The Opportunity State-of-the-art technologies that measure multiple cellular aspects are at the heart of Insitro's efforts to accelerate drug development. Computational biology is key to translate measurements into actionable outcomes through clinically relevant insights derived from rich datasets generated in-house. We are looking to hire a new team member with expertise in omics-based analyses, including deep understanding of single cell transcriptomics (e.g. perturbation screens), and fluent with state-of-the-art analysis techniques (e.g. large scale atlas integration). Your expertise will help the team navigate the complexities of transcriptomics data and ensure that the tools being developed are accurate and effective, and that the analyses are performed to the highest rigor and in line with best practices in the field. In this role, you will directly impact all target prioritization efforts, advance our understanding of diseases and aid the development of new treatments. In general, as a computational biologist at insitro, you will be in charge of performing analysis of large scale datasets with an emphasis on multimodal measurements and data integration. You will utilize diverse machine learning and bioinformatic methods to perform downstream analysis and integrate omics, imaging, and human cohort data in order to extract insights about disease mechanisms. You will be part of a cross-functional team of life scientists, data scientists, bioengineers, software engineers, and machine learning scientists that strive to identify therapeutic targets and develop drugs of high efficacy and low toxicity. You will be joining a vibrant biotech startup that has long-term stability, due to significant funding, and is in a high growth phase, and you will have many opportunities for significant impact. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro's culture, strategic direction, and outcomes. Join us, and help make a difference to patients! Responsibilities <ul><li>Ph.D. in computational biology, systems biology, engineering, machine learning, or a related discipline, with 3+ years of working experience post graduation.</li><li>Extensive hands on experience analyzing single-cell and bulk RNA-seq data</li><li>Experience with spatial transcriptomics and/or proteomics</li><li>Some understanding of human physiology or disease biology (e.g. neurosciences, cancer biology).</li><li>Experience analyzing data from CRISPR-based experiments (i.e. perturb-seq)</li><li>Strong programming skills in scientific programming languages (i.e., Python)</li><li>Committed to writing well-commented code and documentation, and familiarity with coding best practices (i.e. version control, code review)</li><li>Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions</li><li>Publication record of meaningful contributions to high-quality work in relevant computational biology, systems biology, life sciences, or biomedical venues</li><li>Passion for making a difference in the world</li></ul> About You <ul><li>Experience working with diverse functional genomic assays data (RNA/ATAC/ChIP-seq, etc)</li><li>Hands on experience working with microscopy data or similar biomedical or biophysical imaging modalities</li><li>Understanding of systems biology approaches, including network analysis</li><li>First-hand experience studying diseases using omics or imaging data</li><li>Experience with proteomics and/or metabolomics data generated through mass spectrometry</li><li>Passionate about troubleshooting, asking questions and learning independently</li><li>Experience with modeling time-series datasets</li><li>Familiarity with cloud computing services (e.g., AWS or azure)</li><li>Demonstrated ability to write software in a team, industry experience or substantial involvement with open source projects.</li><li>Experience building infrastructure for data processing</li></ul> Compensation & Benefits at insitro Our target starting salary for successful US-based applicants for this role is $200,000 - $225,000. 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: <ul><li>401(k) plan with employer matching for contributions</li><li>Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees on our base plans), as well as mental health and well-being support</li><li>Open, flexible vacation policy</li><li>Paid parental leave</li><li>Quarterly budget for books and online courses for self-development</li><li>Support to occasionally attend professional conferences that are meaningful to your career growth and development</li><li>New hire stipend for home office setup</li><li>Monthly cell phone & internet stipend</li><li>Access to free onsite baristas and cafe with daily lunch and breakfast</li><li>Access to free onsite fitness center</li><li>Commuter benefits</li></ul> 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. We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams-grounded in a wide range of expertise and life experiences-and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process. 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, oncology 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.

