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The company
At Invert, we are on a mission to dramatically reduce the dollar and time cost of using biology to manufacture ~everything. Our customers use bioprocessing to do things like: produce new therapies to combat disease, create new biomaterials to solve the environmental crisis, and manufacture essential chemicals cleanly. We provide them with tools to automate the design, execution, and analysis of all that amazing work!
The Invert team is comprised of creative and talented engineers, data scientists, biologists, and more, and we are supported by amazing investors. We value diversity and welcome individuals from all backgrounds to join our remote-first, collaborative environment.
The team
You will be joining our Data Science team, working on groundbreaking applied research solutions that not only set new industry standards but also redefine the boundaries of possibility for our customers. Your work will be at the forefront of innovation, pushing the limits of what's achievable in bioprocessing and shaping the future of our field.
The roleMission
As a Staff Data Scientist, you will lead the development of models and algorithms. You will be responsible for selecting and applying the right models, preparing datasets, and identifying opportunities to build large foundational models specific to bioprocess data. In this role, you will contribute through hands-on work, push the scientific bar with reproducible and well-documented research, and ship models that will multiply speed and product for our customers.
Competencies
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Analytical: Exceptional problem-solving skills and a deep understanding of data science methodologies
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Ambitious: Intrinsically motivated, driven to succeed
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Track record: Has shown leadership and vision in the bioprocess industry with published research
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Communicates effectively: Ensures that the right information gets to the right people at the right time
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Innovates: Constantly brings new ideas and approaches to improve bioprocess outcomes
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Takes ownership: Takes accountability, prioritizes team success
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Technically skilled: Proficient in time series forecasting, optimization, neural networks, feature engineering, statistical techniques, linear algebra, hybrid modelling, fluid dynamics, adaptive experimentation, bayesian methods
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Technically productive: Delivers high-quality results with a focus on velocity
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Trustworthy: Acts in the company’s best interests
The package
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High-growth startup with impactful work
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Fully remote, distributed across US and European timezones
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Competitive salary, equity, and benefits
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New laptop, monitor, and accessories of your choice
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Frequent team off sites
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Unlimited PTO
The interview process
The interview process consists of the four stages described below. Candidates are assessed between each of these stages. The hiring manager is responsible for communicating decisions and next steps throughout the process. We aim to complete all stages within two weeks.
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Discovery: A 30-minute conversation with the hiring manager to determine whether there is mutual interest in moving forward.
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Bioprocess and Data Science Competencies: A 60-minute deep dive technical conversation with a team data scientist to assess bioprocess and data science theory competencies.
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Technical Competencies: A 90-minute working session with two employees to assess python coding competencies.
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Non-Technical Competencies: Two 60-minute interviews with two different employees to assess non-technical competencies.
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References and Founder Chat: Three 15-minute conversations between the hiring manager and previous colleagues to gather external input. Simultaneously, a 30-minute meet-and-greet with one or both of the founders (depending on whether they have already participated in previous interviews).
