Data Analyst 2

Data Analyst 2

This job is no longer open
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 into new and exciting directions, from global expansion to the integration of new technologies and capabilities, including our Traveler-Based Genomic Surveillance Plan with the CDC. 

To help facilitate the Concentric initiative – and help drive our biosecurity work forward – we’re looking for a talented Data Analyst to join our team. With your expertise, you’ll help to build our Concentric platform that brings biosurveillance testing to the next level, with optimized testing programs that work across test modalities and a growing lab network. You’ll collaborate with a team of talented and diverse engineers, product managers, designers, and experts in data analysis. You’ll help build high quality and actionable analytics used by our customers to empower public health policies and responses. You’ll bridge the gap between needs and solutions by designing processes to collect feedback, identify problems, and develop solutions, all while being a strong internal champion for the customer. You’ll continuously innovate new capabilities for Concentric’s platform to be the center of long-term biosecurity, and be part of the growing robust Bioinformatics capabilities within Concentric. This is your chance to develop analytics that will help make the world a safer, healthier, place.

We use Tableau with data fed predominantly by Snowflake. Our backend tech stack includes AWS, Aptible, Docker, Flask, Kubernetes, PostgreSQL, and other modern tools and frameworks. Our languages of choice for analytics are Python and R. While we don't expect you to be an expert in every platform, we do expect that you have a solid foundation in data analysis including writing queries, parsing and interpreting data, data visualization, and to be able to master the technologies that we use today (and will adopt in the future).

Responsibilities

    • Design and implement data solutions that address the current needs of Concentric by Ginkgo’s customers and partners
    • These solutions leverage existing platforms (e.g., Tableau) 
    • Collaborate with your tech lead and product manager to define key milestones and deliverables
    • Work as a member of an agile team, attending sprint planning, design meetings, and retrospectives
    • Work closely with product leaders to gather requirements with a focus on understanding the customer’s scientific and business needs, then mapping those to data, data models, and analyses
    • Data QA, Cleaning, and Auditing
    • Document data models and create and maintain datasets for relevant products
    • Write custom and complex queries to support a variety of data asks
    • Monitor the data environments, deliverables and dashboards to detect and address customers' issues
    • Support business-critical KPI deliverables and analyses
    • Develop analytics products following source and configuration control best practices
    • Participate in the data collection and data storage design processes to ensure the resulting data is compatible with analytics goals for the project
    • Identify value-add features and iterate on dashboard designs in a way that will empower our users to use data more effectively

Minimum Requirements

    • BS in Math/Stats, Public Health, Biology, CS, Engineering, or comparable3-5 years of experience in a data analyst or equivalent position
    • Prior relevant internship and/or research experience preferred
    • Experience with data visualization tools (e.g., Tableau, Looker, etc.)Proficient in SQL and Python
    • Comfortable working with both internal stakeholders and external customers
    • Excellent verbal and written communication skills
    • Flexibility to work in a fast-paced environment
    • Strong attention to detail, with the ability to manage and prioritize multiple, concurrent responsibilities

    • MS Preferred 
    • Competence with a statistical programming language (e.g., R, SAS, etc.)
    • Working knowledge of biology and public health concepts relevant to Concentrics mission
    • Experience with software and data analytics practices for HIPAA compliance
Total compensation for this role is market driven, with a starting salary of $100,000+, 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.

Note on culture: Concentric by Ginkgo is a high energy, positive and fast paced environment where new challenges and opportunities arise every day, so this opportunity is ideal for people who thrive in those kinds of environments, and for people who like lots of variety in their day. There are lots of opportunities to learn and grow. The team is motivated by doing high impact work in service to society. To get a sense of the culture at Ginkgo, read some articles in Grow by Ginkgo, the company magazine we produce, which tells the story of synthetic biology in a Ginkgo-authentic way.

To learn more about Ginkgo, check out some recent press:
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 and employment applicants.
This job is no longer open
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