Founding Engineer full-time Backend ML infra

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 threeperson team to build and ship the first Data Intelligenceempowered CRM enabling Clinical Operations teams to confidently deliver clinical trials to the right clinics and patients.

About Yendou

Yendou is the first Data Intelligenceempowered 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 dont know

More than 1/3 of this 12year 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 readytogo 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 SQLcompliant 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 endusers 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 operationcritical information.
• Monitor model performance and proactively identify model deficiencies
• Defining Product Roadmap:
• Were a small and autonomous team so youll 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 multistakeholder 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 fullstack code endtoend
• Expertise in programming languages such as Python Go and ML/NLP libraries such as PyTorch Tensorflow Transformers.
• Being proactive and a fastlearner with bias for action.
• Open source contributions and projects are a big plus.
• Experience working with relational and nonrelational 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 EndtoEnd.
• Excited to tackle brand new technologies youve 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 businesscritical 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.

What It Will Be Like

• It wont 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 whats 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: Erooms Law.
• Rapid Growth and Innovation: Its all about executionnot where you start but how fast we are growing and iterating.
• WellFunded Journey: We are wellfunded and at the beginning of an exciting journey to break Erooms Law and revolutionize drug development for the future.
• Intense Learning Environment: Be part of a tightknit intense team where youll learn a lot and have ownership.
• Expert Team: Work with highperforming smart exFortune 500 veterans shipping products to Fortune 500 companies.
• Impactful Work: Help transition the massive pharmaceutical economy online and advance the development of lifesaving 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:

1. Intro call (15 minutes) with Felix (Founding Engineer): Both candidate and Yendou get to know each other.
2. Technical Coding Interview (45 minutes 5 minutes for questions)
3. Peer Coding session (90 minutes) with Felix: Collaborative working session on a product and system design problem
4. Chat with Zina (our CEO) (30 minutes): Evaluate cultural fit of the candidate time for you to ask more questions
5. 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
6. 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.
7. 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.