Flagship Pioneering, Inc. - Associate Scientist, in vitro Pharmacology and Assay Development
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Requirements
• Current PhD student in CS, Computational Biology, or related field. • Experience with ML research and applications to problems in Biology and/or Chemistry. • Fluency in Python and experience implementing ML methods with standard tools and packages (e.g., PyTorch, JAX). • Publications in CS, ML, Computational Biology or a similar computational field. • Experience with large, high-dimensional datasets. • Experience with generative models, natural language processing, graphical neural networks, reinforcement learning, or similar. • Familiarity with software development, including git and public cloud computing resources (e.g. AWS, GCP, Azure). • Flagship Pioneering is a bioplatform innovation 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 www.flagshippioneering.com. • Flagship 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. • committed to equal employment opportunity • 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. • Recruitment & Staffing Agencies • The pay range for this role is $50 - $75 per hour. This role is a short-term engagement that is not eligible for health and welfare benefits. Retirement benefits may be available after completing a set number of hours. Compensation and benefits information is based on Pioneering Intelligence's good faith estimate as of the date of publication and may be modified in the future.
Responsibilities
• Design, build, and maintain relational and non-relational databases in AWS (RDS, Redshift, DynamoDB, etc.) • relational and non-relational databases • Lead data model architecture for scientific workflows, ticketing systems, and knowledge platforms • data model architecture • Lead technical consulting engagements with LIMS experts at the cutting edge of biotechnology to enable high-throughput workflows and analytics • high-throughput workflows and analytics • Develop and manage data pipelines for ingesting, cleaning, and transforming lab and operational data • data pipelines • Implement and enforce data governance, security, and access control best practices • data governance • Collaborate cross-functionally with software engineers, ML/AI scientists and domain scientists to ensure performance and alignment with scientific tools (e.g., Benchling) • Monitor, troubleshoot, and optimize database performance and resource usage • Document and automate standard procedures for system maintenance, updates, and data access • Leverage generative AI tools (e.g., Cursor, GitHub Copilot, or custom LLMs) to accelerate scripting, automate documentation, improve query generation, or enhance system monitoring and diagnostics • PROFESSIONAL EXPERIENCE & QUALIFICATIONS • Bachelor’s degree in Computer Science, Information Systems, Bioinformatics, or a related field • Computer Science, Information Systems, Bioinformatics, or a related field • Master’s degree in a technical field or equivalent professional experience in cloud-based data infrastructure or scientific computing highly preferred • cloud-based data infrastructure or scientific computing • 4+ years of experience in database administration, data engineering, or infrastructure roles • Deep experience with AWS cloud services, including RDS, Athena, S3, and IAM • Experience modeling laboratory workflows within a LIMS, including change management and training of users • Experience as an information management system administrator or owner, Benchling preferred • Proficient in SQL, data modeling, ETL/ELT workflows, and interacting with APIs • Familiarity with version control, CI/CD, and infrastructure-as-code tools (e.g., Terraform, CloudFormation) • 2+ years of experience with Bioinformatics workflow management tools, Nextflow preferred • Strong analytical and problem-solving skills • Excellent communication skills and a collaborative mindset • Experience in a life sciences or biotech environment preferred • life sciences or biotech • Exposure to Smartsheet preferred • Familiarity with scientific data standards and FAIR principles preferred • Scripting experience (Python, Shell) for automation and data transformation preferred • Experience applying generative AI tools to support infrastructure automation, data engineering, or operational tooling preferred • Interest in emerging AI-native workflows to enhance data and platform productivity preferred • LOCATION: Cambridge, MA or Durham, NC • LOCATION: • Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies 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 www.flagshippioneering.com. • At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.
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