Machine Learning Researcher, RNA Generative Modeling

Inceptive; Palo Alto (CA); On-site; USD 135,000 - 240,000; Full time

Job summary

A leading company in biotech seeks an experienced professional to contribute to the development of innovative biological software. The position focuses on the data-centric development of generative machine learning models, requiring extensive collaboration with experimental biologists and a deep commitment to improving biological and computational methodologies. If you are ready to take on the challenge and drive significant advancements in the field of RNA design, this opportunity is for you.

Benefits

30 days paid vacation per year

Comprehensive health insurance

401K with company match

Quarterly company-wide retreats

Monthly wellness benefit

Learning & Development budget

Access to EdX and Hone

Qualifications

• 3+ years experience in data-centric ML model development.
• High proficiency in programming within the scientific Python ecosystem.
• Experience in evaluating ML models both offline and in production.

Responsibilities

• Drive the process of improving models through scalable data generation.
• Analyze, visualize, and communicate results for ML models.
• Mentor team members and provide technical direction.

Skills

Machine Learning

Data Analysis

Collaborative Work

Programming in Python

Experimental Biology

Education

PhD in AI/ML, computer science, computational biology, physics, or related field

Job description

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 it

• Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise
• Work closely with wet lab experimentalists to generate data for the training and evaluation of generative models of RNA
• Analyze, visualize, and communicate results, providing rapid feedback to optimize the utility of datasets for the training and evaluation of ML models
• Create, deploy, and refine tools for efficient, reliable data analysis in collaboration with software engineers
• Provide mentorship and technical direction to team members as appropriate

Qualifications

• 3+ years experience with data-centric development of ML (ideally generative) models
• Experience evaluating ML models both offline and in production
• Familiarity with iterative model refinement via data acquisition/generation
• Highly capable programmer fluent in scientific Python ecosystem
• Availability to work with team members across US and Europe, with meetings starting at 8am PT
• Readiness to travel several times a year for company retreats and business events
• We value the benefits of in-person collaboration and expect candidates to primarily work at our office locations

Preferred technical skills

• PhD 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 experiments
• Experience with a wide variety of data types encountered in molecular and cellular biology, such as sequencing, microscopy, chromatography, and time-course data
• Experience with identifying and understanding biological data analysis artifacts
• Knowledge of biochemistry, molecular/cell biology, and drug development
• Proven ability to push the limits of data generation by deconstructing and optimizing instrumentation and assays
• Experience with analysis automation and data pipelining

Compensation

$135K – $240K + Bonus + Equity

What we offer

• A competitive compensation package
• 30 days paid vacation per year
• Comprehensive health insurance and 401K with company match for US based Beginners, with comparable benefits for those based in other countries
• Quarterly company-wide retreats
• Monthly wellness benefit
• Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland
• Learning & 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 Hone
• A buddy to help you get settled

*Varies by country

At 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 harassment.

Inceptive 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.

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