interactions using BLI and SPR</li>\n<li>Design and perform epitope binning assays to cluster antibodies into functional families</li>\n<li>Source, develop, and validate competitive binding/blocking assays to triage candidate antibodies</li>\n<li>Collaborate with the BigHat science organization to accelerate hits from discovery through lead optimization and candidate nomination</li>\n<li>Synthesize and communicate results and research activity to key decision-makers and the broader BigHat team</li>\n</ul>\n<p>Skills, Knowledge &amp; Expertise:</p>\n<ul>\n<li>M.Sc/Ph.D. in molecular or cell biology, immunology, or related fields</li>\n<li>5+ years of advanced, independent research experience in an industry setting</li>\n<li>Substantial experience with the Octet BLI and/or Biacore platforms</li>\n<li>Practical and theoretical fluency with using various BLI sensor types for antibody-antigen binding kinetics and epitope binning</li>\n<li>Deep technical knowledge regarding chip chemistries and characteristics for SPR measurements</li>\n<li>Experience measuring binding interactions with recombinant soluble, transmembrane, and cell-based antigens and various antibody formats</li>\n<li>Strong data analysis and interpretation skills</li>\n<li>Exceptional written, verbal, and visual communication skills</li>\n<li>Ability to educate and build consensus among diverse stakeholders regarding scientific direction</li>\n</ul>\n<p>Benefits: The salary estimated for this position is $145,000 - $165,000 + bonus + options + benefits.</p>","enriched_at":1788270785816},{"id":"job_5a9643c2-655","title":"Research Associate II, Production","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/1520ec94-5fa7-456a-9b74-e9e2222dd654","location":"San Mateo, CA","job_type":"full time","experience_level":"mid","work_arrangement":"onsite","category":"Other","description":"<p>BigHat Biosciences is seeking a self-motivated individual for a Research Associate II, Production role to power its high-throughput, automated platform for antibody production and deep molecular characterization.</p>\n<p>The role involves performing automated and manual high-throughput processing on the BigHat platform, including DNA preparation, protein expression, and protein characterization. The successful candidate will contribute to the scaling up of BigHat&#39;s platform and production-grade data generation, support the Platform Reagents &amp; Assay Support (PRAS) function, and execute experiments to optimize the performance efficiency of BigHat&#39;s platform.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Performing automated and manual high-throughput processing on the BigHat platform</li>\n<li>Contributing to the scaling up of BigHat&#39;s platform and production-grade data generation</li>\n<li>Supporting the PRAS function by contributing to in-house reagent manufacturing efforts</li>\n<li>Executing experiments to optimize the performance efficiency of BigHat&#39;s platform</li>\n<li>Keeping detailed records of all experiments using BigHat&#39;s documentation tools</li>\n<li>Collaborating on the creation of laboratory standard operating procedures (SOPs) for sample processing</li>\n<li>Collaborating with team members to identify, design, and implement critical process and operational improvements</li>\n<li>Operating automated liquid handlers and analytical instruments</li>\n</ul>\n<p>The ideal candidate will have a BS in Biology or Chemistry, with 1+ year(s) of industry experience, experience in process execution, laboratory method development, optimization, and troubleshooting, and hands-on experience with automated liquid handlers.</p>\n<p>Benefits include a salary estimated for $85,000 - $100,000 + bonus + options + benefits.</p>","enriched_at":1788270407965},{"id":"job_a25e950a-2ce","title":"Automation Engineer II","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/02e7229b-5e9e-452d-977a-4da26e8a01ea","location":"San Mateo, CA","job_type":"full time","experience_level":"mid","work_arrangement":"onsite","category":"Engineering","description":"<p>BigHat Biosciences is seeking a highly motivated Automation Engineer II to join its growing team. This position will support the development and scaling of automated workflows within BigHat&#39;s state-of-the-art antibody engineering platform.