{"id":487463,"url":"https://alion.io/job/cradle-scientist-large-libraries","title":"Scientist, Large Libraries","company":{"id":16498,"name":"Cradle","domain":"cradle.bio","url":"https://alion.io/company/cradle-bio","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Amsterdam, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":52000,"max_usd":119000,"period":"year","method":"role_country_seniority_unknown","sample_n":60},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"ELISA","optional":true},{"name":"Flow Cytometry","optional":true},{"name":"Next-Generation Sequencing","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-04-13T10:55:38Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-11-06T13:06:54Z","board_verified":true,"closed_at":null,"days_open":207,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":206},"description":"This is Cradle\nProteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools.\nMachine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.\nWe're an experienced team of just under 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.\nWe offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities.\nWhat we're looking for\nWe are looking for a (Senior) Scientist to join our Large Libraries team and drive the development of novel high-throughput screening capabilities for protein-protein interactions. In this role, you will work on developing novel methods to screen protein variant libraries (e.g. antibodies) for measurement of protein interaction binding affinities. You will develop innovative methods to explore sequence-function landscapes, generating large-scale datasets. These datasets will power the Cradle AI/ML platform models, strengthen design recommendations, accelerate protein optimization, and deepen understanding of protein performance. Your efforts will enable our customers to engineer better proteins, faster across biotechnology applications.\nResponsibilities\nMethod Development & Execution\nDevelop and optimize novel workflows for high-throughput protein-protein interaction library screening\n\nBuild and optimize in vitro or cell-based assay pipelines across multiple display and screening modalities (yeast, phage, mRNA, ribosome display, or mammalian display)\n\nDesign, build, and execute molecular biology and biochemistry frameworks for library construction, screening, and data generation at scale\n\nEstablish robust and repeatable assays with the statistical rigor required for ML model training, evaluation and optimization\n\nTechnical Leadership\nDrive and lead projects from experimental design through data delivery\n\nIdentify opportunities to improve throughput, data quality, repeatability, and workflow efficiency.\n\nCollaborate with a cross-functional team to troubleshoot complex technical challenges and iterate on solutions.\n\nCross-functional Collaboration\nPartner with the ML team to define data requirements and integrate experimental outputs into the ML pipeline.\n\nCommunicate results, insights, and technical challenges effectively across disciplines.\n\nContribute to shaping the scientific direction of the Large Libraries team and meaningfully contribute to the advancement of the Cradle platform.\n\nYour background\nMissing one or two points from the list below? No worries, if you're excited about this role and meet most of these criteria, we definitely want to hear from you. In the application form you will have a chance to spark our curiosity by telling us something groundbreaking you have worked on.\nPhD in biochemistry, molecular biology, biophysics, synthetic biology, bioengineering, or a related field.\n\nDemonstrated creativity in method development: you have invented or substantially adapted workflows, not just executed established ones.\n\nExcitement to learn, contribute, and drive innovation in an early stage startup environment. Be comfortable with ambiguity and a fast paced environment.\n\nStrong verbal and written communication skills in English. Proactively sharing results, successes and challenges in a cross-functional environment.\n\nAbility to run multiple projects simultaneously while ensuring that process steps are documented, and physical/digital data are organized.\n\nNice-to-haves\nExperience with one or more of the following would be an advantage:\nLarge-scale DNA library construction methodologies (>10^6 variants)\n\nDisplay platforms (yeast, phage, mRNA, ribosome display, or mammalian display)\n\nFlow cytometry and FACS\n\nFamiliarity with binding kinetic measurement techniques (SPR, BLI, ELISA, etc.)\n\nNext-generation sequencing library preparation, QC, and bioinformatic analysis tools (Illumina, Nanopore, PacBio).\n\nExperience with statistically rigorous experimental design and data quality assessment\n\nHigh-throughput data analysis or familiarity with scripting languages (Python, R)\n\nClassical high-throughput laboratory automation (robotic liquid handlers, plate readers, colony pickers)\n\nLearning more about the BioEngineering team\nWe're quite open about what we work on in our BioEngineering team. If you'd like to learn a bit more before applying, check out blog posts from our team (link 1,link 2) or watch our webinar onlab automation.\nOur commitment to inclusive hiring\nCradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply.\nAI disclosure\nCradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions - all candidates are evaluated through a thorough, human-led review by our recruiting team.\nA notice about recruitment scams\nPlease be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @ cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.","description_format":"text","description_chars":6059,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Biotechnology","Drug Discovery","AI for Science"],"lifecycle":[{"event":"open","at":"2026-09-06T20:07:35Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.178,"p_room":0.35,"age_days":206,"expected_fill_days":30,"reasons":["conf:1","win:tail"],"computed_at":"2026-11-06T05:58:05Z"},"pay":null,"html_url":"https://alion.io/job/cradle-scientist-large-libraries","json_url":"https://alion.io/job/cradle-scientist-large-libraries.json","meta":{"generated_at":"2026-11-06T14:33:07Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":27031,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":16498},"rest":"https://alion.io/mcp/rest/get_company?id=16498"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcradle-scientist-large-libraries"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcradle-scientist-large-libraries"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcradle-scientist-large-libraries"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/cradle-scientist-large-libraries\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcradle-scientist-large-libraries"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":487463}},{"tool":"search_jobs","arguments":{"company":"cradle.bio","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":487463},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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