Our mission is to make biology easier to engineer. Ginkgo is constructing, editing, and redesigning the living world in order to answer the globe's growing challenges in health, energy, food, materials, and more. Our bioengineers make use of an in-house automated foundry for designing and building new organisms.

　　Ginkgo Bioworks is a publicly traded (NYSE: $DNA), high-growth biotechnology company based in Boston's Seaport District, that is redesigning the living world to solve some of the globe's growing challenges in health, energy, food, material, and more. Our mission to "make biology easier to engineer" is poised to disrupt multiple industries by leveraging our innovative data, automation, and scale capabilities in biological engineering.

　　Ginkgo believes that if we are to grow a thriving, sustainable bioeconomy, we must also grow a new market in biosecurity. Our biosecurity and public health initiative, Concentric by Ginkgo, launched a nationwide emergency response to the COVID-19 pandemic, providing end-to-end pathogen monitoring services to schools, communities, and travelers. As we continue to scale Concentric, our work is also evolving in new and exciting directions, from global expansion to the integration of new technologies and capabilities, including our Traveler-Based Pathogen Genomic Surveillance Plan with the CDC.

　　Role Introduction:

　　Concentric by Ginkgo is seeking a full-time Computational Epidemiologist with expertise in epidemiological modeling and advanced statistical analyses to create computational and statistical models to better understand epidemic risk and infectious disease dynamics. You will be part of a diverse, skilled, and mission-driven team focused on innovation and problem-solving. Your work will have a direct impact on global public health.

　　Job Description:

　　As a Computational Epidemiologist, you will be a part of the Epidemiology and Modeling team within Concentric by Ginkgo. You will work alongside the Product, Digital Surveillance, and Engineering subgroups to meet the needs of internal and external stakeholders

　　ResponsibilitiesWork as a member of an agile team, attending sprint planning, design meetings, and retrospectivesPerform advanced statistical analysesDevelop Artificial Intelligence/Machine Learning models for disease prediction and forecastingCreate and adapt epidemiological models in R or other programming languagesRun large-scale models/simulations in a cloud computing environment (AWS and/or GCP)Conduct reviews of the scientific literature Problem-solve and innovate to find new solutions and overcome challengesProvide general analytic and epidemiological support to different parts of the organizationInterface with internal and external customers as a subject matter expertAssist in ongoing evaluation of data to ensure data quality standards are metMaintain open-line communication, participating in and facilitating meetings and other forms of interactive engagement for productive discussions with program personnel, stakeholders, customers, etcOther duties as assigned to support product requirements and Scopes of WorkMinimum RequirementsMS with 3+ years OR PhD in relevant field (PhD preferred)Strong understanding of infectious disease models and statistical principlesExperience working with big data and machine learning and artificial intelligence methodsExperience using a variety of model types and modeling packages and adapting models as neededExperience developing models from the ground upPreferred Capabilities and ExperienceExperience working in a fast-paced, agile development environmentExperience with building pipelines and scaling models with cloud computing platforms, e.g., AWS, GCPExperience working with socioeconomic data and economic modelsExperience working with geospatial data including shapefiles and rastersThe ability to effectively explain complex statistical models to individuals from different disciplinary backgrounds Experience with SQLExperience with version control (git) and coding best practicesExperience with data visualization tools (e.g., Tableau, Looker, etc.)Total compensation for this role is market driven, with a starting salary of $96k+, as well as company stock awards. Base pay is ultimately determined based on a candidate's skills, expertise, and experience. We also offer a comprehensive benefits package including medical, dental & vision coverage, health spending accounts, voluntary benefits, leave of absence policies, Employee Assistance Program, 401(k) program with employer contribution, 8 paid holidays in addition to a full-week winter shutdown and unlimited Paid Time Off policy.

　　To learn more about Ginkgo, visit www.ginkgobioworks.com/press/ or check out some curated press below:What is it really like to take your company public via a SPAC? One Boston biotech shares its journey (Fortune)Ginkgo Bioworks resizes the definition of going big in biotech, raising $2.5B in a record SPAC deal that weighs in with a whopping $15B-plus valuation (Endpoints News)Ginkgo Bioworks CEO on scaling up Covid-19 testing: 'If we try, we can win' (CNBC)Ginkgo raises $70 million to ramp up COVID-19 testing for employers, universities (Boston Globe)Ginkgo Bioworks Redirects Its Biotech Platform to Coronavirus (Wall Street Journal)Ginkgo Bioworks Provides Support on Process Optimization to Moderna for COVID-19 Response (PRNewswire)The Life Factory: Synthetic Organisms From This $1.4 Billion Startup Will Revolutionize Manufacturing (Forbes)Synthetic Bio Pioneer Ginkgo Raises $290 Million in New Funding (Bloomberg)Ginkgo Bioworks raises $350 million fund for biotech spinouts (Reuters)Can This Company Convince You to Love GMOs? (The Atlantic)We also feel that it's important to point out the obvious here - there's a serious lack of diversity in our industry, and that needs to change. Our goal is to help drive that change. Ginkgo is deeply committed to diversity, equity, and inclusion in all of its practices, especially when it comes to growing our team. Our culture promotes inclusion and embraces how rewarding it is to work with people from all walks of life.

　　We're developing a powerful biological engineering platform, so we must remain mindful of the many ways our technology can - and will - impact people around the world. We care about how our platform is used, and having a diverse team to build it gives us the best chance that it's something we'll be proud of as it continues to grow. Therefore, it's critical that we incorporate the diverse voices and visions of all those who play a role in the future of biology.

　　It is the policy of Ginkgo Bioworks to provide equal employment opportunities to all employees, employment applicants, and EOE disability/vet.

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