About OneThree Biotech:
OneThree Biotech is a start-up experiencing a new, exciting phase of growth as we enter a close on another multi-million dollar round of funding.
Our goal is to become the next-generation pharmaceutical company by continuing to leverage our AI-powered, drug discovery technology that drastically increases the chances of a therapeutic becoming available to the patients that need them the most. Weâve already been recognized for our traction by being selected for the Reuters “Most Valuable '' award(s) over large pharma companies like Sanofi, Biogen, Genentech, and more. Importantly, weâve seen our technology have a direct impact on patients lives: https://people.com/health/teacher-brain-tumor-week-to-live-now-thriving/
Weâre excited to add an ambitious and passionate person to our team who is excited about our mission and wants to make their own mark on a major, positive shift in medicinal discovery.
More about us:
Currently developing a single new drug can take over $1B and 15 years, with over 96% of drugs failing along the way. This is why over 70% of all known diseases have no treatments and millions of patients are left with no viable treatment options.
At OneThree Biotech we are changing this using biology-driven AI. Founded after members of our team lost family members to rare cancer, the team at OneThree has spent the last 10+ years researching how we can combine AI with systems biology to stop this from happening to anyone else. Weâre building a platform to not only predict new potential therapeutics, but also to pinpoint the mechanisms driving efficacy, and we pride ourselves on building a new form of biology-driven AI that values interpretability as much as accuracy. In our new phase of growth, weâll grow long-term partnerships with industry leaders and continue the development of our own drug pipeline, currently focussed on Oncology.
About the Role:
It all starts with our data! Data is core to OneThreeâs strategy and business. You will work to help develop and grow a backend data infrastructure to both support OneThreeâs AI scientists and platform, internal drug discovery efforts as well as external-facing partnerships. You will have the opportunity to work with cutting-edge data tools and be part of a team working on the cutting edge of machine learning + biology.
The ideal candidate will have an entrepreneurial mindset, be comfortable with creative problem solving, and will be excited to work on building a data processing pipeline from the ground up in a flexible, fast-paced environment. This is a rare opportunity to get in at the early stage and have a real impact on both product and strategy. If working on challenging problems that have a real positive impact excites you, then OneThree is the place for you!
Responsibilities:
- Help expand our data pipelines to incorporate a greater quantity and range of datasets. At the outset, this would be your primary responsibility.
- Apply a keen eye to questions of data quality. If you enjoy projects where you take messy data and help people get more value out of it by reworking it, then this could be the job for you!
- Help improve our dataset mapping process – this is fairly intricate and novel, and is key to everything we do. This is an area where your ability to think through complex and abstract concepts will be particularly useful.
- Help solve ongoing challenges of scale. We have learned how to operate with datasets that can reach tens of terabytes in size, but new scaling challenges will continue to pop up and you can help solve them.
- Continuously improve our system to reduce the effort and cost required to add new datasets, improve its reliability, add new features, etc.
- We are always open to letting engineers grow their skills by working in additional areas of our tech! See further notes under âCurrent Stackâ below for a sense of how our team might expand.
Why should you work here?
Here are a few reasons that stand out:
- Weâre developing drugs that will make a hugely positive difference in patientsâ lives, and weâve already seen both technical and business traction.
- At the same time, the application of artificial intelligence to drug discovery is in its infancy, so there's a massive opportunity to create new innovations and technical refinement.
- In many ways, the work you will perform will be an industry first and likely become an industry standard.
- Our data system is cloud-native and uses several advanced technologies. We intend to continue to evaluate and incorporate new tech whenever we see a compelling benefit.
- We have a positive culture supported by our friendly and capable team members..
Qualifications weâre looking for:
Minimum Requirements
- You have 2+ years of software engineering experience, with at least 1 year performing data engineering tasks (ie: building repeatable processes to transform/store/analyze data)
- You have a strong command of SQL
- You have experience with an interpreted language, with a strong preference for Python.
- Youâre an effective technical communicator. You can explain what youâre doing to somebody without your level of expertise in a way that they can understand it.
Preferred but not required:
- Degree(s) in technical fields.
- Experience with cloud providers, bonus points if Google Cloud.
- Experience with Apache Airflow
- Basic understanding of ML (you wonât need to design models, but a basic understanding of how ML works would be helpful)
- Prior experience at a startup and/or in biotech would be a plus but is certainly not required.
Current Stack:
- Apache Airflow (Cloud Composer)
- Python
- SQL (both Postgres and BigQuery)
- Google Cloud Platform
- Google Cloud Dataflow (Apache Beam)
- Google Compute Engine
- Docker
- Weâll continue to add to this over time. Things just over the horizon for the Data Engineering team include:
- An internal website for managing our jobs/schemas
- Tools for managing ML models/jobs
- A compiled language (possibly Go) for specific high-performance cases
- Tools for maintaining robust security
- Possibly additional database technologies to support our ever-growing scale
Benefits:
- Remote-friendly company culture. The majority of our employees and one of the executive members are remote. Remote employees have the benefit of quarterly company-sponsored trips. Team members who prefer a hybrid work environment also have that option.
- Comprehensive Healthcare, Dental, and Vision (select from many options)
- 25 days PTO (inclusive of 2 companywide weeks off)
- 401K with company match
- Access to a Flex spending account
- Access other insurance options (Life, AD&D, Disability)
- Flexible work environment
