Senior Data Scientist

Key Skills

Python Programming, Pandas, R Programming, plotly, Large scale data processing, Data pipelines

Job Description

At Reverie Labs, we’re building a pharmaceutical company from the ground up using computation—we’re a biotech company that looks and feels like a tech company. We’re looking for Senior Data Scientists to dive headfirst into our varied data sources, including both external and in-house data, and build tools, visualizations, and analyses that enable our team to create life-saving cures. At Reverie, Data Scientists will work side-by-side with ML engineers, physics-based modelers, and medicinal chemists to achieve drug discovery objectives. We are looking for mission-driven individuals that are eager to bring ideas from conception to reality.

Do the following sound like fun challenges to you? If so, we’d love to hear from you!

• Using Pandas/R/Plotly/Dash or any other of your favorite analysis tools to extract meaningful insights from datasets.
• Combining a set of 25+ in-house experimental assays and 50+ external data streams into a universally accessible data platform. 
• Working hand-in-hand with chemists to understand compounds by building tools and visualizations that reflect dataset statistics.
• Building highly-performant data processing tools to analyze billions of data points. 
• Developing outlier detection mechanisms to determine whether a data point is likely the result of experimental error.
• Interfacing closely with machine learning engineers to ensure that regularly-updated datasets are clean, well-structured, and ready for weekly updates and deployments.
• Using a modern cloud-first development stack, giving you access to effectively infinite computing power. 

We don’t have a hard set of background requirements, but generally we most value skills and experience in the following areas:

• Visualization: Expert level knowledge of Python-based visualization tools. Non-python tools like R are also fine. 
• Statistical Knowledge: Familiarity with probability distributions, sampling methods, and other statistical concepts.
• Data Engineering: Knowledge of data pipelining and storage tools to enable large-scale data processing workflows.
• We are looking for applicants with 3+ years of industry (tech or biotech) experience or deep technical expertise in an academic setting. 
• No biology/chemistry experience is required, but interest or experience is helpful!
• Most importantly, an eagerness to learn new skills, wear many hats, and collaborate closely with a growing team of people.