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
• Lead the design, development and validation of models that predict phase behaviors and physiochemical properties of chemical mixtures across temperature, hydration, and concentration gradients • Architect and own a generative “lab-in-the-loop” modeling pipeline, that incorporates human input of the chemical formulation scientist, integrates experimental feedback and proposes the next set of experimental samples to be tested in the wet lab • Build on top of next-generation chemistry ML methods, such as chemical LLMs, reaction prediction, and electronic structure methods like DFT • Own the data flow pipeline, including definition of data standards and processing, data distribution analysis, and visualization to guide the team and inform decision-making processes • Act as a technical thought partner to chemists, experimental scientists, and leadership, translating scientific questions into modeling strategy and experimental design • PROFESSIONAL EXPERIENCE & QUALIFICATIONS • PhD (or equivalent experience) in machine learning, computational chemistry, organic chemistry, chemical engineering, materials science, or related field • 2+ years of demonstrated experience leading or independently driving the development, training, and validation of ML models in chemistry, materials science, or related domains in a postdoc, industry, or other professional setting • Knowledge of fundamentals of chemical properties is essential • Proficiency in Python-based deep-learning frameworks (e.g. torch, PyTorch lightning), ML logging software (e.g. MLFLow, WandB), relevant scientific libraries for chemistry (e.g. RDKit), and hyper-parameter optimization (e.g. Optuna) • Ability to design, maintain, and evolve Python compute environments and ML infrastructure • Strong code organization and reproducibility work ethics and usage of git-based workflows • Familiarity with cloud/HPC frameworks (e.g. AWS, azure), containerization (e.g. docker), and batch compute • Experience handling large, noisy experimental datasets • Strong team player: ability to communicate and work hand-in-hand with chemists, lab scientists, and operational team members • Experience with DFT and molecular dynamics tools preferred • Experience in Bayesian optimization, active learning, reinforcement learning preferred • Prior work on lab-in-the-loop platforms or early-stage teams preferred • Knowledgeable in thermodynamics, statistical mechanics, and hydrogen-bonding interactions; familiarity with phase-diagram analysis preferred • LOCATION: Cambridge, MA • 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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