Senior Applied Scientist: Machine Learning For Genomics

The key to insitro’s approach to rethinking drug development is the use of cutting edge machine learning to model the space of cell states in health and disease. To enable that, we produce high-quality, high throughput, genomic data of iPSC-derived cellular disease models under genetic and chemical perturbation. We integrate this data with patient genotypes and clinical and molecular phenotypes to identify molecular targets for impactful therapeutics.
As an applied Machine Learning Scientist for Genomics, you will develop and apply cutting edge methods to analyze multi-dimensional, multi-modality data to uncover new disease biology. You will work with high quality multi-omic data, such as RNA-seq, of cells from diverse genetic backgrounds under genetic and chemical perturbations. You will work closely with a cross-functional team of life scientists, bioengineers and machine learning scientists to design and analyze in-house experiments. You will integrate genomic data with other data modalities, such as microscopy and genetics, to investigate iPSC-derived cellular models of various diseases. Finally, you will analyze genetic and multi-omic data from human cohorts and combine it with our in-house results to identify therapeutic targets and develop drugs that have high efficacy and low toxicity. 
You will be joining an agile and fast growing biotech startup that has long-term stability due to significant funding. You will have ample 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!

About You- Ph.D. in computational biology, genetics or a related discipline, or equivalent practical experience- 3-5+ years demonstrated experience using and developing cutting-edge methods for analyzing NGS sequencing datasets,  and integrating these with genetic data to identify novel therapeutic targets.- Strong fundamentals in applied multivariate statisticsa record of high-impact publications- 3+ years of industry experience- Strong programming skills in Python, or strong programming skills in R and experience in Python- Interest in uncovering novel disease biology- Experience with modeling sequencing artifacts (e.g. GC content, fragment length bias, overdispersion, etc.) and interpretation of QC measurements to guide assay development- Experience with version control practices and tools (e.g. Git)- Proficiency in working with large-scale datasets in Linux/Bash and experience working with large numbers of samples and modern workflow management frameworks (Snakemake, Cromwell/CWL/WDL, NextFlow, etc)- Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions in a fast-paced startup environment- Passion for providing better medicine to patients in need

Nice to Have- Experience working in CRISPR based assays and in drug discovery.- Expertise in deep-learning modeling and computer vision; familiarity with common deep learning toolkits such as tensorflow, pytorch, keras- Expertise with NGS data processing tools (samtools, GATK, IGV, etc)- Experience working in cloud-based computing environments (especially AWS) or HPC systems (e.g. using SLURM) - Experience analyzing various NGS sequencing datasets, such as: variant calling from WGS/WES and extracting signal from functional genomic assays (RNA/DNase/ATAC/ChIP-seq, etc)- Experience working with genetic data, genotype imputation, LD expansion and quantitative trait loci (QTL) analysis- Domain knowledge in immunological, neurological or metabolic disorders- Experience developing or helping develop novel genomic assays- Experience with C/C++ or other compiled, statically typed languages- Experience with database languages (e.g., SQL).

Benefits at insitro- Excellent medical, dental, and vision coverage; insitro pays 100% of premiums for employees- Excellent mental health and well-being support- Open vacation policy- Access to free onsite baristas and cafe with daily lunch and breakfast- Access to free onsite fitness center- Commuter benefits- Paid parental leave- Competitive pay and 401(k) matching- Flexible work schedule (on site and remote)
About insitroinsitro is a data-driven drug discovery and development company using machine learning and data at scale to transform the way that drugs are discovered and developed for patients. insitro is developing predictive machine learning models to discover underlying biologic state based on human cohort data and in-house generated cellular data at scale. These predictive models can be brought to bear on key bottlenecks in pharmaceutical R&D to advance novel targets and patient biomarkers, design therapeutics, and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of biologic insights and molecules in neuroscience and metabolic diseases. Since formation in mid 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 the company’s website at www.insitro.com.