(Senior) Machine Learning Scientist, Oligonucleotides
insitro
- United States
- United States
Über
We are looking for a
Machine Learning Scientist
who will be hands‑on using our TherML platform to drive design on multiple oligonucleotide therapeutic programs while directly contributing to the development of our platform and ML models. This role offers an opportunity to translate cutting‑edge ML into real‑world impact on drug discovery. The role reports to the
Senior Manager, Molecular Machine Learning
and is a flexible hybrid (2 days per week in office) or remote (1 week per quarter on‑site) role.
Responsibilities
Work with industry‑leading knockdown and off‑target datasets to train and finetune foundation nucleotide models
Develop oligonucleotide generative AI methods for on‑target knockdown and off‑target gene misregulation
Collaborate with computational chemists to apply MD simulation and other in‑silico modeling approaches to optimize oligonucleotide design based on RNA‑protein interactions
Collaborate with software engineering teams to build robust pipelines for active/iterative learning and automated DMTL cycles
Directly shape the roadmap for our TherML platform's evolution
Integrate AI To Drive Our Oligonucleotide Discovery Programs
Collaborate cross‑functionally with machine learning scientists and oligonucleotide scientists to design and prioritize novel compounds using model outputs
Apply predictive models and AI‑enabled design methods to solve real molecular optimization challenges across multiple therapeutic programs
Track performance of our on‑target knockdown and off‑target models on discovery programs and translate those insights into model improvements
Communicate model capabilities, results, limitations, and recommendations clearly to diverse stakeholders in regular discovery team meetings
About You
PhD in computational biology, computer science, machine learning, cheminformatics, or related field
0‑3+ years of industry experience applying machine learning to oligonucleotide therapeutic discovery
Strong programming skills in Python and modern deep learning frameworks (PyTorch or TensorFlow)
Demonstrated expertise in developing deep learning and/or generative AI methods for RNA and/or DNA
Understanding of RNA structure, siRNA/ASO mechanism of action, and mRNA design
Proficiency with genomic sequence analysis across species
Excellent communication skills with ability to translate technical concepts to diverse audiences
Familiarity with oligonucleotide therapeutics discovery process and design methods
Compensation & Benefits At Insitro Our target starting salary for successful US‑based applicants for this role is $185,000 - $235,000. Starting pay is determined by multiple factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. A range may be adjusted in the future based on market data.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.
Benefits
401(k) plan with employer matching for contributions
Excellent medical, dental, and vision coverage as well as mental health and well‑being support
Open, flexible vacation policy
Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc.)
Quarterly budget for books and online courses for self‑development
Support to attend professional conferences that are meaningful to your career growth and role's responsibilities
New hire stipend for home office setup
Monthly cell phone & internet stipend
Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid
Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area
insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
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Sprachkenntnisse
- English
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