At Inceptive, you will drive development forward that could help billions of people. To accomplish this, you will be part of a collaborative, antedisciplinary team building our biological software.

Data is critical to everything we do at Inceptive. Our models are trained on data from a wide range of sources including, but not limited to, the many wet lab experiments we run internally.

You will play a pivotal role in building robust and scalable infrastructure to make our data accessible across the company. You will be responsible for supporting data integrity and quality control end-to-end from raw data collected across a range of lab instruments to data used to train machine learning models. Your work will enable individuals with diverse backgrounds, including machine learning, experimental biology, and business development, to leverage data to drive innovation and advance our mission.

Your Mission, should you choose to accept it

• Design and build infrastructure and tooling required for effective and unified data management across the whole company
• Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise
• Collaborate with team members from diverse backgrounds to build innovative and scalable experiments to solve complex problems that span biology and computation

Qualifications

• Demonstrated experience in designing, building, and managing data pipelines
• Experience with databases and a deep understanding of fundamental concepts
• Proficiency in software design, including the ability to identify appropriate abstractions and strike a balance between extensibility and development complexity
• Exceptional attention to detail in the validation and testing of corner cases
• Strong understanding of Python data structures
• Extensive experience in deploying and maintaining automation tools, such as Continuous Integration (CI) and scheduling tasks (e.g., cron jobs). Proficiency in working with development environments like Docker, Kubernetes, and Google Cloud Platform (GCP)
• Effective communication of technical and scientific concepts to team members from diverse backgrounds
• Availability to accommodate working with team members across different time zones, with one or two meetings per week starting at 8am PT or finishing at 7pm CET
• Readiness to travel several times a year for company retreats and business events
• We value the benefits of in-person collaboration and prefer candidates who can easily and regularly connect at one of our office locations
• Deep knowledge in your traditional area of expertise with a strong eagerness to apply your skills in the field of biology
• A proactive problem-solver who finds excitement in discovering creative solutions to complex problems and effectively executing them

Preferred Qualifications

• Familiarity with fundamental machine learning concepts
• Familiarity with basic biological concepts, including DNA, RNA, and proteins

Compensation

$105K – $240K Bonus Equity