{"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":"lab 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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":"Laboratory","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":"Lab Science","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":"Lab Science","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":"Laboratory Science","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},{"id":"job_08fd9eec-7da","title":"Scientist I, Display Technologies","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/f343b5b0-e798-4752-80c3-afa6e608bdc2","location":"San Mateo, CA","job_type":"full time","experience_level":"entry","work_arrangement":"onsite","category":"Laboratory Science","description":"<p>BigHat Biosciences is seeking a Scientist 1 to join the Display Technologies team. The successful candidate will contribute to antibody discovery and engineering efforts, generating high-quality data to improve machine learning models.</p>\n<h3>Key Responsibilities</h3>\n<ul>\n<li>Support R&amp;D projects advancing display technologies to expand antibody discovery capabilities and feed machine learning models.</li>\n<li>Construct and quality control phage display libraries across diverse antibody formats using standard molecular biology techniques.</li>\n<li>Execute standard phage display selections to engineer antibodies with desired therapeutic properties.</li>\n<li>Express, purify, and characterise display-derived molecules using various assays.</li>\n<li>Analyse selection results and contribute to discussions on next steps and future experimental design.</li>\n<li>Collaborate with Data Science and Machine Learning teams to inform library design and interpret selection data.</li>\n<li>Present experimental plans and results during regular meetings.</li>\n<li>Maintain thorough records using LIMS and electronic notebooks.</li>\n</ul>\n<h3>Skills, Knowledge &amp; Expertise</h3>\n<ul>\n<li>PhD in Biochemistry, Structural Biology, Protein Engineering, or a related field, with up to 2 years of industry research experience; or an MS in a related field with 6+ years of relevant industry research experience.</li>\n<li>Experience with display technologies, including library design and selection strategies.</li>\n<li>Knowledge of antibody biology and protein expression.</li>\n<li>Strength in general molecular biology techniques.</li>\n<li>Nice-to-haves include experience with flow cytometry, ELISA, or other binding assays, and familiarity with NGS or automation platforms.</li>\n<li>Demonstrated ability to follow protocols carefully, troubleshoot experiments, and maintain detailed lab records.</li>\n<li>Effective time management and clear written and verbal communication skills.</li>\n<li>Collaborative, team-oriented mindset with an eagerness to learn in a fast-paced startup environment.</li>\n<li>Scientific track record and publication record.</li>\n<li>Strong data analysis and interpretation skills.</li>\n</ul>\n<h3>Benefits</h3>\n<p>The salary estimated for this position is $120,000 - $145,000 + bonus + options + benefits.</p>","enriched_at":1787296216492},{"id":"job_793d20ac-467","title":"Senior Scientist I, Antibody Engineering","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/f237fe02-5f68-47bc-8403-ba6502fd88f6","location":"San Mateo, CA","job_type":"full time","experience_level":"senior","work_arrangement":"onsite","category":"Lab Science","description":"<p>BigHat Biosciences is seeking a Senior Scientist I to lead therapeutic programs on the antibody engineering &amp; binder generation team. You will drive antibody discovery, design, optimization, and characterization.</p>\n<h3>Key Responsibilities</h3>\n<ul>\n<li>Lead cross-functional project teams on the execution of rapid, iterative multi-objective optimization to identify high-value therapeutic antibodies.</li>\n<li>Understand target biology to better design antibodies that meet the company&#39;s candidate profile.</li>\n<li>Contribute expertise in antibody engineering approaches to generate and optimize novel antibodies.</li>\n<li>Collaborate with BigHat leadership and cross-functional team members to ensure a tight linkage between strategy, research, and development components.</li>\n<li>Lead in-depth data analysis of each design cycle to better leverage experimental and computational approaches.</li>\n<li>Communicate results to key decision makers, the broader BigHat team, and external partners.</li>\n</ul>\n<h3>Skills, Knowledge &amp; Expertise</h3>\n<ul>\n<li>Ph.D. in biochemistry, structural biology, protein engineering, or related fields.</li>\n<li>5+ years of advanced research experience in an industry setting.</li>\n<li>Hands-on protein engineering expertise, including structure-guided design, affinity maturation, and rational or computational approaches.</li>\n<li>Experience working with diverse antibody formats.