\nAbout Foresite Labs\n\nForesite Labs is a translational R&D team that derives insights from precision measurement and population-scale biology and genetics to address unmet clinical needs. We use human genetics to systematically dissect and understand human disease biology and develop and critically evaluate therapeutic hypotheses. We engage in translational research, transforming basic insights into therapeutic opportunities. Our work supports drug discovery and company formation, and provides the core around which new ideas are realized and incubated. We offer competitive salaries, excellent benefits, a flexible work environment, and the opportunity to learn from top thinkers in various disciplines. Foresite Labs is headquartered in San Francisco and Boston. \n\nRole\n\nWe are looking for an experienced applied statistical geneticist to join our team as an Associate Director to support the development and testing of therapeutic hypotheses across disease domains. We offer a flexible work environment, a diverse set of projects, and a best-in-class peer group to learn from. This is a great opportunity to tackle a unique set of problems while shaping the future of healthcare. If you’re a statistical geneticist or genetic epidemiologist with interest in using your skills and experience to understand and improve human health, let’s talk.\n\nResponsibilities\n\n\n* Design and lead the execution of large-scale human genomic analyses to facilitate therapeutic target discovery and validation, as well as evaluate therapeutic hypotheses and opportunities across multiple disease areas.\n\n* Evaluate and design large-scale human genomic discovery collaborations with external partners in biotech, pharma, and healthcare sectors.\n\n* Translate genomic insights into clinically and biologically meaningful results that can support R&D initiatives of launched companies and those in incubation.\n\n* Work in close peer-to-peer collaboration with colleagues throughout Foresite Labs and Foresite Capital to identify opportunities for therapeutic translation.\n\n* Interpret and communicate analysis findings to internal and external stakeholders to support decision-making for launched companies and incubation efforts with genomic insights.\n\n\n\n\nQualifications\n\nRequired for Assoc. Director/Director level\n\n\n* PhD in Human Genetics, Statistical Genetics, Genetic Epidemiology, Biostatistics, or Statistics.\n\n* 6+ years of experience in human genomics research post PhD. \n\n* 3+ years of pharmaceutical industry R&D experience, preferably in performing or leading a team to perform analyses leveraging genomic data for drug discovery and development. \n\n\n\n\nRequired for Sr. Scientist level\n\n\n* PhD in Human Genetics, Statistical Genetics, Genetic Epidemiology, Biostatistics, or Statistics.\n\n* 3+ years of experience in human genomics research post PhD. \n\n\n\n\nRequired for all levels: Sr. Scientist/Assoc. Dir./Dir.\n\n\n* A proven track record of genomic discovery in large-scale GWAS and WES/WGS datasets in academia and/or industry.\n\n* Knowledge of the full range of genome-wide and phenome-wide analysis approaches, encompassing genotype and sample quality control, phenotype evaluation, imputation, and approaches for well-calibrated association discovery in the presence of cryptic relatedness, population structure, extreme case-control imbalance, and sparse observations.\n\n* Hands-on experience in the design, execution, and quality control of common and rare variant association analyses in large WES/WGS and GWAS datasets. Familiarity with the full range of single- and aggregated marker methods (e.g. burden, SKAT, VT).\n\n* Experience leveraging a broad range of publicly available databases to annotate data/results or supplement results interpretation from statistical analyses. \n\n* Extensive experience in the design and execution of meta- and mega-analyses of common, rare, and ultra-rare variants in single- and multi-ancestry collections.\n\n* Experience in polygenic score construction, validation, and application of methods to increase portability across ancestries.\n\n* Experience in fine-scale locus dissection and in causal inference from individual-level and summary association data.\n\n* Extensive experience in statistical programming with R, Python, or other programming languages, and with tools for large-scale analyses (e.g. SAIGE, REGENIE, METAL/RAREMETAL, MAGMA/FUMA, Coloc/FastEnloc, 2SMR, etc.).\n\n* Experience managing junior and senior team members.