Search the 20 jobs at Insitro

Associate Scientist II / III position focused on supporting target discovery, validation, and drug discovery efforts in metabolic dysfunction-associated steatotic liver disease (MASLD). Responsibilities include cell line culture, cell-based assays, molecular biology experiments, documentation, and collaboration with team members. Bachelor's/Master’s degree in relevant scientific area and 5 years of experience for Bachelor’s or 2 years for Master’s required. Strong organizational skills and ability to work independently or as part of a team. Compensation: $90,000-$120,000 per year with additional benefits including 401(k), medical coverage, paid parental leave, and self-development support.

As a Software Engineer in the ChemiSWE team at insitro, you will work on building software for efficient storage, processing, and analysis of massive datasets of chemical matter. Collaborate with a cross-functional team on various problem domains and ensure scalability, correctness, and robustness of scientific software engineering tools.

Lead cross-functional drug discovery projects in the Metabolic Disease therapeutic area focusing on obesity and liver diseases. Conceptualize strategies for drug discovery and target intervention using unique insights and industry-standard models. Provide leadership, communication, and collaboration in building a portfolio of therapeutic assets.

The Microscopy Support Engineer at insitro will be responsible for maintaining and ensuring the proper functioning of the microscopy fleet, supporting biological and data science teams, and developing bias-free dataset creation methods. The role involves working on preventive maintenance, developing predictive maintenance methods, interfacing with different teams, and contributing to the advancement of microscopy technologies.

Lead the design and execution of ML-enabled clinical trials, integrate patient perspective into disease modeling and drug discovery efforts, collaborate with data science and machine learning teams, prepare IND-enabling data packages, and contribute as a clinical area expert in neuroscience.

The VP Regulatory position at insitro involves leading global regulatory strategy informed by machine learning across various medical areas to support the development of therapeutics and diagnostics. The role includes building and leading the regulatory function, designing innovative regulatory strategies, serving as a global regulatory lead, and influencing emerging regulatory policies for artificial intelligence and machine learning.

Lead clinical trial design and execution for new therapies and diagnostics for metabolic diseases. Develop and oversee rapid clinical trials of diverse therapeutic modalities and companion digital biomarkers. Implement innovative clinical trials using machine learning to advance drug development. Responsible for building and leading the clinical function for metabolic disease and collaborating with data science and machine learning colleagues.

Lead a team of Product Managers to drive development of lab and data platforms for drug discovery work at insitro. Define vision and strategy, mentor team, and collaborate cross-functionally to ensure excellence in product development. Join a biotech startup with long-term stability and meaningful impact opportunities.

Lead automation workflows in a biotech startup for high-quality biological and chemistry data generation. Build and manage automated processes, oversee team, develop robust experimental processes, and collaborate with data engineering teams for cohesive system architecture.

Lead a team in investigating target regulation pathways using advanced cellular and biochemical assays in drug discovery. Serve as a subject matter expert for bioanalytical assay design and data interpretation. Collaborate with cross-functional teams to drive innovation and impact in the field of drug discovery.

The Opportunity

At insitro, we are trying to greatly increase the success rate of drug development by combining human biology, lab automation, and machine learning, at scale.

Central to insitro's thesis is our ability to integrate rich datasets across modalities. From live cell imaging to single-cell RNA sequencing to DNA encoded libraries, insitro generates a diverse and ever growing torrent of data. Our team, Scientific ...

As a (Senior) LIMS Systems Analyst, you will oversee the creation of data and analysis architecture to support drug discovery efforts. You will work with lab teams to gather requirements and propose solutions, configure tools such as Spotfire and Benchling, and collaborate with various teams. The role requires 4+ years of experience in data analysis or engineering within a scientific or laboratory environment, proficiency in Spotfire and Revvity Signals, and strong interpersonal skills.

Develop and maintain data generation, quality control, and data pipeline stack. Ensure integrity and usability of imaging data. Collaborate with cross-functional teams to design and implement data exploration platform. Contribute to enabling science at scale in drug development.

Seeking a data-driven DEL leader to guide molecular strategies using DEL data, accelerate preclinical programs, and implement Machine Learning in drug discovery.

The Opportunity

insitro is changing the way that drugs are discovered and developed for patients. We are building a platform that generates novel insights from applying machine learning to a combination of high-quality cellular data generated in-house, and externally sourced human cohort data.

We are looking for a finance leader with a strong financial acumen and demonstrated Anaplan system experience in executin...

Seeking a Compbio Data Scientist with expertise in omics-based analyses, single-cell transcriptomics, and state-of-the-art analysis techniques. Responsible for analyzing large-scale datasets, integrating omics data, and extracting insights about disease mechanisms. Collaborate with cross-functional team to identify therapeutic targets and develop effective drugs.

Develop machine learning methods for omics readouts in domains such as single cell transcriptomics, spatial omics, and multi-omics. Impact target prioritization efforts and advance understanding of diseases. Work in a cross-functional team to identify therapeutic targets and develop drugs.

Collaborate with teams to develop and deploy machine learning methods for small molecule drug discovery. Lead a team of machine learning scientists. Engineer platform components and design experiments for training ML models.

Seeking an experienced patent attorney to lead intellectual property efforts in developing and executing a robust intellectual property strategy. Responsibilities include patent portfolio development, trademark portfolio management, IP rights clearance & licensing, and more. This role requires exemplary leadership, collaboration, and communication skills. Position based in South San Francisco with a hybrid work approach.

Seeking a dynamic and highly motivated corporate attorney to join as Assistant General Counsel at insitro. Responsible for leading transactions and operational activities, providing legal support for various agreements, managing compliance programs, and supporting clinical development efforts. Must have exemplary leadership and communication skills with a business-oriented approach.