</li>\n<li>Expertise in mammalian cell culture, immunoassay, molecular techniques, and protein expression and characterization.</li>\n<li>Exceptional written, verbal, and visual communication skills.</li>\n<li>Scientific track record and publication record.</li>\n<li>Strong data analysis and interpretation skills.</li>\n</ul>\n<h3>Benefits</h3>\n<p>The salary estimated for this position is $160,000 - $185,000 + bonus + options + benefits.</p>","enriched_at":1786676546749},{"id":"job_3498e8e0-0d8","title":"SharePoint Consultant","source_url":"https://bighatbiosciences.pinpointhq.com/en/postings/a80b04dd-8c16-452c-8dbd-a4bc4b249d2b","location":"San Mateo, CA","job_type":"contract temp","experience_level":"senior","work_arrangement":"remote","category":"IT","description":"<p>BigHat Biosciences is looking for an experienced and detail-oriented SharePoint Development Consultant to support the design, build-out, and configuration of SharePoint-based program management infrastructure for their drug development organisation.</p>\n<p>This is a project-based contract engagement, performed remotely through project completion. The consultant will partner directly with the Operations and Program Management teams to build document control workflows, program-facing SharePoint sites, and Power Automate automations that replace manual, email-based document review and adjudication processes.</p>\n<p>The work will have a particular focus on cGXP documents, IND-related workflows, and regulatory submission processes.</p>\n<h3>Key Responsibilities</h3>\n<ul>\n<li>Design and build SharePoint program management landing pages that surface program documentation, risk communications, and action items for cross-functional stakeholders.</li>\n<li>Integrate Smartsheet outputs or data feeds into SharePoint splash pages to support real-time, redundant visibility into program risks and actions.</li>\n<li>Configure document control workflows using SharePoint and Power Automate, including assignment of document authors, reviewers, and adjudicators for IND-related regulatory submissions.</li>\n<li>Build automated review and adjudication routing for IND chapter documents, replacing manual email-based review chains.</li>\n<li>Configure access controls and library permission structures appropriate for a regulated drug development environment.</li>\n<li>Provide SharePoint site administration support , including troubleshooting and user access management , on an as-needed basis throughout the engagement.</li>\n<li>Lead knowledge transfer and handoff to internal stakeholders upon project completion.</li>\n<li>Optionally: assess and recommend opportunities to incorporate Microsoft 365 Copilot or SharePoint AI agent features.</li>\n</ul>\n<h3>Skills, Knowledge &amp; Expertise</h3>\n<ul>\n<li>Demonstrated experience designing and building SharePoint sites for program management use cases, ideally in a biotech, pharma, or regulated health sciences environment.</li>\n<li>Proficiency in Power Automate workflow configuration within SharePoint.</li>\n<li>Hands-on experience with document control systems and regulated document lifecycle management, including IND authoring pipelines or FDA submission workflows.</li>\n<li>Working knowledge of SharePoint access controls, library permissions, and compliance-aware configuration.</li>\n<li>Experience in clinical or drug development operational settings strongly preferred.</li>\n<li>Ability to work independently, manage deliverables across a remote engagement, and communicate clearly with non-technical stakeholders.</li>\n<li>A collaborative, solution-oriented approach and comfort operating in a fast-moving startup environment.</li>\n<li>Must be based in the United States.</li>\n</ul>","enriched_at":1786676533777}],"category_normalised":[{"category":"it","count":3},{"category":"engineering","count":3},{"category":"operations","count":1}],"velocity":{"weeks":[{"week_start":"2026-06-01","count":1},{"week_start":"2026-06-08","count":1},{"week_start":"2026-06-15","count":1},{"week_start":"2026-07-13","count":1},{"week_start":"2026-08-03","count":2},{"week_start":"2026-08-10","count":2},{"week_start":"2026-08-17","count":1},{"week_start":"2026-08-31","count":7}],"trend":"stable","wow_pct":600},"momentum":{"recent_14d":7,"prior_14d":3,"growth_pct":133,"classification":"stable"},"salary_vs_industry":{"company_median":157000,"industry_median":null,"percentile":null,"sample_size":14,"by_region":[{"region":"United States","company_median":157000,"industry_median":null,"sample":14}],"transparency_pct":88,"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":0.278,"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":[{"region":"United States","recent_30d":10,"prior_30d":3,"growth_pct":233}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0.7,"exec_growth_pct":-100,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":73,"industry_median_days_open":null,"long_open_count":2,"closure_rate_pct":18}}}}