\n\n* Excellent oral and written communication skills. Ability to translate genomic findings and communicate complex concepts to stakeholders with a wide range of backgrounds and technical familiarity.\n\n* Ability and desire to work in a fast-paced, interactive, and fluid environment with shifting deadlines and priorities, in a multidisciplinary team focused on therapeutically-relevant genomic discovery. \n\n\n\n\nPreferred for all levels: Sr. Scientist/Assoc. Dir./Dir.\n\n\n* Experience in the design, management, and execution of large-scale multi-site collaborative studies and with electronic health record derived phenotypes.\n\n* Software engineering experience, eg. git, package management and deployment, workflow management systems such as Nextflow or Snakemake, and knowledge of distributed/parallel computation.\n\n\n\n\nSalary range: $150k-250k\n\nForesite Labs is an equal opportunity employer. We thrive on diversity and collaboration. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Senior and Junior jobs that are similar:\n\n $35,000 — $60,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\n\nCompany Summary:\n\n\nLaronde is pioneering a platform that offers a completely novel way of modulating human biology. Endless RNA™ (eRNA), invented at Flagship Labs, is a uniquely engineered RNA that can be programmed to express diverse proteins inside the body. It is persistent, non-immunogenic, allows for repeat dosing, and offers flexibility in formulation and delivery. Laronde was founded in 2017 by Flagship Labs, the innovation foundry of Flagship Pioneering. Laronde has raised a record breaking $440 Million in a Series B Financing to advance the development of its eRNA platform and a broad pipeline of programs across a number of therapeutic categories. The company is rapidly scaling to support the parallel development of multiple programs across many disease areas. To learn more, please visit the company’s \nwebsite at https://www.laronde.bio/ .\n\nLaronde was founded by Flagship Pioneering, a team of entrepreneurial scientists that conceives, creates, resources and grows first-in-category life sciences companies. Since 2000, Flagship has created over 100 groundbreaking companies pioneering novel and proprietary biological, industrial and engineering approaches to solve major needs in human health and sustainability. Since its launch in 2000, the firm has, through its Flagship Labs unit, applied its unique hypothesis-driven innovation process to originate and foster more than 100 scientific ventures, resulting in over $130 billion in aggregate value. To date, Flagship has deployed over $2.5 billion in capital toward the founding and growth of its pioneering companies alongside more than $19 billion of follow-on investments from other institutions. The current Flagship ecosystem comprises 41 transformative companies, including Denali Therapeutics (NASDAQ: DNLI), Indigo Ag, Moderna (NASDAQ: MRNA), Rubius Therapeutics (NASDAQ: RUBY), Sana Biotechnology (NASDAQ: SANA), Seres Therapeutics (NASDAQ: MCRB), and Valo Health.\n\nPosition Summary:\n\nLaronde is seeking an outstanding Principal Scientist, Structural Biology to join a multidisciplinary team of experimental and computational synthetic biologists and engineers responsible for study, design and optimization of novel endless RNA (eRNA) therapeutics. The ideal candidate will lead experimental efforts to characterize eRNA structure in vitro and inside living cells in a high-throughput manner through applying the world-class chemical probing tools coupled with next-generation sequencing (NGS) technologies. If you are a passionate and purposeful scientist keen on testing your hypotheses and learning from some of the best synthetic biologists and engineers whilst getting to work with complex multidimensional data sets, then we are looking for you.\n\nFor this role we are also open to remote working or a hybrid of remote/onsite.\n\n\nKey Responsibilities:\n\n\n* Perform and supervise development and implementation of novel chemical probing methods to interrogate eRNA structural features in a variety of contexts and to understand the eRNA sequence-structure-function relationships\n\n* Provide leadership and mentor more junior experimental scientists\n\n* Work closely with an interdisciplinary team of experimental and computational biologists to design experiments, analyze data, interpret and present your results at company meetings and strategic program readouts\n\n* Work effectively with High-throughput Pharmacology, Chemistry, Therapeutic areas, Discovery Biology, and Manufacturing teams to drive discovery