Machine Learning Researcher, RNA Generative Modeling

At Inceptive, you will drive forward development that could help billions of people. To accomplish this, you will be part of a collaborative, antedisciplinary team building our biological software.More RNA sequences code for a single target protein than atoms in the universe. Each of these RNA sequences differs in ways that may radically affect how it performs when used in medicine. Faced with this search space, we believe machine learning is the only viable approach to RNA molecule design.We think broadly about the type and scale of data that our models need to design relevant RNA molecules and validate that data by evaluating its impact on our models. You will be responsible for driving this process with a focus on improving our models.You will work closely with experimental biologists to design and provide rapid feedback on datasets coming out of our lab. You will collaborate across disciplines, leveraging our in-house expertise in large-scale deep learning, biochemistry, molecular biology, drug development and other domains to improve our models through scalable data generation.Your Mission, should you choose to accept itEmbody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertiseWork closely with wet lab experimentalists to generate data for the training and evaluation of generative models of RNAAnalyze, visualize, and communicate results, providing rapid feedback to optimize the utility of datasets for the training and evaluation of ML modelsCreate, deploy, and refine tools for efficient, reliable data analysis in collaboration with software engineersProvide mentorship and technical direction to team members as appropriateQualifications3+ years experience with data-centric development of ML (ideally generative) modelsExperience evaluating ML models both offline and in productionFamiliarity with iterative model refinement via data acquisition/generationHighly capable programmer fluent in scientific Python ecosystemAvailability to work with team members across US and Europe, with meetings starting at 8am PTReadiness to travel several times a year for company retreats and business eventsWe value the benefits of in-person collaboration and expect candidates to primarily work at our office locationsPreferred technical skillsPhD in AI/ML, computer science, computational biology, physics, or a related experimental field, or equivalent practical experience (e.g., industry experience, research, or advanced technical expertise)Experience working with experimentalists to deliver quantitative, statistically robust results from experimentsExperience with a wide variety of data types encountered in molecular and cellular biology, such as sequencing, microscopy, chromatography, and time-course dataExperience with identifying and understanding biological data analysis artifactsKnowledge of biochemistry, molecular/cell biology, and drug developmentProven ability to push the limits of data generation by deconstructing and optimizing instrumentation and assaysExperience with analysis automation and data pipeliningCompensation$135K – $240K + Bonus + EquityWhat we offerA competitive compensation package30 days paid vacation per yearComprehensive health insurance and 401K with company match for US based Beginners, with comparable benefits for those based in other countriesQuarterly company-wide retreatsMonthly wellness benefitBudget for multiple visits per year to our offices in Berlin, Palo Alto or SwitzerlandLearning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and HoneA buddy to help you get settled*Varies by countryAt Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations. We are building a company culture centered around growth, learning, and discovery. We believe in humility and open-mindedness in how we approach each other, as well as problems we don't yet have solutions for.It is the policy of Inceptive to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Inceptive prohibits any such discrimination or ceptive is also committed to welcoming and providing accommodations to people with disabilities. Please let us know if you need any accommodations throughout your application process.Apply for this job*indicates a required fieldFirst Name *Last Name *Email *PhoneResume/CV *Enter manuallyAccepted file types: pdf, doc, docx, txt, rtfEnter manuallyAccepted file types: pdf, doc, docx, txt, rtfLinkedIn ProfileURL showcasing experience (Github, personal website, etc.) #J-18808-Ljbffr

Created: 2025-09-17