Sr. Scientist of Computational Biology/Bioinformatics | Cambridge, OH

chronic diseases. FL84, Inc. is a privately held early-stage company that is applying advanced biological and computational platforms to discover breakthroughs in detection of and intervention against the etiologies that drive progression from health to disease.

Our goal is to leverage our proprietary platforms to disrupt the current approach of treating chronic disease too late. We endeavor to provide true health care rather than sick care to individuals that are at risk of progressing to disease. Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since

its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity's most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.

Flagship has been recognized twice on FORTUNE's " Change the World" list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has

been twice named to Fast Company's annual list of the World's Most Innovative Companies.

Learn more about Flagship at . Position Summary: We are seeking a Sr. Scientist of Computational Biology/Bioinformatics who is enthusiastic about developing, learning and applying computational skills to understand complex biological systems and their relationship to clinical state changes. The candidate will improve and apply FL84's methods to biological data, including single-cell/nuclei RNAseq, proteomics, spatial transcriptomics and clinical data. The role will focus on two main areas: (1) application of machine learning to uncover disease mechanisms and identify novel therapeutic targets; and (2) exploration and processing of large, multimodal datasets to develop pipelines for preemptive clinical discovery.

An ideal candidate will pride themselves on their ability to craft scientifically logical and creative stories out of complex data and convert them into executable experiments. The position will provide a unique opportunity to play a foundational role in the development of FL84's preclinical platform and treat diseases before they become a burden to the patient or the healthcare system. Key Responsibilities: Develop and apply bioinformatics, computational biology, and machine learning tools to generate insights and hypotheses from high-dimensional molecular datasets Work with FL84's biology team to interpret the output of computational tools in the context of specific disease areas Identify and incorporate internal and external datasets to address questions critical to FL84's core objectives and generate testable hypotheses Ideate on how to align time-series biological data with clinically relevant inflection points identified in electronic health records, clinical trials, or other sources Establish pipelines to process large-scale molecular datasets and prioritize targets for biological validation Develop clear, intuitive visualizations and communicate analysis results via presentations to a multi-disciplinary audience Cultivate a data-centric company philosophy by helping to maintain best practices for software development, data management, and infrastructure Monitor and evaluate new and emerging technologies and models and identify opportunities for collaboration within Flagship Pioneering companies, academia, and third parties Basic Requirements: Ph D in computational biology, bioinformatics, or related field with 5+ years of experience in Biotech/Pharma space Extensive Python programming experience, including performance tuning, debugging, and familiarity with standard scientific packages for single-cell data analysis.

Deep understanding of biology and ability to formulate and test relevant hypotheses from large-scale molecular datasets Proficiency with git, Docker and AWS Ability to independently lead and run research projects, while maintaining close communication with team members Excellent communication and presentation skills. Must be able to speak and ideate with multi-disciplinary team including biologists.

Must be able to think independently, work collaboratively and contribute to an active intellectual environment Preferred Requirements : Experience with time series analysis, causal inference, domain adaptation, transfer learning, multi-modal deep learning, and geometric deep learning (learning on graphs and/or manifolds) Familiarity with R/Bioconductor and Nextflow Experience working with reference biological databases and datasets (e. g. TCGA, UK Biobank) is a strong plus Experience with CMAP, LINCS or other perturbagen (e. g. small molecule, CRISPR, etc. ) induced transcriptomic databases At Flagship, we recognize there is no perfect candidate.

If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, " FSP" ) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team.

Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.