Title: Senior Scientist – Cheminformatics & Computational Discovery

Location: Cambridge / Boston, MA (Hybrid/On-site)

Sector: Global Biopharmaceutical

Salary: $137,000 – $215,000 + Bonus + Comprehensive Benefits

About the Opportunity:

We are partnering with a world-class global pharmaceutical leader to identify an innovative Senior Scientist to join their Cheminformatics and Data Science division. This is a high-impact role aimed at championing a "prediction-priority" approach to drug discovery. You will be instrumental in bridging the gap between traditional medicinal chemistry and advanced computational modeling to accelerate life-changing therapeutic breakthroughs.

Key Responsibilities:

1. Workflow Innovation: Design, automate, and implement sophisticated cheminformatics pipelines and data visualization platforms to empower discovery teams.
2. Predictive Modeling: Develop and deploy machine learning models to optimize molecular design, drawing insights from massive chemical and biological datasets.
3. Strategic Collaboration: Act as a key scientific partner to Global Medicinal Chemistry, DMPK, and AI/ML teams, identifying specific entry points in the DMTA (Design-Make-Test-Analyze) cycle where computational tools can reduce timelines.
4. Cutting-Edge Research: Stay at the forefront of generative chemistry, large-scale chemical space exploration, and AI-driven discovery methods.
5. DEL Expertise: Utilize computational methodologies to analyze DNA Encoded Library (DEL) data and apply Deep Learning techniques to enhance hit identification.

Candidate Profile:

1. Education: PhD in Cheminformatics, Computational Chemistry, Computer Science, or a related quantitative field.
2. Experience: A minimum of 2+ years of post-PhD experience within a biotech or pharmaceutical environment.
3. Technical Skills: Expert-level proficiency in Python (specifically RDKit) or other languages like R or C++. Proven ability to build scalable, automated workflows.
4. Domain Knowledge: Deep understanding of the drug discovery lifecycle and a track record of applying predictive tools to real-world design problems.
5. Niche Skills (Preferred): Experience with Multi-task Deep Learning and DEL data analysis is highly desirable.

Why Join This Team?

My client offers a highly competitive compensation package, including robust short-term and long-term incentives. You will be joining an environment that values transparency and equity, providing top-tier medical/dental/vision coverage, generous 401(k) matching, and significant paid time off. This is a chance to work for a company that invests heavily in its talent and provides a clear roadmap for professional growth within the computational sciences.

Our client is an Equal Opportunity Employer dedicated to diversity and inclusion in the workplace.

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