</p>\n<h3>Key Responsibilities</h3>\n<ul>\n<li>Lead and contribute to the end-to-end development of high-throughput automated assay processes, spanning various technologies within drug and antibody discovery.</li>\n<li>Program various laboratory automation instruments and robotic systems.</li>\n<li>Contribute to designing and developing BigHat&#39;s integrated workcells, focusing on orders-of-magnitude capacity increase, cost reduction, and increased reliability.</li>\n<li>Lead troubleshooting efforts, analyze existing workflows, identify bottlenecks, and develop innovative solutions geared towards robustness and capacity.</li>\n<li>Collaborate with software engineering and LIMS teams on building and implementing end-to-end integrated workflows leveraging BigHat&#39;s cutting-edge software stack.</li>\n<li>Support equipment validation and qualification efforts, including design, execution, and documentation.</li>\n<li>Contribute to the growth of the automation team, know-how, and expertise at BigHat.</li>\n</ul>\n<h3>Skills, Knowledge &amp; Expertise</h3>\n<ul>\n<li>BS or MS degree in engineering or science in engineering, biochemistry, or a related scientific field, with 2+ years of relevant industry experience.</li>\n<li>Experience programming or operating automated liquid handling systems, from conception through all phases of development and implementation. Experience with Hamilton and/or OpenTrons platforms is preferred but not required.</li>\n<li>Experience with standard molecular biology and cell biology techniques and/or experience automating drug discovery processes is preferred.</li>\n<li>Functional knowledge in experimental design, bench execution, process documentation, and data analysis.</li>\n<li>Strong communication skills and the ability to work with people of diverse backgrounds (protein scientists, research associates, data scientists, software engineers, etc.) to scope, develop, and implement solutions.</li>\n<li>Ability to thrive in a fluid, dynamic start-up environment and enjoy building capabilities from the ground up.</li>\n</ul>\n<h3>Benefits</h3>\n<p>The salary estimated for this position is $150,000 - $168,000 + 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>","enriched_at":1788270387882}],"category_normalised":[{"category":"research","count":4},{"category":"it","count":4},{"category":"operations","count":2},{"category":"engineering","count":2},{"category":"finance","count":1}],"velocity":{"weeks":[{"week_start":"2026-06-15","count":1},{"week_start":"2026-07-13","count":1},{"week_start":"2026-08-03","count":1},{"week_start":"2026-08-10","count":2},{"week_start":"2026-08-17","count":1},{"week_start":"2026-08-31","count":7},{"week_start":"2026-09-14","count":1},{"week_start":"2026-09-28","count":1},{"week_start":"2026-10-19","count":1}],"trend":"accelerating","wow_pct":0},"momentum":{"recent_14d":1,"prior_14d":1,"growth_pct":0,"classification":"stable"},"salary_vs_industry":{"company_median":172500,"industry_median":null,"percentile":null,"sample_size":13,"by_region":[{"region":"United States","company_median":172500,"industry_median":null,"sample":13}],"transparency_pct":81,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":16,"industry_total":16,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.26,"skill_weighted_score":0.38,"top_exposed_titles":[{"title":"Research Associate II, Production","count":2,"score":0.245}],"top_exposed_skills":[{"skill":"Python","count":3,"score":0.38},{"skill":"PyTorch","count":3,"score":0.38},{"skill":"Machine Learning","count":3,"score":0.38},{"skill":"Antibody Biology","count":3,"score":0.38},{"skill":"De Novo Design","count":3,"score":0.38},{"skill":"NGS Data","count":3,"score":0.38},{"skill":"Bayesian Optimization","count":3,"score":0.38},{"skill":"Drug Development","count":3,"score":0.38},{"skill":"AWS","count":3,"score":0.38}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":16,"share_pct":100}],"emerging":[],"shrinking":[{"region":"United States","recent_30d":2,"prior_30d":8,"growth_pct":-75}]},"seniority_anomalies":{"exec_recent_30d":1,"exec_prior_90d_avg":0.7,"exec_growth_pct":43,"notable_exec_hires":[{"title":"Director of Machine Learning","location":"San Mateo, CA","posted_at":"2026-10-20"}]},"posting_dynamics":{"median_days_open":78,"industry_median_days_open":null,"long_open_count":2,"closure_rate_pct":7}}}}