Founding Engineer (full-time, Backend, ML infra) für Berlin gesucht

Arbeits- und Stellenangebot im Regiobizz Arbeitsmarkt

Job Kategorie: Medizin/Pharma/Biotech Medizin/Pharma/Pflege

Stellenangebot Basisdaten

Arbeitsort:: DE 10117 Berlin
Umkreis:: keine Angabe.
Art der Arbeitsstelle:
Letze Aktualisierung:: 25.10.20242024-10-25

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Stellenausschreibung: Founding Engineer (full-time, Backend, ML infra)

Arbeitgeber bzw. Arbeitsvermittler: Yendou in Hamburg

Branche: Medizin/Pharma/Biotech

Kategorie: Medizin/Pharma/Pflege

Stellenbeschreibung: Intro About the Role As a founding Software Engineer, you will play a key role in developing the first AI- empowered CRM to advance cancer research. You will work closely with Felix (Founding Software Engineer) and our Product Designer in a three-person team to build and ship the first Data Intelligence-empowered CRM, enabling Clinical Operations teams to confidently deliver clinical trials to the right clinics and patients. About Yendou Yendou is the first Data Intelligence-empowered CRM designed to help R&D teams at life sciences companies scale and accelerate the allocation of cancer clinical trials in clinics, globally. You might have heard this before: It takes 12 years and $800 million to bring a cancer therapeutic to the market. But you know what the outsiders don't know? More than 1/3 of this 12-year timeline (4.6 years) and 22% of the clinical trials costs are spent on the process of clinical trial allocation to clinics. To solve this problem… We are creating the first CRM for Pharma, like Salesforce, but with a list of ready-to-go qualified prospects. No more hunting for doctors or hospitals, now they are all on Yendou and companies can shorten the selection timeline by 12 months. - Yendou has raised $1.3M to date from B2Ventures, Heartfelt_, and Industry Angels. Tasks Build the core technology enabling our product to convert structured and unstructured data into SQL-compliant tables with a schema you define in natural language. Thus, enabling our customers to unlock hidden insights to accelerate their clinical pipeline development. build interfaces to supercharge clinical operational decisions by enabling end-users to ask analytical questions not possible before with traditional Vector DB. Manage large datasets, ensuring data quality, consistency, and reliability throughout the modeling process Evaluate new private and/or public data sources; interact with vendors to assess external data products to enrich our clients accounts with operation-critical information. Monitor model performance and proactively identify model deficiencies Defining Product Roadmap: We’re a small and autonomous team, so, you’ll end up wearing many hats and having meaningful impact. Grow as a knowledge reader: As we are on the forefront of pharma R&D technology, particularly in multi-stakeholder collaboration CRMs, you will be on the cutting edge of implementing and developing technologies and methods which can at times include a combination reading white papers, technical papers and figuring it out! Our current stack is: Web Development Language: TypeScript Framework: React NextJS UI Component Library: ChakraUI, AgGrid Database: Database: PostgreSQL, ElasticSearch TypeSafe Query Builder: Prisma Client Data Cleaning: Python, Pandas Infrastructure: Cloud: Google Cloud Web App deployment: Vercel Automation: Trigger(.)dev Data crawling orchestrator: Temporal Tools & Frameworks: Repository: GitHub Package Manager: pnpm Build System and Monorepo: TurboRepo Data Extraction: Playwright & CrawleeEnrichment: Google Places & Search API, LLM - Requirements Responsibilites: Experience architecting, developing, and testing full-stack code end-to-end Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transformers. Being proactive and a fast-learner with bias for action. Open source contributions and projects are a big plus. Experience working with relational and non-relational databases, especially Postgres Experience with data and ML infra Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies Experience owning technically challenging and demanding projects End-to-End. Excited to tackle brand new technologies you’ve never worked with before and not afraid to do things that have never been done before Can write excellent, clean code and understand how to scale applications. You proactively identify opportunities to improve the maintainability, scalability and reliability of business-critical systems. Ability to make technical decisions quickly and concisely communicate your decision making process Bonus points Entrepreneurial mindset (we encourage all employees to be future founders and this can be a great stepping stone towards that). Benefits A competitive salary and Equity Package (0.5% - 1.5%) Interesting and challenging work Hardware of your choice with a budget of up to 3k 25 days of paid vacation A mobility subscription that reduces or offsets your emissions from commuting. A Spotify subscription so you can do your most productive work. A fitness subscription so you can clear your head in your time out of the office. Closing What It Will Be Like It won't be easy; in fact, it will be very hard. BUT, it will be a lot of fun. You will be directly involved in shipping incredible software to our customers, and you will see it make a difference in their daily lives. You need to be comfortable in being uncomfortable; timelines will change, priorities will most likely shift. ✨ Why work with us? Be at the forefront of what's possible in AI and Data infrastructure in Healthcare. Build a new data platform from the ground up. Early Team Member Opportunity: Join one of the boldest Pharmatech startups tackling the most challenging issue in therapeutic development today: Eroom's Law. Rapid Growth and Innovation : It's all about execution—not where you start, but how fast we are growing and iterating. Well-Funded Journey : We are well-funded and at the beginning of an exciting journey to break Eroom's Law and revolutionize drug development for the future. Intense Learning Environment : Be part of a tight-knit, intense team where you'll learn a lot and have ownership. Expert Team : Work with high-performing, smart ex-Fortune 500 veterans, shipping products to Fortune 500 companies. Impactful Work : Help transition the massive pharmaceutical economy online and advance the development of life-saving medicines. ️ What does the hiring process look like? We will usually respond to applicants before the end of the week, and within 72 hours of each interview. Applicants can expect the following: Intro call (~15 minutes) with Felix (Founding Engineer): Both candidate and Yendou get to know each other. Technical Coding Interview (45 minutes + 5 minutes for questions) Peer Coding session (90 minutes) with Felix: Collaborative working session on a product and system design problem Chat with Zina (our CEO) (~30 minutes): Evaluate cultural fit of the candidate + time for you to ask more questions A work trial (7h): Work trials are designed to help both sides make the right decision. The work trial is Onsite at our Berlin office Reference Check: Successful candidates will be moved to Reference Checks. We will reach out to you and ask for three professional references to contact about your professional experience. Offer: Successful candidates will subsequently be made an offer. Once the offer is ready, we will reach out to you to schedule a Zoom call to discuss its details.

Qualifikation: Arbeitskräfte

Verdienst:: n.a.

Bewerbung an: Yendou
Am Strandkai 1
De 20457 Hamburg

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