Causaly
life sciences
Causaly is the agentic AI platform for life sciences, helping enterprises accelerate R&D discovery and development with scientific rigor.
Causaly在招聘吗？
是的。截至2026年10月6日，Causaly在 Metaintro 上有5 个在招职位。 其中1 个发布于最近 30 天内。
在招职位
按最新排序。招聘信息注明薪酬时会显示。
- Life Sciences Strategy Consultant业务发展New York · 混合办公 · $180K – $220K/yrNew York混合办公$180K – $220K/yr28天前
- Full-Stack Engineer, Backend and Platform开发者London · 混合办公London混合办公—2026年7月6日
- Full-Stack Engineer, Backend and Platform开发者London · 混合办公London混合办公—2026年7月6日
- AI Engineer人工智能/机器学习LondonLondon——2026年3月4日
- Enterprise Account Executive销售New York · 远程New York远程—2025年12月10日
招聘模式
Causaly 新增职位的速度，以及职位的办公方式。
每月新增职位当月首次发布的职位
客户
Causaly 列出的全部 4 家客户。
客户案例2
- Innate Pharma
- ProQR
其他客户2
- Top 10 Pharma
- Top 50 Pharma
客户怎么说
来自 Causaly 客户的评价。
““The selection of tumor antigens was greatly facilitated by Causaly, improving the decision-making process.””
““Causaly is my new friend; I use it every day. Every time I have a question it’s my companion.””
“Now, I can get the same depth in minutes and if it outputs a table, I can pull the exact references behind each point. It’s faster and reduces the risk of missing key perspectives.”
“I used to start with PubMed and clinical databases, find a recent review, and then chase references and abstracts, sometimes for days.”
“Causaly helped us unearth more hidden links much faster than if we were to go through the paper, read it, and hope the author mentions what we are interested in. PubMed wouldn’t be a substitute.”
再显示 7 条评价收起
“It would be possible to browse the literature manually, but you can imagine the number of products I am responsible for and the amount of papers I would need to review, either industry-sponsored studies or pilot studies conducted by physicians. All this data is retrieved by Causaly, and I can filter and sort based on quality of evidence.”
“I save time on my research because Causaly is easy to use. It allows me to work smarter. It would take me a longer time to get to the same amount of information. I use Causaly a lot in meetings because I can quickly get a nice summary of response for my colleagues.”
“Causaly is a much better way of seeing the information as well as the bigger picture - instead of reviewing only a few papers and only seeing connections if you get lucky.”
““I was able to meet a tight stakeholder proposal within one week because of Causaly.””
““Causaly helped me become a better scientist in this new area of research.””
““I was able to meet a tight stakeholder proposal within 1 week because of Causaly.””
““Before, it would take me 3–4 weeks to prepare a proposal for a target.””
AI 发布与合作伙伴
Causaly 在 AI 方面发布了什么，以及与谁合作。
- 发布Scientific AI copilotCausaly offers a scientific AI copilot for asking questions about a biomarker's biological function, expression patterns, disease association, and mechanism of action.
- 发布Scientific AI copilotCausaly’s scientific AI copilot lets users probe a biomarker’s biological function, expression patterns, disease association, and mechanism of action by asking questions.
- 发布Pipeline GraphPipeline Graph uses AI to bring competitive insights into early research and connects competitive intelligence with biological context.
- 发布AI-powered chatCausaly Discover uses AI-powered chat to answer complex biomedical questions.
所需技能
在招职位中出现最多的技能。
技术栈
- 库
- Swiper
- jQuery
- CDN
- unpkg
- jsDelivr
- Amazon CloudFront
- 营销
- HubSpot
- 分析
- Segment
- Google Analytics 4
- Google Tag Manager
- CMS
- HubSpot CMS
公司信息
- 总部
- London
- 成立时间
- 2018
- 行业
- life sciences
- 行业（NAICS）
- 信息业
- 同类公司
- Trinity Partners, LLC
- 社交媒体
按地点划分的职位
Causaly 的招聘地点。选择城市以查看该地的职位。
相似公司
与 Causaly 同一行业、目前正在招聘的公司。
关于 Causaly 的问题
- Causaly在招聘吗？
- 是的。截至2026年10月6日，Causaly在 Metaintro 上有5 个在招职位。 其中1 个发布于最近 30 天内。 职位最多的团队是 Developer（2）、Artificial Intelligence/Machine Learning（1）和Business Development（1）。
- Causaly 在哪些地方招聘？
- Causaly 正在 London和New York 招聘，其中 London 的在招职位最多。
- Causaly 的客户有哪些？
- Causaly 列出了 4 家客户，包括 Innate Pharma、ProQR、Top 10 Pharma和Top 50 Pharma。