Summary: The successful candidate will possess strong analytical aptitude, have a high degree of technical competency in computational sciences with a deep theoretical understanding of AI/Client and causal learning paired with an excellent understanding of molecular biology proven by a track record of innovative and collaborative research. Responsibilities will include, but are not limited to:<ul> <li>Develops computational integrative omics models for the inference of multi-dimensional immunological signatures that can serve as pharmacodynamic and predictive biomarkers.</li> <li>Identifies opportunities and delivers appropriate quantitative methods, such as AI/Client and causal learning, to push the state of the art for omics-based research biomarker discovery.</li> <li>Enables and executes silico perturbation analyses to predict cellular response to drug or genetic perturbations.</li> <li>Develops innovative cloud-native bioinformatics workflows for rapid and sustainable omics data processing, quality control, and multi-omics data integration for systemic insights generation of disease biology and therapeutic mode of action.</li> <li>Works cross-functionally with stakeholders and domain experts to build a comprehensive catalog of gene signatures for all company relevant therapeutic areas.</li> <li>Interprets and reports on multi-dimensional studies using bulk, single-cell, and spatial omics technologies that will accelerate the pace of research biomarker discovery and translation in early drug discovery across all Tas.</li> <li>Collaborate with engineers, data scientists, and research scientists to develop innovative bioinformatics tools that facilitate data access, model utilization, and output interpretation.</li></ul> Education: <ul> <li>PhD in computer science, data science, computational biology or bioinformatics, preferably including industry experience OR Master's degree & 5+ years of directly related experience OR Bachelor's degree & 7+ years of directly related experience</li></ul> Preferred Qualifications:<ul> <li>Deep experience in and theoretical understanding of statistical modeling, machine learning, deep learning, causal learning, and other relevant quantitative methods.</li> <li>Knowledge in molecular biology.</li> <li>Experience in integrative analysis of omics data, including single-cell and spatial sequencing data.</li> <li>Experience with in silico modeling of cellular response to drug or genetic perturbations.</li> <li>Fluency in scientific programming and tool development with R, Python, or equivalents.</li> <li>Proven record of innovative thinking to propose and champion the development of Client algorithms and AI/Client models that generated interpretable and actionable results for biomarker discovery.</li> <li>Familiarity with DevOps and software best practices (i.e., version control, continuous integration, test driven development)</li> <li>Experience with cloud computing</li> <li>Creative, open-minded, and passionate about scientific research</li> <li>Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy</li> <li>Demonstrated ability to thrive in a team environment</li> <li>Strong interpersonal, collaborative, organizational, and presentation skills</li> <li>Excellent communication skills (written and verbal)</li> <li>Understanding of molecular biology of inflammation is a plus</li></ul> Top 3 Must Have Skill Sets:<ul> <li>Deep experience in and theoretical understanding of statistical modeling, machine learning, deep learning, causal learning, and other relevant quantitative methods;</li> <li>Proven knowledge in molecular biology (knowledge of inflammation biology is a major plus);</li> <li>Experience in integrative analysis of omics data for modeling of biological systems, including analysis of single-cell and spatial sequencing data; ideally experience with in silico modeling of cellular response to drug or genetic perturbations</li></ul> Compensation: The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on a number of factors, including but not limited to, a candidate's qualifications, skills, competencies, experience, location and end client requirements). Benefits and Ancillaries: Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.

Lets do this. Lets change the world. We are actively seeking a highly qualified and motivated Data Scientist with a strong background in Computational Biology. The data scientist will join the Bioinformatics Technology team within Clients Center for Research Acceleration by Digital Innovation (CRADI). CRADI is a multi-disciplinary effort embedded within our drug discovery engine that continually uses advancement in digital technologies for disease modeling and digital modality engineering to accelerate our pipeline from target inception through drug development. Bioinformatics Technologies plays a pivotal role within CRADIs Computational Biology and Bioinformatics function, establishing an innovation engine for deploying and exploiting emerging digital technologies in the field of computational biology. Biomarker-driven drug discovery emerges as a cornerstone of precision medicine, advancing the trajectory of therapeutic development and expediting the transition from bench to bedside. In this role you will develop and implement computational models on multi-modal, multi-omics data to enable discovery of research biomarkers. This position will involve close collaborative relationships with scientists within pre-clinical research and clinical biomarkers as well as data scientists and engineering partners across Client R&D. An ability to communicate clearly and collaborate effectively with colleagues from different fields will be essential. The successful candidate will possess strong analytical aptitude, have a high degree of technical competency in computational sciences with a deep theoretical understanding of AI/Client and causal learning paired with an excellent understanding of molecular biology proven by a track record of innovative and collaborative research. Responsibilities will include, but are not limited to: * Develops computational integrative omics models for the inference of multi-dimensional immunological signatures that can serve as pharmacodynamic and predictive biomarkers; * Identifies opportunities and delivers appropriate quantitative methods, such as AI/Client and causal learning, to push the state of the art for omics-based research biomarker discovery; * Enables and executes in silico perturbation analyses to predict cellular response to drug or genetic perturbations; * Develops innovative cloud-native bioinformatics workflows for rapid and sustainable omics data processing, quality control, and multi-omics data integration for systemic insights generation of disease biology and therapeutic mode of action; * Works cross-functionally with stakeholders and domain experts to build a comprehensive catalog of gene signatures for all Client-relevant therapeutic areas; * Interprets and reports on multi-dimensional studies using bulk, single-cell, and spatial omics technologies that will accelerate the pace of research biomarker discovery and translation in early drug discovery across all TAs; * Collaborates with engineers, data scientists, and research scientists to develop innovative bioinformatics tools that facilitate data access, model utilization, and output interpretation Experience: PhD in computer science, data science, computational biology or bioinformatics, preferably including industry experience OR Masters degree & 5+ years of directly related experience OR Bachelors degree & 7+ years of directly related experience Preferred Qualifications: * Deep experience in and theoretical understanding of statistical modeling, machine learning, deep learning, causal learning, and other relevant quantitative methods; * Knowledge in molecular biology; * Experience in integrative analysis of omics data, including single-cell and spatial sequencing data; * Experience with in silico modeling of cellular response to drug or genetic perturbations; * Fluency in scientific programming and tool development with R, Python, or equivalents; * Proven record of innovative thinking to propose and champion the development of Client algorithms and AI/Client models that generated interpretable and actionable results for biomarker discovery; * Familiarity with DevOps and software best practices (i.e., version control, continuous integration, test driven development); * Experience with cloud computing; * Creative, open-minded, and passionate about scientific research; * Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy; * Demonstrated ability to thrive in a team environment; * Strong interpersonal, collaborative, organizational, and presentation skills; * Excellent communication skills (written and verbal); * Understanding of molecular biology of inflammation is a plus

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