Senior Principal Scientist - Cheminformatics/ML

September 16

🇺🇸 United States – Remote

🍂 Massachusetts – Remote

Although this job is listed in Massachusetts, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🧬 Research Scientist

🦅 H1B Visa Sponsor

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Flare Therapeutics

WebsiteLinkedInAll Job Openings

11 - 50 employees

🧬 Biotechnology

💊 Pharmaceuticals

🔬 Science

💰 $123M Series B on 2023-03

Description

• Provide scientific leadership in cheminformatics and applied machine learning capabilities in the Flare Discovery group. • Build up Flare’s cheminformatics and machine learning capabilities for library design, hit identification, and lead optimization projects. • Work with research informatics and data teams to deploy enterprise-level cheminformatics and machine learning solutions. • Oversee and own research data integration across the Flare Discovery group. • Manage bioassay data integration into the Flare data management platform and help lab scientists analyze and report project data efficiently. • Guide the design of compound-focused data analysis dashboards for decision-making in lead optimization. • Act as primary contact between discovery research organization and scientific computing, computational biology, and data science teams.

Requirements

• Ph.D. in relevant scientific discipline with at least three years of experience working in biotech or pharma environment. • Demonstrated expertise with cheminformatics (e.g., RDKit, OEChem) and data science toolkits/libraries (e.g., Pandas, Scikit-Learn, Chemprop, TensorFlow, PyTorch). • Solid understanding of molecule-property data and predictive model quality; expertise in data analytics and grasp of statistical principles. • Strong scientific programming skills (Python) and create production-level code. Familiarity with other programming languages is a plus. • Experience building data visualizations and dashboards (e.g., in Spotfire, Streamlit, Plotly, DataWarrior). • Familiarity with scientific workflow systems (e.g., KNIME, Revvity Signals, GeneData) and quantum chemical methods for structure-property modeling. • Ability to efficiently communicate and collaborate with various departments and partners, excellent organizational skills, and keen attention to detail.