and development efforts\n\n* Maintain scientific and technical expertise through familiarity with scientific literature and attending conferences\n\n* Work closely within an entrepreneurial, highly-collaborative, interdisciplinary, and fast-paced environment and willingness to change the status quo\n\n\n\n\nQualifications:\n\n\n* PHD in Molecular Biology, Biochemistry or a related field with 12+ years of post-doctoral experience in academia or industry\n\n* Strong expertise in RNA biochemistry and RNA structural biology\n\n* Experience with chemical probing (e.g., SHAPE-MaP) is a strong plus\n\n* Expertise in NGS library preparation, bulk and single-cell RNA sequencing, and analysis of RNA-binding protein interactions\n\n* Experience culturing mammalian cell lines and primary cells\n\n* Drug discovery experience in the field of RNA Therapeutics within industry or academy is preferred\n\n* Peer-reviewed publications that can showcase your skills\n\n* Demonstrated ability in working with highly skilled teams in a fast-paced, entrepreneurial and technical environment\n\n* Excellent communication, scientific writing, and presentation skills\n\n\n\n\n\nKey Responsibilities:\n\n\n* Develop and implement predictive modeling approaches for eRNA stability optimization through eRNA structure designs\n\n* Identify, implement, and develop methods for molecular modeling of RNA folding (2D, 3D, 4D), using integrative computational approaches (RNA software packages, molecular dynamics), and experimental data (SAXS, SHAPE)\n\n* Present your results to an interdisciplinary team of experimental, computational biologists and machine learning colleagues at company meetings and strategic program readouts\n\n* Maintain a well-documented, reusable codebase, and traceable model history\n\n* Generate IP and participate in the drafting of patent filings\n\n* Work closely with Therapeutic areas, Discovery Biology, and Manufacturing teams to drive discovery and development efforts\n\n* Maintain scientific and technical expertise through familiarity with scientific literature and attending conferences\n\n* Work closely within an entrepreneurial, highly-collaborative, interdisciplinary, and fast-paced environment and willingness to change the status quo\n\n\n\n\nQualifications:\n\n\n* Advanced degree in computational biology or computational chemistry with expertise in machine learning or an advanced degree in computational sciences, machine learning or other technical fields with expertise in RNA biology\n\n* Strong domain knowledge in machine learning (Deep Learning, Embeddings, Reinforcement and Transfer Learning) and algorithmic analysis of data\n\n* Drug discovery experience in the field of RNA Therapeutics within industry or academy is preferred\n\n* GitHub repository or publications that can showcase your skills\n\n* Demonstrated ability in working with highly skilled teams in a fast-paced, entrepreneurial and technical environment\n\n* Excellent communication, scientific writing, and presentation skills\n\n\n\n\n \n\nFlagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\n \n\n\nRecruitment & 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.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Biotech and Junior jobs that are similar:\n\n $75,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nCambridge, Massachusetts, United States

\nInitial Responsibilities:\n\n\n* Lead a team of developers creating new features and components for Natera’s proprietary Laboratory Information Management System, powering our commercial clinical laboratory.\n\n* Understand our laboratory and research processes and develop software that effectively supports them.\n\n* Manage projects from conception to release in a commercial environment.\n\n* Mentor junior developers in areas of design, architecture and testing.\n\n\n\n\nWe’re building a team of engineers who want to build software that lasts – extensible, testable, and self-documenting. No biology background is required but this is an excellent opportunity for a strong senior engineer who would like to bring their skills and expertise to the Life Science Industry. The ideal candidate for this position has strong commercial backend experience in an agile environment. You should have an intimate understanding of Java from the framework level down to the VM. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Java, Admin, Senior, Junior, Excel, Biotech, Engineer, Sys Admin, Backend, Testing, Executive, Developer and Digital Nomad jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n