Head of Machine Learning, Cell Biology

Head of Machine Learning, Cell Biology role at insitro

Overview

insitro's mission is to use AI and machine learning to develop medicines for patients with diseases that have little to no effective treatment. As a field, drug discovery and development has faced a decades-long decline in productivity characterized by high failure rates in the clinic, primarily due to a lack of understanding the underlying biology of disease. This is despite billions spent to build models of biology, whether in the lab or animal models, to predict clinical success. Ultimately, we need better predictive models.

With this vision, insitro has built a target and biology discovery engine, which combines high throughput, multimodal cellular phenotyping and perturbation data generation with novel machine learning and AI methods. As Head of CellML, you will lead the team of ML scientists and engineers that will develop methods capable of generating biology insights from multiple data modalities collected at scale, spanning live and fixed microscopy imaging, and diverse omics assays (scRNA, proteomics, spatial). You will also partner with our laboratory leadership to co-develop the next generation of high-scale perturbation cellular assays ranging from Optical Pooled Screening, live-cell staining imputation, Perturb-seq, and more. Finally, you will collaborate with our therapeutic area leaders to design the right experiments and analyze the data so as to advance our therapeutic pipeline.

You will be joining a well funded AI biotech that has established a pipeline of therapeutic candidates and is expanding into a growing array of disease areas. We are looking for leaders who can develop a culture combining science, machine learning, and engineering. This role will report to our Head of Compute and is a hybrid role, requiring you to be in our South San Francisco headquarters at least three days per week.

Responsibilities

• Work collaboratively with our Drug Discovery leaders on the strategy for deployment of advanced ML to empower target discovery and biological insights, driving the design of experiments that generate data that enables the use of advanced ML methods
• Lead and grow a team of outstanding machine learning scientists
• Onboard and develop ML and bioinformatic methods for interpreting complex multi-modal perturbation data. Relevant topics include representation learning, contrastive approaches to isolating salient features, disentanglement approaches for interpretability and statistical power, multi-modal embedding, uncertainty modeling, and more.
• Lead yearly and quarterly planning, set impactful goals, and align with cross-functional stakeholders
• Engineer robust, reusable platform components in partnership with the software engineering team
• Work with our platform biology and automation teams to advance our platform capabilities, including both : (i) the development of new wet lab capabilities and (ii) the advancement of new ML methods, including by generation of data explicitly designed for training ML models
• Collaborate with the corporate development and strategy teams to drive discussions with potential external partners and maximize the value created by our platform technologies

About You

Technical skills :

Leadership experience :

Compensation & Benefits

Our target starting salary for successful US-based applicants for this role is $315,000 - $360,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range 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.

In addition, insitro also provides our employees :

About Insitro

insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit www.insitro.com.

Job Details

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